Seminars
The Biostatistics Seminar Series consists of presentations by a wide range of academic and industry professionals, invited by our department to speak on topics of broad interest across the spectrums of statistics, biostatistics, and data science. In addition, this section includes other relevant presentations within our department, as well as joint presentations hosted alongside other departments in the NYU Statistics community.
- Friday, November 15th, 1:00-2:00pm ET
- Industry seminar series: "Sensitivity Analyses for Time to Event Data in the Context of Estimands"; to be presented by Dr. Christina Nurse of Takeda Pharmaceuticals (RSVP)
- Thursday, November 21st, 2:00-3:00pm ET
Click here to view past events.
Journal Club
The Biostatistics Journal Club is a monthly, student-led discussion (moderated by Dr. Betensky) where we discuss contemporary articles concerning the field of biostatistics. Each month, we cover a different, student-selected article; students should let us know if they are interested in choosing this article and leading the discussion.
- Tuesday, November 12th, 1:45-2:45pm ET
- Discussion to be led by 2nd-year MS student Tianze Tang, on Scientific Reports article "Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning"
- Tuesday, December 3rd, 1:45-2:45pm ET
- Article and presenter TBA
Click here to view past journal club articles.
Professional Development Series
Our department strives to ensure that you’ll be prepared for professional life post-graduation. In service of this, we will organize monthly events at which fellow students, other NYU resources, and external professionals can speak to you about the skills required to succeed at NYU and beyond.
- Wednesday, November 20th, 10:00-11:00am
- "Open Data: What it is, Why it's important and How to use it", to be presented by Zachary Feder of the NYC Office of Technology & Innovation (RSVP)
- Friday, December 6, 1:00-2:00pm ET
- Career Development Office Hour with Dr. Jemar Bather (RSVP)
Click here to view past events.
Student Life
In addition to learning and preparing for fruitful careers in biostatistics, it is also important to us that students be able to enjoy themselves while connecting with one another during our program. To this end, we host many events with the specific aim of fostering these connections, as well as providing opportunities to explore the city of New York.
- Friday, November 15th, 5:00pm ET
- Movie Night: Deadpool & Wolverine (RSVP)
Click here to view past events.
*While most upcoming events are likely to occur at the listed times, we will send out communications and RSVPs prior to each which will serve as concrete confirmation of schedule.
**We will create RSVP forms for many events. In the case of catered events, this is required for us to gauge how much food to order (and occasionally take individual orders), but otherwise this is an optional, low-commitment RSVP that just gives us an idea of how many people to expect.
Past Events
- Special seminar: "Sparse Heteroskedastic PCA in High Dimensions"; presented by Dr. Zhao Ren of the University of Pittsburgh Department of Statistics (RSVP)
- Took place on November 7th, 2024
- "Integrative Genomics: Simple Statistics or Complicated Deep Learning?"; presented by Dr. Hongzhe Li of the U Penn Perelman School of Medicine, Department of Biostatistics, Epidemiology, and Informatics (RSVP)
- Took place on October 31st, 2024
- Industry seminar series: "Sitting at the Intersection: An Interdisciplinary View on Data Science"; presented by Dr. Lorin Crawford, Principal Researcher at Microsoft Research and Distinguished Senior Fellow in Biostatistics at Brown University
- Took place on October 17th, 2024
- Special seminar: "Factorial Differences-in-Differences"; presented by Dr. Peng Ding of the UC Berkeley Department of Statistics
- Took place on October 15th, 2024
- "Crowdsourcing with Multi-institutional EHR to Improve Reliability of Real World Evidence - Opportunities and Challenges"; presented by Dr. Tianxi Cai of the Harvard Medical School, Department of Biomedical Informatics (Flyer)
- Took place on October 10th, 2024
- Special seminar: "Covariance Estimation and Inference for Time Series Data with Mean Shifts", presented by Dr. Ning Hao of the University of Arizona, Department of Mathematics
- Took place on September 11th, 2024
- Master's Student Research Symposium - A series of 7 presentations by current and graduating master's students in our department on research completed in the 2023-2024 academic year
- Took place on May 13th, 2024
- Joint Seminar with NYU Grossman School of Medicine; "Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment", presented by our department's Dr. Siyu Heng (Flyer)
- Took place on May 8th, 2024
- Industry Seminar Series; "Roivant, Drug Development, and Biostats in Biotech", with Dr. Matthew Gline, Chief Executive Officer at Roivant Sciences (Flyer)
- Took place on May 2nd, 2024
- "Revolutionizing Medical Image Data Analysis: Uniting AI and Statistics for Breakthroughs and Challenges", presented by Dr. Hongtu Zhu of the University of North Carolina at Chapel Hill (Flyer)
- Took place on April 24th, 2024
- Industry Seminar with Andrés (Andy) Houseman, Scd: "AI/ML in Drug Development: industry trends in decision-making and other applications" (Flyer, Slides)
- Took place on April 18th, 2024
- Panel Discussion - "Black Statisticians: Past, Current, and Future", in honor of Minority Health Month (Flyer)
- Took place on April 16th, 2024
- "Mapping and Measuring Spatially Varying Racial Inequities in Cardiovascular Health: Traditional Frequentist and Bayesian Statistical Methodological Implications", presented by Dr. Loni Philip Tabb of Drexel University (Flyer)
- Took place on April 15th, 2024
- "Statistical challenges in the selection of causal graphical models ("causal discovery") and data-driven estimation of causal effects for public health", presented by Dr. Daniel Malinsky of the Columbia University Mailman School of Public Health, Department of Biostatistics (Flyer)
- Took place on April 11th, 2024
- Panel Discussion - Celebrating Women Statisticians (Flyer)
- Took place on April 10th, 2024
- Industry Seminar Series - Dominique McDaniel, PhD (Flyer)
- Took place on April 10th, 2024
- "Gaussian Networks In Practice: Problems Tackled and To Be Tackled", presented by Dr. Hongmei Zhang of the University of Memphis (Flyer)
- Took place March 25th, 2024
- NYC Open Data Week Presentation: "Public Data for Public Health: Applications to NYC", featuring research presentations by our graduate students (Flyer)
- Took place on March 18th, 2024
- "SOFARI: High-Dimensional Manifold-Based Inference", presented by Dr. Jinchi Lv of the University of Southern California (Flyer)
- Took place on March 15th, 2024
- "ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping", presented by Dr. Jingyi Jessica Li of the UCLA Department of Statistics (Flyer)
- Took place on March 14th, 2024
- "Everything but the kitchen sink: Incorporating all available data to monitor the COVID-19 epidemic", presented by Dr. Constantin Yiannoutsos of the Indiana University Fairbanks School of Public Health (Flyer)
- Took place on March 4th, 2024
- "Health Equity: Leveraging the horsepower of spatial and big data analysis for tackling global health challenges across populations and geography", presented by Dr. Guangqing Chi of Pennsylvania State University (Flyer)
- Took place on February 23rd, 2024
- "Causal Effect Estimation in the Presence of Unmeasured Confounders", presented by Dr. Razieh Nabi of the Emory University Department of Biostatistics and Bioinformatics (Flyer)
- Took place on February 1st, 2024
- "Statistical Foundation of Deep Learning: Application to Big Data", presented by Dr. Tapabrata Maiti of Michigan State University (Flyer)
- Took place on January 24th, 2024
- "An approach to nonparametric inference on the causal dose response function", presented by Dr. Aaron Hudson of the Fred Hutchinson Cancer Center (Flyer)
- Took place on December 7th, 2023
- "An Introduction to ICH Guidelines & the Electronic Common Technical Document (eCTD): the What, When, Why & How of Biostatisticians in the Pharmaceutical Industry", presented by Dr. Kevin Roberts of Pfizer, Inc.
- Took place on November 30th, 2023
- Joint seminar with NYU Grossman School of Medicine; "Causal Survival Analysis Under Competing Risks Using Longitudinal Modified Treatment Policies", presented by GSOM's Dr. Ivan Diaz
- Took place on November 16th, 2023
- Joint seminar with NYU Steinhardt Applied Statistics, "Measurement Error and Interpretability of Latent Class Models", presented by Dr. Brian P. Flaherty, Director of the UW Behavioral Research Center for HIV, Joint Seminar with NYU Steinhardt Applied Statistics
- Took place on November 8th, 2023
- "Fighting Noise with Noise: Causal Inference with Many Candidate Instruments", presented by Dr. Dehan Kong of the University of Toronto Department of Statistical Sciences
- Took place on October 26th, 2023
- "Generalizing the intention-to-treat effect of an active control against placebo from historical placebo-controlled trials to an active-controlled trial: A case study of the efficacy of daily oral TDF/FTC in the HPTN 084 study", presented by Dr. Bo Zhang of the Fred Hutchinson Cancer Research Center
- Took place on October 23rd, 2023
- "Confronting Race, Gender, & Ability Bias in Tech", presented by Meredith K. Broussard of the NYU Arthur L. Carter Journalism Institute
- Took place on October 12th, 2023
- "R 2-based mediation analysis with high-dimensional omics mediators", presented by Dr. Peng Wei, Professor, Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas (Slides)
- Took place on June 8th, 2023
- "Statistics and the Industries of Today", presented by Dr. David Banks, Professor of the Practice of Statistics at Duke University (Flyer)
- Took place on May 18th, 2023
- "Multilevel Bayesian Latent Class Growth Mixture model for longitudinal Zero-inflated Poisson data", presented by Kiros Berhane, Chairman of the Department of Biostatistics at the Columbia University Mailman School of Public Health (Flyer)
- Took place on May 11th, 2023
- "Statistical Approaches for Assessing and Enhancing Replicability", presented by Iman Jaljuli, a research scholar at Memorial Sloan Kettering Cancer Center, Department of Biostatistics (Flyer)
- Took place on Monday, April 24th, 2023
- "Celebrating Women Statisticians at NYU (Part I)" (Flyer)
- Took place on Wednesday, April 19th, 2023
- "Closing the Loop: Digital Health Meets Data Science", a joint seminar to be presented by NYU-Moi DSSD visiting scholars Philomena Ngugi and Job Nyameino (Flyer)
- Took place on Tuesday, April 18th, 2023
- On March 29th, 2023, our department was honored to host Robert L. Santos, director of the U.S. Census Bureau, for a campus visit, including a seminar, "The real challenge facing applied statisticians, data scientists, analysts", as well as a "fireside chat" with our students, a discussion on future collaborations with our faculty, and more. Director Santos was joined by his senior advisor Tomás Encarnacion, as well as Leila Dickerson, director of the U.S. Census Bureau's New York Regional Office, and its decennial specialist, Jennifer Dublin. (Article, Video, Photos)
- "Building and validating risk models for clinical and public health applications" presented by Dr. Ruth Pfeiffer of the National Cancer Institute (Flyer)
- Took place on Monday, March 6th, 2023
- "Revisiting latent variable models from a deep learning perspective" presented by Dr. Xiao Wang of Purdue University (Flyer)
- Took place on Thursday, March 2nd, 2023
- "Model-based deep embedding for the analysis of single-cell RNA sequencing data" presented by Dr. Zhi Wei of the New Jersey Institute of Technology (Flyer)
- Took place on February 27th, 2023
- "Flexible Regression Models for Dispersed Count Data", presented by Dr. Kimberly Sellers of Georgetown University
- Took place on February 23rd, 2023
- "Distances in Inference and Data Analysis: Theoretical Developments and Data Analytic Insights" presented by Dr. Marianthi Markatou of University at Buffalo (Flyer)
- Took place on February 16th, 2023
- "Sensitivity Analysis under Unmeasured Confounding" presented by Dr. Zhiqiang Tan of Rutgers University (Flyer)
- Took place on February 13th, 2023
- "Variable Selection after Multiple Imputation on Epidemiological Data with Missing Values" presented by Dr. Ye Shen of the University of Georgia (Flyer)
- Took place on February 6th, 2023
- Joint Seminar with Stata and the GPH Office of Research - Lectures on Structural Equation Modeling, Latent Class Analysis, and Mediation Analysis with Stata's Chuck Huber (Full Description)
- Took place on January 17th, 2023
- "Flexible Regression Models for Dispersed Count Data", presented by Dr. Kimberly Sellers of Georgetown University (Flyer)
- Took place on December 1st, 2022
- "Causal Inference on Distribution Functions", presented by Dr. Zhenhua Lin of the National University of Singapore (Flyer)
- Took place on November 22nd, 2022
- Joint seminar with NYU Grossman School of Medicine; "Generalizability, Robustness and Equity in Machine Learning Risk Prediction Models", presented by our department's Dr. Rumi Chunara (Flyer)
- Took place on November 16th, 2022
- "Accelerating Progress Towards the Sustainable Development Goals Through Data and Delivery", presented by Dr. Samira Asma, Assistant Director-General for Data, Analytics and Delivery at the World Health Organization (Flyer)
- Took place on November 10th, 2022
- "Disentangling Confounding and Nonsense Associations Due to Dependence", presented by Dr. Elizabeth Ogburn, associate professor of biostatistics at the Johns Hopkins Bloomberg School of Public Health (Flyer)
- Took place on October 27th, 2022
- "Long-term cognitive effects of work schedules and intervening pathways", presented by Gawon Cho, Ph.D. candidate in Public Health at the School of Global Public health, New York University (Flyer)
- Took place on October 20th, 2022
- The 2022 Workshop on Statistical Network Analysis and Beyond (SNAB2022). Our department’s Dr. Yang Feng led the three-day workshop.
- Event took place from August 3 to 5, 2022
- "Evaluating Spatially-Varying Disparities in Tobacco Retailer Density Across Ohio", presented by Prof. Peter Craigmile (Flyer)
- Took place on August 8th, 2022
- "Replicability Issues in Medical Research: Science and Politics", presented by Prof. Yoav Benjamini of Tel Aviv University (Flyer)
- Took place on April 25th, 2022
- "Bayesian Nonparametric Techniques to Understand Cardiometabolic Risk in US Adults", presented by Dr. Briana Stephenson of the Harvard T.H. Chan School of Public Health (Flyer)
- Took place on Thursday, April 14th, 2022
- Joint seminar with NYU Langone: "A Unified Framework for Latent Variable Approach to Statistical Social Network Analysis", presented by Dr. Samrachana Adhikari of NYU Langone Biostatistics (Flyer)
- Took place on Thursday, March 24th, 2022
- "Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors", presented by Dr. Jinchi Lv of USC (Flyer)
- Took place on Friday, March 11th, 2022
- "What is data science in the public interest? An exploration of ethics codes", presented by Dr. Anne Washington of NYU Steinhardt (Flyer)
- Took place on Thursday, March 10th, 2022
- "Racial/Ethnic Disparities in Longitudinal Emotional–Behavioral Functioning Among Youth Born to Women Living With HIV" presented by Jemar R Bather, MS (Flyer, Video, Article, Presentation Slides)
- Took place on Friday, January 14th, 2022
- "Developing Multilevel Frameworks that Combine Statistical Inference and Mathematical Modeling Studies to Address Health Disparities", presented by Dr. Anarina Murillo (Flyer)
- Took place on Thursday, January 13th, 2022
- “Research Development and Trends in Pharma: Career Paths for Biostatisticians”, presented by Dr. E. Andrés Houseman (Flyer)
- Took place on Thursday, December 2nd, 2021
- "COVID-19 during 2021 in Israel: Waning Immunity and the Booster Dose Effect", presented by Dr. Micha Mandel of the Hebrew University of Jerusalem (Flyer)
- Took place on Thursday, November 4th, 2021
- "Non-inferiority Trials and Tribulations", presented by Albert Einstein College of Medicine's Dr. Mimi Kim (Flyer, Full Abstract & Bio)
- Took place on Thursday, October 14th, 2021
- "Predicting Trajectories of Substance Use During Emerging Adulthood: Exploring the Benefits of Group Based Trajectory Modeling for Zero-Inflated Outcomes", presented by our department's Dr. Stephanie Cook (Flyer)
- Took place on Thursday, September 23rd, 2021
- Joint seminar with the Global Center for Implementation Science: "Configurational Comparative Methods in Implementation Science: A New Mathematical Approach for Cross-Case Analysis", presented by Edward J. Miech, Ed.D. (Indiana University School of Medicine)
- Took place on Tuesday, May 11th, 2021
- "Symposium on Biostatistical Contributions to COVID-19 Research", a selection of presentations by our students, alumni, and faculty on work they have performed in the past year. (Video, Flyer)
- Took place on Friday, April 16th, 2021
- “Bayesian multiplier method for population size estimation using multi-source data”, presented by Abhirup Datta of Johns Hopkins University (Video, Flyer, Bio and Abstract)
- Took place on Wednesday, April 14th, 2021
- “Multi-omics integration of the human gut microbiome and serum metabolome with applications to osteoporosis”, presented by Jonathan Greenbaum of Tulane University (Video, Abstract, Flyer)
- Took place on Wednesday, March 24th, 2021
- "Machine Learning in Health Care: Too Important to Be a Toy Example", presented by Dr. Sherri Rose of the Stanford University Center for Health Policy (Video, Abstract, Flyer)
- Took place on Wednesday, February 24th, 2021
- "Social Statistics: Science, Propaganda, and Fiction", presented by Dr. Tukufu Zuberi of the University of Pennsylvania, Department of Sociology (Video, Abstract, Flyer)
- Took place on Monday, January 18th, 2021
- "Pooling Data from Individual Clinical Trials in the COVID-19 Era", presented by Dr. Andrea B. Troxel of the NYU Grossman School of Medicine, Department of Population Health, Division of Biostatistics (Video, Abstract, Flyer)
- Took place on Thursday, December 3rd, 2020
- "Lifting the Anchor: The Uses and Implications of Effect Codings for Categorical Predictors in Regression", presented by Dr. Jeffrey Simonoff of NYU Stern Department of Statistics (Video, Abstract, Flyer)
- Took place on Wednesday, November 18th, 2020
- "How do we measure built environment health effects?", presented by Dr. Brisa Sanchez of the Drexel Dornsife School of Public Health (Abstract, Flyer)
- Took place on Wednesday, October 21st, 2020
- "Assessing the Cases and Deaths Attributed to COVID-19 and its Impact on Racial/Ethnic Inequities at the County Level: Are We Really All in This Together?", presented by Dr. Loni Tabb of Drexel Dornsife School of Public Health (Video, Abstract, Flyer)
- Took place on Wednesday, September 30th, 2020
- "Introduction to Infectious Disease Modeling", presented by GPH Epidemiology faculty Drs. Erez Hatna and Joshua Epstein (Event Abstract, Video Recording)
- Took place on Monday, April 13th, 2020
- "Understanding Health Behaviors Using Social Media Language", presented by Dr. Lyle Ungar of University of Pennsylvania
- Took place on Wednesday, February 19th, 2020
- "Statistics in Biomedical Research: Experiences from the Past and Perspectives on the Future", presented by NYU Langone faculty Judith D. Goldberg, Sc.D.
- Took place on Wednesday, December 11th, 2019
- “SIMPLE: Statistical Inference on Membership Profiles in Large Networks ft. Dr. Jinchi Lv”, presented by USC faculty Dr. Jinchi Lv
- Took place on Wednesday, November 13th, 2019
- "Modeling Mediation Processes in Randomized Trials with Outcomes at Many Time Points", presented by NYU Professor of Psychology, Patrick Shrout, PhD (Presentation Slides)
- Took place on Wednesday, October 23rd, 2019
- “Integrated Regression Analysis for Multi-Center Studies with Data Harmonization and Variable Selection", presented by NYU Langone faculty Yongzhao Shao, PhD
- Took place on Wednesday, September 11th, 2019
- “Selective Inference: The Silent Killer of Replicability”, presented by Tel Aviv University faculty Yoav Benjamini
- Took place on Tuesday, July 23rd, 2019
- “Close Relationships and Health: Understanding the Associations between Attachment, Minority Stress, and Poor Health Among Racial/Ethnic and Sexual Minority Youth Transitioning to Adulthood”, presented by our department’s own Stephanie Cook, DrPH
- Took place on Monday, April 29th, 2019
- “Internet and Mobile-Sourced Data in Public Health”, presented by our department’s own Rumi Chunara, PhD
- Took place on Wednesday, May 1st, 2019
- “Stratified Win Ratio and Handling of Ties”, presented by iStats Inc. founder Gaohong Dong, PhD
- Took place on Wednesday, November 28th, 2018
- “Domain Adaptation for Learning Individualized Treatment Strategies from Randomized Trials Supplemented by Electronic Health Records”, presented by Columbia faculty Yuanjia Wang, PhD
- Took place on Monday, November 19th, 2018
- “Causal Inference for Complex Observational Data Using Stata”, presented by StataCorp LLC’s very own Chuck Huber, PhD
- Took place on Tuesday, October 30th, 2018
This section lists the articles discussed at each meeting, as well as the students or faculty who led each discussion.
- Statistics in Medicine article, "Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification"; discussion was led by second-year MS student Runze Wang on October 22nd, 2024
- Annals of Epidemiology article "Does water kill? A call for less casual causal inferences"; discussion was led by Dr. Alex Dahlen on September 17th, 2024
- ICML 2023 Workshop SCIS Submission article, "Causal-structure Driven Augmentations for Text OOD Generalization"; discussion was led by first-year MS student Evan Wang on April 18th, 2024
- NEJM Evidence Journal article, "A new look at p-values for randomized clinical trials"; discussion was led by first-year MS student Yupeng He on March 13, 2024
- The International Journal of Obesity article, "Early ascending growth is associated with maternal lipoproteinprofile during mid and late pregnancy and in cord blood"; discussion was led by first-year MS student Nate Maxey on February 14, 2024 (Presentation slides)
- Statistical Science articles "Inference for Nonprobability Samples", "Inference for Nonprobability Samples"; discussion was led by first-year MS student Renhao Li on January 10th, 2024 (Presentation slides)
- Statistics in Medicine article "Propensity score matching after multiple imputation when a confounder has missing data"; discussion was led by 2nd year MS student Wanyi Wang on December 5th, 2023 (Presentation slides)
- Royal Society Open Science Journal article "Big little lies: a compendium and simulation of p-hacking strategies"; discussion was led by 1st-year MS student Kaylen Wei on November 15th, 2023 (Presentation Slides)
- JAMA article "Emulation of Randomized Clinical Trials With Nonrandomized Database Analyses"; discussion was led by 2nd-year MPH student Qiran Liang on October 26th, 2023 (Presentation Slides)
- Statistical Science article "To Explain or to Predict?" and Nature article "Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME"; discussion was led by Dr. Rebecca Betensky on September 21st, 2023
- "Systematic Reviews and Meta-analysis” and “Opioids for Chronic Noncancer Pain: A Systematic Review and Meta-analysis”; discussion was led by MS student Kexin Fu on April 25th, 2023 (Presentation Slides)
- "Mitigating selection bias in organ allocation models", a BMC Medical Research Methodology article; discussion was led by MS student Marina Mautner Wizentier on March 8th, 2023. This article was chosen in part to highlight the work of senior author Dr. Alisa J. Stephens-Shields, a Black woman statistician, in recognition of Black History Month and Women's History Month. (You can read more about Dr. Stephens-Shields and her work on Amstat News, Harvard's website, and the New York Times.) (Presentation Slides)
- "An introduction to multiplicity issues in clinical trials- the what, why, when and how", led by MPH student Phuc Vu on January 24, 2023 (Presentation Slides)
- "Highlights from the US National Academies report on "Revisiting the Table 2 Fallacy: A Motivating Example Examining Preeclampsia and Preterm Birth", - along with the following supplemental material: "The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients", led by MS student Jose Plascencia on December 13th, 2022
- "Co-morbid obsessive–compulsive disorder and depression: a Bayesian network approach", led by MS student Zhihao Chen on November 17th, 2022 (Presentation slides)
- "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations", led by Dr. Rebecca Betensky on September 13, and October 18, 2022
- "XGBoost: a scalable tree boosting system", led by MS student Ching-Tsung (Deron) Tsai on April 19th, 2022
- "Does More Accurate Exposure Prediction Necessarily Improve Health Effect Estimates", led by Zoé Haskell-Craig on March 8th, 2022
- "Relationships Between E-cigarette Use and Subsequent Cigarette Initiation Among Adolescents in the PATH Study: an Entropy Balancing Propensity Score Analysis", led by Yaojie Wang on February 17th, 2022
- "Long-term Effects of the Family Bereavement Program (FBP) on Spousally-Bereaved Parents: Grief, Mental Health, Alcohol Problems, and Coping Efficacy", led by Zhilin Wang on January 11th, 2022
- "Neyman-Pearson classification algorithms and NP receiver operating characteristics", led by Jianan Zhu on November 30th, 2021
- "Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges" and "U-Net: Convolutional Networks for Biomedical Image Segmentation", led by Qiran Jia on November 2nd, 2021
- "Statistical trends of episiotomy around the world: Comparative systematic review of changing practices", led by Hannah Asmail on October 4th, 2021
- Highlights from the US National Academies' "Reproducibility and Replicability in Science" consensus study report, alongside supplementary materials (full report included as a reference), led by Dr. Rebecca Betensky on September 9th, 2021
- "BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting" and "Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available", led by Dr. Rebecca Betensky on April 14th, 2021
- "Application of artificial intelligence for preoperative diagnostic and prognostic prediction in epithelial ovarian cancer based on blood biomarkers", led by Allen Weng on March 9th, 2021
- "Short-term risk assessments in an acute psychiatric inpatient setting: A re-examination of the Brøset Violence Checklist using repeated measurements – Differentiating violence characteristics and gender", led by Samia Shahnawaz on February 9th, 2021
- "Modeling zero-modified count and semicontinuous data in health services research", led by Katherine Siu on January 14th, 2021
- "Estimation of clinical trial success rates and related parameters", led by Devin Mara on December 15th, 2020
- "Alpha Inflation? The Impact of Eliminating Scale Items on Cronbach's Alpha", led by Zoe Haskell-Craig on November 18th, 2020
- "Introduction to the Analysis of Survival Data in the Presence of Competing Risks", led by Siyuan Dong on October 28th, 2020
- "The Generalizability Crisis" (and a public rebuttal to the review of the journal submission), led by Matthew Pathak on September 23rd, 2020
- "The Magic of Randomization versus the Myth of Real-World Evidence", led by Dr. Rebecca Betensky on March 27th, 2020
- "Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia", led by Helen Yang on March 6th, 2020
- "Are birthweight and postnatal weight gain in childhood associated with blood pressure in early adolescence? Results from a Ugandan birth cohort", led by Siyuan Dong on December 12th, 2019
- "Proportion of Cancer Cases Attributable to Excess Body Weight by US State" and "Confounding and Bias in the Attributable Fraction", led by Jinal Shah and Carolyn Winskill on November 19th, 2019
- "Big Data and Machine Learning in Health Care" and "Machine learning: Trends, perspectives, and prospects", led by Yuyu (Ruby) Chen on October 18th, 2019
- "New Guidelines for Statistical Reporting in the Journal" (from the New England Journal of Medicine), led by Dr. Rebecca Betensky on September 25th, 2019
- "An Introduction to Second-Generation p-Values", led by Cynthia Yeh on May 10th, 2019
- "Why Most Published Research Findings are False", led by Dennis Kunichoff on April 5th, 2019
- "Association between non-fatal opioid overdose and encounters with healthcare and criminal justice systems: Identifying opportunities for intervention", led by Jinal Shah on March 8th, 2019
- "The Relative Merits of Risk Ratios and Odds Ratios", led by Carolyn Winskill on February 1st, 2019
- "Trends in Maternal Mortality by Socio-Demographic Characteristics and Cause of Death in 27 States and the District of Columbia", led by Ejiro Gbaje on December 14th, 2018
- "Projecting Health Impacts of Climate Change Embracing an Uncertain Future", led by Dennis Kunichoff on November 30th, 2018
- "The ASA’s Statement on p-Values: Context, Process, and Purpose", led by Dr. Rebecca Betensky on November 9th, 2018
- Career Development Office Hour with Dr. Jemar Bather
- Took place on October 25th, 2024
- Introduction to LaTex with Dr. Matt Frenkel
- Took place on October 1st, 2024
- APE & Summer Internship Panel Discussion
- Took place on September 25th, 2024
- Careers in Biostatistics and Data Science, a Panel Discussion (Flyer)
- Took place on February 29th, 2024
- Presentation by Biostatistics PhD students on 2 submissions to ENAR DataFest 2024 (Flyer)
- Took place on February 6th, 2024
- All of Us Welcome Session with Dr. Stephanie Cook (Flyer)
- Took place on January 22nd, 2024
- Your Biostatistician GitHub: A Step-by-Step Guide with first year MS student Phuc Vu (Flyer)
- Took place on January 18th, 2024
- Build a portfolio website with R and GitHub (Flyer)
- Took place on November 29th, 2023
- Lunch Career Chat with Jemar Bather, PhD (Flyer)
- Took place on November 15th, 2023
- Applied Practice (APE) & Summer Internship panel discussion (Flyer)
- Took place on October 31st, 2023
- Biostatistics Centers & Labs panel discussion (Flyer)
- Took place on October 18th, 2023
- Applying to a PhD Program panel discussion (Flyer)
- Took place on October 11th, 2023
- US Census Data Overview and Workshop, with US Census Bureau Data Dissemination Specialist Joli Golden (Video, Slides, Handouts)
- Took place on September 20th, 2023
- Additional webinar RSVPs: Microdata Access Tool, Census API
- Creating an Academic Poster
- Tuesday, September 5th, 2023
- Job and Internship Planning for Biostatistics (Flyer)
- Wednesday, April 26th, 2023
- Careers in Biostatistics and Data Science: panel discussion (Flyer)
- Wednesday, March 8th, 2023
- APE & Summer Internship, a panel discussion with 2nd-year students discuss their experiences with searching for, participating in, and completing their APEs and summer internships (Video)
- Wednesday, January 25th, 2023
- Data Visualization with Tableau, presented by Denis Rubin, Senior Academic Technology Specialist and Quantitative Lead at NYU Libraries' Data Service (Flyer)
- Tuesday, November 29, 2022
- Faculty Labs & Thesis Projects, panel discussion:
- Rebecca Betensky, PhD
- Consulting Lab
- Journal Club
- Stephanie Cook, DrPH, All of Us Initiative
- Yang Feng, PhD, Dementia subtype prediction
- Melody Goodman, PhD, Measurement, Learning & Evaluation Lab
- Siyu Heng, PhD, Causal inference
- Hai Shu, PhD, Alzheimer's Disease Data
- Violet Xu, PhD, Tobacco Use
- Wednesday, October 19th, 2022
- Rebecca Betensky, PhD
- Applying to a PhD Program
- Thursday, September 15th, 2022
- Practice your interview skills! (Two-part session)
- Interview Skills panel discussion with program alumni
- Monday, April 25, 2022
- Mock Interviews
- Tuesday, April 26 & Thursday, April 28, 2022
- Interview Skills panel discussion with program alumni
- Careers in Biostatistics and Data Science: panel discussion
- Monday, March 7, 2022 ( Video)
- NIH's All of Us Research Program Data Analysis Demonstration with Stephanie Cook, DrPH
- Friday, March 4, 2022 (Presentation Slides | Video)
- Biostatisticians at Memorial Sloan Kettering Cancer Center with Katherine Panageas, DrPH
- Thursday, February 3, 2022 (Video)
- Using Social Media to Grow your Professional Network with Jemar R Bather, MS
- Friday, January 14, 2022 (Presentation Slides | Video)
- Build a portfolio website with R with second year Sean McAtee
- Thursday, December 2, 2021 (Video)
- Applying to PhD programs: Panel Discussion
- Tuesday, November 9, 2021
- APE, Summer Internships and More! Panel Discussion
- Monday, November 1, 2021 (Video)
- Introduction to Responsible Conduct of Research (RCR) with Dr. Christine Ponder
- Thursday, October 21, 2021 12:30 pm
- Second-Year Student Panel Discussion
- Tuesday, October 5th, 2021
- Build a portfolio website with R and GitHub with first year MS student Sean McAtee
- Wednesday, March 10th, 2021 ( Video | Sean's Website)
- Please be aware, there are points within the recording where the image is distorted.
- Additional Handouts Used
- Blogdown-built website examples
- Other Resources:
- Wednesday, March 10th, 2021 ( Video | Sean's Website)
- Introduction to LaTex with Dr. Matt Frenkel
- An introduction to the technical word processing language, LaTex, and its use in Overleaf. This professional development session will be useful if you have a need for advanced math symbols and equations in papers.
- Thursday, March 4th, 2021 (Video, NYU Libraries Resource)
- Tuesday, February 23rd, 2021 (Video)
- Wednesday, February 17th, 2021
- Friday, December 4, 2020 (Video)
- Tuesday, October 27, 2020
- Thursday, September 17, 2020 (Video)
- Wednesday, September 16, 2020 (Video)
- Discussion of PhD programs in Biostatistics
- Thursday, April 2, 2020 (Video)
- Chuck Huber - "Introduction to Causal Inference & Survival Analysis Using Stata
- Monday, March 30, 2020
- Video (Session 1 - Causal Inference)
- Video (Session 2 - Survival Analysis)
- Articles on importing Johns Hopkins COVID-19 data (1, 2, 3)
- Careers in Biostatistics and Data Science, a panel discussion by six distinguished professionals in fields related to biostatistics, about their current positions and the steps they have taken to reach this point in their careers.
- Wednesday, February 12, 2020 (Video)
- APE/Internship Panel Discussion, a discussion of the MPH-required Applied Practice Experience, as well as internships completed by MS students.
- Wednesday, January 29, 2020
- Biostatisticians at Memorial Sloan Kettering Cancer Center, presented by Katherine Panageas, DrPH
- Friday, December 6, 2019 (Video)
- Introduction to Responsible Conduct of Research (RCR), with NYU's Senior Director of Research Affairs, Dr. Christine Ponder
- Thursday, November 7, 2019
- A Statistician’s Life in the Pharmaceutical Industry, with Dr. Jim Xu
- Thursday, April 25, 2019
- Langone PhD in Biostatistics - Application Information Session
- MPH Student Panel on Applied Practice Experience
- Introduction to R with NYU Data Services
- Greenwich Village Ghost Tour (Flyer)
- Took place on October 25th, 2024
- Graduation Reception for Biostatistics Class of 2024 (Photos)
- Took place on May 13th, 2024
- Pi Day Celebration (Flyer)
- Took place on March 14th, 2024
- Lunar New Year Celebration
- Took place on February 14th, 2024
- Lunch & Finals with Biostatistics (Flyer)
- Took place on December 13th, 2023
- NYU Biostatistics Holiday Party (Photos)
- Took place on December 6th, 2023
- Food preparation volunteer opportunity through God's Love We Deliver (Photo, Flyer)
- Took place on November 22nd, 2023
- Movie Night - Barbie (Photo)
- Took place on November 10th, 2023
- Greenwich Village Ghost Tour (Photo)
- Took place on October 27th, 2023
- Graduation Reception for Biostatistics Class of 2023 (Photos)
- Took place on Tuesday, May 16th, 2023
- As part of this reception, we were thrilled to recognize graduating student ambassadors Zhihao Chen, Joseph Obi, Emma Risner, Christine Wang, Claire Yang, and Rebecca Yu, who contributed greatly to the success of many events by providing their time, support, and perspectives. In addition, we recognize graduates Wanyu Hua, David Gong, Ching-Tsung (Deron) Tsai, and Claire Yang for their contributions to the community through tutoring and classroom support.
- Lunch/Faculty Chat with Students
- Took place on April 25th, 2023
- Lunar New Year Celebration (Photos)
- Took place on February 1st, 2023
- God's Love We Deliver volunteer opportunity (Photos)
- Took place on January 17th, 2023
- Department Holiday Party (Photos)
- Took place on December 14th, 2022
- Breakfast & Finals with Biostatistics (Photos)
- Took place on December 8th, 2022
- Visits to Cooper Hewitt Museum, Museum of the City of New York (Photos)
- Took place on November 25th and 26th, 2022
- Incoming Student Lunch & Student Mentor Kickoff
- Took place on September 1st, 2022
- Graduation Reception for Biostatistics Classes of 2020-2022 (Photos)
- Took place on May 17th, 2022