An Introduction to Survival Analysis Using Stata, Revised Third Edition - Image 1

£68.07

Taylor & Francis An Introduction to Survival Analysis Using Stata, Revised Third Edition

Name: An Introduction to Survival Analysis Using Stata, Revised Third Edition
Brand: Taylor & Francis
Price: 68.07 GBP
Availability: InStock

Software & Graphics

About as cheap as it gets. The only time it was cheaper was 2 months ago.

£68 today · all-time low £66 (Feb 2026) · usually £68

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 61 days • 61 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 61 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £68 (57 days, 93.4%)

Price range: £66 - £69

Price levels: 3 different prices over 61 days

Description

An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to learn survival analysis for the first time or who are well versedin survival analysis but are not as dexterous in using Stata toanalyze survival data. This text also serves as a valuable reference to those readers who already have experience using Stata’s survival analysis routines. The revised third edition has been updated for Stata 14, and it includes a new section on predictive margins and marginal effects, which demonstrates how to obtain and visualize marginal predictions and marginal effects using the margins and marginsplot commands after survival regression models. Survival analysis is a field of its own that requires specialized data management and analysis procedures. To meet this requirement, Stata provides the st family of commands for organizing and summarizing survival data. This book provides statistical theory, step-by-step procedures for analyzing survival data, an in-depth usage guide for Stata's most widely used st commands, and a collection of tips for using Stata to analyze survival data and to present the results. This book develops from first principles the statistical concepts unique to survival data and assumes only a knowledge of basic probability and statistics and a working knowledge of Stata. The first three chapters of the text cover basic theoretical concepts: hazard functions, cumulative hazard functions, and their interpretations; survivor functions; hazard models; and a comparison of nonparametric, semiparametric, and parametric methodologies. Chapter 4 deals with censoring and truncation. The next three chapters cover the formatting, manipulation, stsetting, and error checking involved in preparing survival data for analysis using Stata's st analysis commands. Chapter 8 covers nonparametric methods, including the Kaplan–Meier and Nelson–Aalen estimators and the various nonparametric tests for the equality of survival experience. Chapters 9–11 discuss Cox regression and include various examples of fitting a Cox model, obtaining predictions, interpreting results, building models, model diagnostics, and regression with survey data. The next four chapters cover parametric models, which are fit using Stata's streg command. These chapters include detailed derivations of all six parametric models currently supported in Stata and methods for determining which model is appropriate, as well as information on stratification, obtaining predictions, and advanced topics such as frailty models. Chapter 16 is devoted to power and sample-size calculations for survival studies. The final chapter covers survival analysis in the presence of competing risks.

Key Features

An Introduction To Survival Analysis Using Stata, Revised Third Edition

Product Type: Abis Book

Brand: Taylor Francis

Product Specifications

Brand: Taylor & Francis
Format: paperback
ASIN: 1597181749
Category: Books > Subjects > Computing & Internet > Software & Graphics
Domain: Amazon UK
Release Date: 10 May 2016
Listed Since: 25 April 2016

Barcode

No barcode data available

Taylor & Francis An Introduction to Survival Analysis Using Stata, Revised Third Edition

About as cheap as it gets. The only time it was cheaper was 2 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Advanced Survival Models (Chapman & Hall/CRC Biostatistics Series)

Survival Analysis Using S: Analysis of Time-to-Event Data: 61 (Chapman & Hall/CRC Texts in Statistical Science)

Statistical Methods for Survival Data Analysis, 4th Edition (Wiley Series in Probability and Statistics)

Survival Analysis with Python

Applied Survival Analysis Using R (Use R!)

Dynamic Regression Models for Survival Data (Statistics for Biology and Health)

Survival Analysis in Medicine and Genetics: 56 (Chapman & Hall/CRC Biostatistics Series)

Survival Analysis Using SAS: A Practical Guide, Second Edition

Survival Analysis for Epidemiologic and Medical Research: A Practical Guide (Practical Guides to Biostatistics and Epidemiology)

Survival Analysis for Epidemiologic and Medical Research: A Practical Guide (Practical Guides to Biostatistics and Epidemiology)

CRC Press Multivariate Survival Analysis and Competing Risks

Survivorship Analysis for Clinical Studies: 114 (Statistics: A Series of Textbooks and Monographs)

Multivariate Survival Analysis and Competing Risks (Chapman & Hall/CRC Texts in Statistical Science)

The Statistical Analysis of Doubly Truncated Data: With Applications in R (Wiley Series in Probability and Statistics)

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS (Chapman & Hall/CRC Interdisciplinary Statistics)

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS (Chapman & Hall/CRC Interdisciplinary Statistics)

Empirical Likelihood Method in Survival Analysis (Chapman & Hall/CRC Biostatistics Series)

Survival Analysis with Long-Term Survivors: 16 (Wiley Series in Probability and Statistics)

Survival Analysis: Proportional and Non-Proportional Hazards Regression

Empirical Likelihood Method in Survival Analysis: 79 (Chapman & Hall/CRC Biostatistics)

Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science)

Analysis of Failure and Survival Data (Chapman & Hall/CRC Texts in Statistical Science)

Recent Advances in Lifetime and Reliability Models

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R (Chapman & Hall/CRC Biostatistics Series)