Shu Xu

Clinical Associate Professor of Biostatistics

Professional overview

Dr. Shu Xu’s work represents a balance of both statistical and applied aspects of quantitative methodology. Her primary quantitative interests include evaluating and developing statistical methods for longitudinal data analysis. Specifically, Dr. Xu’s research focuses on various aspects of latent growth models, missing data methods, and causal inference models.

Dr. Xu has collaborated with substance use, family, and health researchers to advance and share her knowledge of quantitative methodology and pursue a better understanding of the social sciences and public health. She has conducted research with the Family Translational Research Group at NYU and the Methodology Center at the Pennsylvania State University.

Education

BS, Psychology, East China Normal University, Shanghai, China

MS, Quantitative Psychology, University of California, Davis

PhD, Quantitative Psychology, University of California, Davis

Areas of research and study

Biostatistics

Family research

Longitudinal Data Analysis

Missing Data Methods

Mixture Models

Quantitative Research

Publications

Publications

Noxious family environments in relation to adult and childhood caries

On Fitting a Multivariate Two-Part Latent Growth Model

Causal Inference in Latent Class Analysis

Preadolescent drug use resistance skill profiles, substance use, and substance use prevention

Sensitivity Analysis of Multiple Informant Models When Data Are Not Missing at Random

Sensitivity analysis of mixed models for incomplete longitudinal data

Latent curve models: A structural equation perspective

The belief and modeling of aging

老年人的养老观念与养老模式

A study on the relationship between adaptive ability and home environment in middle school