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Regression with linear predictors

Survival analysis: a self-learning text.

Statistical methods in bioinformatics: an introduction

Clinical prediction models: a practical approach to development, validation, and updating

Statistical Analysis of Panel Count Data : 80

Forecasting the Health of Elderly Populations

Use of Restricted Significance Tests in Clinical Trials

Statistical methods for dynamic treatment regimes: reinforcement learning, causal inference, and personalized medicine : 76

Modeling infectious disease parameters based on serological and social contact data: a modern statistical perspective : 63

Epidemiologic studies in cancer prevention and screening : 79

Statistical methods for disease clustering

The fundamentals of modern statistical genetics

Modern issues and methods in biostatistics

Estimating animal abundance: closed populations

Applying Quantitative Bias Analysis to Epidemiologic Data

Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry

Statistical learning in genetics: an introduction using R

Survival analysis: techniques for censored and truncated data

Survival analysis: techniques for censored and truncated data

Mathematical and statistical methods for genetic analysis

Recursive Partitioning in the Health Sciences

Modeling Survival Data: Extending the Cox Model

Logistic regression: a self-learning text

Adaptive Regression for Modeling Nonlinear Relationships

Nonclinical Statistics for Pharmaceutical and Biotechnology Industries

Likelihood and Bayesian Inference: With Applications in Biology and Medicine

Medical applications of finite mixture models

Epidemiology: Key to Public Health

Applied Multivariate Statistics With R

Statistical Inference on Residual Life

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