Chapman and Hall/CRC Practical Statistics in Medicine with R: Understanding Fundamental Concepts through Examples

Practical Healthcare Statistics with Examples in Python and R: A Guide for the Uninitiated

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Data Analysis in Medicine and Health using R (Analytics and AI for Healthcare)

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Modern Statistics with R: From Wrangling and Exploring Data to Inference and Predictive Modelling

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Statistical Computing in C++ and R

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Mastering Health Data Science Using R - Chapman and Hall/CRC

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Practical Sample Size Determination for Medical and Health Researchers

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Handbook of Statistical Methods for Precision Medicine (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Chapman and Hall/CRC Statistical Analytics for Health Data Science

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Advanced Statistical Analytics for Health Data Science with SAS and R (Chapman & Hall/CRC Biostatistics Series)

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Deep-Learning-Assisted Statistical Methods with Examples in R (Chapman & Hall/CRC Data Science Series)

Stochastic Processes with R: An Introduction (Chapman & Hall/CRC Texts in Statistical Science)

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Chapman and Hall/CRC Exercises in Statistical Reasoning Book

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Statistical Prediction and Machine Learning

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Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

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R for Non-Programmers

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Model to Meaning - Statistical Models with R and Python

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Advanced Statistics in Regulatory Critical Clinical Initiatives (Chapman & Hall/CRC Biostatistics Series)

Applied Statistical Methods: Including Nonparametric and Bayesian Approaches

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Multivariate Statistical Methods: A Primer

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Handbook of Statistics in Clinical Oncology

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A Pen and Paper Introduction to Statistics

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Model-Based Monitoring and Statistical Control (Chapman & Hall/CRC Interdisciplinary Statistics)

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Time Series: A Data Analysis Approach Using R (Chapman & Hall/CRC Texts in Statistical Science)

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Time Series: A Data Analysis Approach Using R (Chapman & Hall/CRC Texts in Statistical Science)

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