Advanced Statistical Analytics for Health Data Science with SAS and R More Books by Ding-Geng (Din) Chen & Jeffrey Wilson

Applied Meta-Analysis with R and Stata Applied Meta-Analysis with R and Stata
Applied Meta-Analysis with R and Stata
2021
Statistical Causal Inferences and Their Applications in Public Health Research Statistical Causal Inferences and Their Applications in Public Health Research
Statistical Causal Inferences and Their Applications in Public Health Research
2016
Modern Biostatistical Methods for Evidence-Based Global Health Research Modern Biostatistical Methods for Evidence-Based Global Health Research
Modern Biostatistical Methods for Evidence-Based Global Health Research
2022
Statistical Regression Modeling with R Statistical Regression Modeling with R
Statistical Regression Modeling with R
2021
Statistical Modeling in Biomedical Research Statistical Modeling in Biomedical Research
Statistical Modeling in Biomedical Research
2020
Contemporary Biostatistics with Biopharmaceutical Applications Contemporary Biostatistics with Biopharmaceutical Applications
Contemporary Biostatistics with Biopharmaceutical Applications
2019
Clinical Trial Data Analysis Using R and SAS Clinical Trial Data Analysis Using R and SAS
Clinical Trial Data Analysis Using R and SAS
2017
Statistical Modeling for Degradation Data Statistical Modeling for Degradation Data
Statistical Modeling for Degradation Data
2017
Monte-Carlo Simulation-Based Statistical Modeling Monte-Carlo Simulation-Based Statistical Modeling
Monte-Carlo Simulation-Based Statistical Modeling
2017
Innovative Statistical Methods for Public Health Data Innovative Statistical Methods for Public Health Data
Innovative Statistical Methods for Public Health Data
2015