An Introduction to Survival Analysis Using Stata, Revised Edition
By Mario Alberto Cleves, Mario Cleves, William Gould and Roberto Gutierrez
"An Introduction to Survival Analysis Using Stata, Revised Edition" is published by Stata Press in 2004 - College Station, Tex, the book is classified in Business & Economics genre, it has 308 pages and the language of the book is English.
“An Introduction to Survival Analysis Using Stata, Revised Edition” Metadata:
- Title: ➤ An Introduction to Survival Analysis Using Stata, Revised Edition
- Authors: Mario Alberto ClevesMario ClevesWilliam GouldRoberto Gutierrez
- Language: English
- Number of Pages: 308
- Is Family Friendly: Yes - No Mature Content
- Publisher: Stata Press
- Publish Date: 2004
- Publish Location: College Station, Tex
- Genres: Business & Economics
“An Introduction to Survival Analysis Using Stata, Revised Edition” Subjects and Themes:
- Subjects: ➤ Econometric models - Stata - Statistics - Survival analysis (Biometry) - Probability & statistics - Business/Economics - Business & Economics - Mathematics - Probability & Statistics - General - Mathematics / Statistics - Overlevingsanalyse. - gtt - Probabilities - Statistics--econometric models - Survival analysis - Qa276.2 .c5 2004 - 005.369 cle 2004
Edition Specifications:
- Pagination: xx, 308 p. :
Edition Identifiers:
- Google Books ID: nks_AQAAIAAJ
- The Open Library ID: OL15586931M - OL11636459W
- Online Computer Library Center (OCLC) ID: 53333550
- ISBN-13: 9781881228844
- ISBN-10: 1881228843
- All ISBNs: 1881228843 - 9781881228844
AI-generated Review of “An Introduction to Survival Analysis Using Stata, Revised Edition”:
Snippets and Summary:
The book covers basic theoretical concepts, censoring and truncation, and the preparation of survival data for analysis using Stata's st analysis commands.
"An Introduction to Survival Analysis Using Stata, Revised Edition" Description:
Google Books:
Developing the statistical concepts unique to survival data, An Introduction to Survival Analysis Using Stata, Revised Edition includes statistical theory, step-by-step procedures for analyzing survival data, a detailed usage guide for Stata's most widely used st commands, and pointers for using Stata to analyze survival data and present the results. The book covers basic theoretical concepts, censoring and truncation, and the preparation of survival data for analysis using Stata's st analysis commands. It also discusses Cox regression and includes various examples of fitting a Cox model, obtaining predictions, interpreting results, building models, and modeling diagnostics. The final chapters fit parametric models using Stata's streg command.
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