Books like Analyzing Medical Data Using S-PLUS

#1

The Model Thinker What You Need to Know to Make Data Work for You

Scott E. Page

Themes: Biostatistics • Mathematical & Statistical Software • Stochastic Processes

#2

Applied Meta-analysis with R and Stata

Ding-Geng (Din) Chen

Themes: Mathematical & Statistical Software • Data Science • Probability & Statistics

#3

Bioinformatics A Practical Guide to Next Generation Sequencing Data Analysis

Hamid D. Ismail

Themes: Biotechnology • Data Science • Probability & Statistics

#4

Data Analysis in Medicine and Health Using R

Kamarul Imran Musa

Themes: Data Science • Probability & Statistics • Research

#5

Information-Statistical Data Mining Warehouse Integration with Examples of Oracle Basics

Bon K. Sy

Themes: Stochastic Processes • Business & Productivity Software • Data Science

#6

Applied Predictive Modeling

Max Kuhn

Themes: Biostatistics • Mathematical & Statistical Software • Stochastic Processes

#7

S+Functional Data Analysis User’s Manual for Windows ®

Douglas B. Clarkson

Themes: Biostatistics • Mathematical & Statistical Software • Stochastic Processes

#8

Fuzzy Control of Queuing Systems

Runtong Zhang

Themes: Stochastic Processes • Business & Productivity Software • Probability & Statistics

#9

Bayesian Survival Analysis

Joseph G. Ibrahim

Themes: Biostatistics • Stochastic Processes • Biotechnology

#10

Working with Dynamic Crop Models Evaluation, Analysis, Parameterization, and Applications

Daniel Wallach

Themes: Biotechnology • Business & Productivity Software • Data Science

#11

Combinatorial Designs Construction and Analysis

Douglas R. Stinson

Themes: Stochastic Processes • Data Science • Probability & Statistics

#12

Statistical Rethinking A Bayesian Course with Examples in R and Stan

Richard McElreath

Themes: Mathematical & Statistical Software • Probability & Statistics • Research

#13

Statistical Monitoring of Clinical Trials Fundamentals for Investigators

Lemuel A. Moyé

Themes: Biostatistics • Stochastic Processes • Probability & Statistics

#14

Joint Modeling of Longitudinal and Time-To-event Data

Robert Elashoff

Themes: Biostatistics • Biotechnology • Probability & Statistics

#15

Statistical Methods for Spatial Data Analysis

Oliver Schabenberger

Themes: Biostatistics • Mathematical & Statistical Software • Probability & Statistics

#16

Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis

Wayne L. Myers

Themes: Biostatistics • Stochastic Processes • Probability & Statistics

#17

The Book of why The New Science of Cause and Effect

Judea Pearl

Themes: Biostatistics • Data Science • Probability & Statistics

#18

Bayesian Thinking in Biostatistics

Gary L. Rosner

Themes: Biostatistics • Probability & Statistics • Research

#19

MRSA In Practice

Ian Gould

Themes: Biotechnology • Probability & Statistics • Software Development & Engineering

#20

Medical Biostatistics

Abhaya Indrayan

Themes: Biostatistics • Probability & Statistics • Research

#21

Essential Biostatistics A Nonmathematical Approach

Harvey Motulsky

Themes: Biostatistics • Probability & Statistics • Research

#22

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Uffe B. Kjærulff

Themes: Mathematical & Statistical Software • Stochastic Processes • Data Science

#23

Interval-Censored Time-to-event Data

Chen

Themes: Biostatistics • Probability & Statistics • Research

#24

Bayesian Analysis with R for Drug Development Concepts, Algorithms, and Case Studies

Harry Yang

Themes: Biostatistics • Probability & Statistics • Research