Statistics & Research Methods

Browse statistics, biostatistics, probability, and research methodology textbooks for graduate students, researchers, and data analysts. Includes intro statistics, advanced methods, multivariate analysis, and applied statistics with R, SPSS, and SAS.

What's included

Introductory and advanced statistics textbooks
Biostatistics for medical and public health research
Probability theory and stochastic processes
Research design and methodology guides
Multivariate analysis, regression, and Bayesian methods
Testing & measurement and psychometrics

Who it's for

PhD and master's students in social sciences, public health, psychology, and biostatistics; data analysts; clinical researchers; and faculty teaching quantitative methods.

Why Book Shop Now

Authentic editions from Springer, Routledge, CRC Press, and Sage. Verified ISBNs and fast US shipping.

CRISPR-/Cas9 Based Genome Editing for Treating Genetic Disorders and Diseases by Luis María Vaschetto

Demand Prediction in Retail A Practical Guide to Leverage Data and Predictive Analytics by Maxime C. Cohen

Introduction to R for Social Scientists A Tidy Programming Approach by Ryan Kennedy

The Routledge Companion to Digital Media and Children by Lelia Green

Age, Period and Cohort Effects Statistical Analysis and the Identification Problem by Andrew Bell

Diversity-Sensitive Personality Assessment by Steven R. Smith

Social Psychology Exploring the Dynamics of Human Experience by Robin R. Vallacher

Crafting Qualitative Research Beyond Positivist Traditions by Pushkala Prasad

Bayesian Statistics An Introduction by Peter M. Lee

Using Predictive Analytics to Improve Healthcare Outcomes by John W. Nelson

Uncertainty The Soul of Modeling, Probability & Statistics by William Briggs

The Action Research Planner Doing Critical Participatory Action Research by Stephen Kemmis

An R Companion to Applied Regression by John Fox

Bayesian Nonparametric Data Analysis by Peter Müller

Categorical Data Analysis and Multilevel Modeling Using R by Xing Liu

Psychoeducational Assessment and Report Writing by Stefan C. Dombrowski

Evaluation Methods in Biomedical and Health Informatics by Charles P. Friedman

Brownian Motion, Martingales, and Stochastic Calculus by Jean-François Le Gall

Clinical Prediction Models A Practical Approach to Development, Validation, and Updating by Ewout W. Steyerberg

Theoretical Statistics Topics for a Core Course by Robert W. Keener

Python for Probability, Statistics, and Machine Learning by José Unpingco

An Introduction to Probability Theory and Its Applications, Volume 1 by William Feller

Grading for Equity What It Is, Why It Matters, and How It Can Transform Schools and Classrooms by Joe Feldman

Statistics for Health Data Science An Organic Approach by Ruth Etzioni