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New arrivals

An Introduction to Survival Analysis Using Stata, 2nd Edition

Introductory Econometrics: A Modern Approach, 4th Edition

Modern Epidemiology, 3rd Edition

Quantile Regression

Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition

Statistics at Square Two, 2nd Edition

Multilevel and Longitudinal Modeling Using Stata, 2nd Edition

Medical Statistics from A to Z: A Guide for Clinicians and Medical Students, 2nd Edition

Principles of Econometrics, 3rd Edition

Using Stata for Principles of Econometrics, 3rd Edition


 Stata Bookstore

Featured titles

cover An Introduction to Survival Analysis Using Stata, Second Edition, by Mario Cleves, William W. Gould, Roberto G. Gutierrez, and Yulia Marchenko, is the ideal tutorial for professional data analysts who want to learn survival analysis for the first time or who are well versed in survival analysis but not as dexterous in using Stata to analyze survival data.
cover Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal, is the most complete, up-to-date depiction of Stata’s capacity for fitting generalized linear mixed models. The authors provide an ideal introduction for Stata users wishing to learn about this powerful data-analysis tool.
cover Applied Survival Analysis: Regression Modeling of Time to Event Data, Second Edition, by David W. Hosmer Jr., Stanley Lemeshow, and Susanne May, is an ideal choice for a semester-long course in survival analysis for health professionals.
cover Introductory Econometrics: A Modern Approach, Fourth Edition, by Jeffrey M. Wooldridge, exemplifies a modern approach to econometrics in its choice of topics and its treatment of standard material.
cover Modern Epidemiology, Third Edition, by Kenneth J. Rothman, Sander Greenland, and Timothy L. Lash, provides a complete desk reference of the methods of modern epidemiology, with contributions from the three authors plus nineteen leading experts from various subfields.
cover Quantile Regression, by Lingxin Hao and Daniel Q. Naiman, provides an excellent introduction to quantile-regression methods. The intuitive explanations and many examples make this book easy to read and understand.
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