Best books in Biostatistics and Statistical Programming

As we step into 2024, what better way to kickstart the year than with a curated list of the 15 BEST books in Biostatistics and Statistical Programming, handpicked by our team! 📊💻

15 BEST books in Biostatistics and Statistical Programming
Primer of Biostatistics by Stanton A. Glantz
Essentials of epidemiology in public health by Aschengrau, Ann Seage, George R.
Estimating Samples Sizes in Clinical Trials by Steven A. Julious
Estimands, Estimators and Sensitivity Analysis in Clinical Trials by Craig Mallinckrodt, Geert Molenberghs, Ilya Lipkovich, Bohdana Ratitch
Multiple Testing Problems in Pharmaceutical Statistics by Alex Dmitrienko, Ajit C. Tamhane, Frank Bretz
Textbook of Clinical Trials in Oncology by Susan Halabi, Stefan Michiels
Data and Safety Monitoring Committees in Clinical Trials by Jay Herson
Applied Mixed Model Analysis: A Practical Guide (Practical Guides to Biostatistics and Epidemiology) by Jos W. R. Twisk
Adaptive Design Methods in Clinical Trials by Shein-Chung Chow, Mark Chang
Adaptive Design Theory and Implementation Using SAS and R by Mark Chang
An Introduction to Statistical Learning: with Applications in Python by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
Learning SAS by example : a programmer's guide by Ronald P Cody

Happy New Year!