Course literature in Statistics

Partial Least Squares Regression

Probability, Statistics, and Data

Joint Models for Longitudinal and Time-to-Event Data

Gaussian Markov Random Fields

Analysis of Messy Data Volume 1

ROC Curves for Continuous Data

Logistic Regression Models

Generalized Latent Variable Modeling

Handbook of Beta Distribution and Its Applications

The Weibull Distribution

A Primer on Linear Models

Bayesian Methods for Data Analysis

Statistical Aspects of Community Health and Nutrition

Analysis of Categorical Data with R

Applied Surrogate Endpoint Evaluation Methods with SAS and R

Introduction to Statistical Decision Theory

Confidence Intervals for Discrete Data in Clinical Research

Markov Chain Monte Carlo

Principles of Biostatistics

Project-Based R Companion to Introductory Statistics

Probability and Bayesian Modeling

Joint Modeling of Longitudinal and Time-to-Event Data

SAS Programming for Elementary Statistics

A Primer in Probability