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Mixed effects models and extensions in ecology with R

Clinical Prediction Models : A Practical Approach to Development, Validation, and Updating

Analysing ecological data

Applying quantitative bias analysis to epidemiologic data

Regression methods in biostatistics : linear, logistic, survival, and repeated measures models

Applying quantitative bias analysis to epidemiologic data

The Frailty Model

Analysing ecological data

Survival and event history analysis : a process point of view

Meta-Analysis : Methods for Health and Experimental Studies

Applied Mathematical Demography

Likelihood and Bayesian Inference : With Applications in Biology and Medicine

Statistical learning in genetics : an introduction using R

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

Bioinformatics and computational biology solutions using R and Bioconductor

Survival analysis : a self-learning text

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

Analysis of Multivariate Survival Data

The statistical analysis of recurrent events

Dynamic regression models for survival data

Logistic Regression : A Self-Learning Text

Heterogeneity in Statistical Genetics : How to Assess, Address, and Account for Mixtures in Association Studies

Medical applications of finite mixture models

Adaptive regression for modeling nonlinear relationships

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

The statistical analysis of recurrent events

Likelihood, Bayesian and MCMC methods in quantitative genetics

Modeling survival data : extending the Cox model

Dynamic regression models for survival data

Analysis of genetic association studies

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