Survival Analysis: A Self-Learning Text

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Survival Analysis: A Self-Learning Text

Survival Analysis: A Self-Learning Text

David G. Kleinbaum (auth.)

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როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

წელი:

1996

გამომცემლობა:

Springer New York

ენა:

english

გვერდები:

332

ISBN 10:

1475725574

ISBN 13:

9781475725575

სერია:

Statistics in the Health Sciences

ფაილი:

PDF, 13.57 MB

IPFS:

,

english, 1996

ონლაინ წაკითხვა

ჩატვირთვა (pdf, 13.57 MB)

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

David G. Kleinbaum, Mitchel Klein — Survival Analysis: A Self-Learning Text

StataCorp LP — Stata Survival Analysis and Epidemiological Tables-Release 11

Göran Broström — Event History Analysis with R

David G. Kleinbaum & Mitchel Klein — Survival Analysis

Shenyang Guo — Survival Analysis (Pocket Guides to Social Work Research Methods)

David Collett — Modelling Survival Data in Medical Research, Second Edition

Mara Tableman, Jong Sung Kim — Survival Analysis Using S: Analysis of Time-to-Event Data

Trevor F. Cox — Medical Statistics for Cancer Studies (Chapman & Hall/CRC Biostatistics Series)

David G. Kleinbaum, Mitchel Klein — Survival Analysis A Self Learning Text

D. Collett (auth.) — Modelling Survival Data in Medical Research

N. Balakrishnan, Calyampudi Radhakrishna Rao — Advances in Survival Analysis

David Machin, Yin Bun Cheung, Mahesh Parmar — Survival Analysis: A Practical Approach, Second Edition

Xian Liu(auth.) — Survival Analysis: Models and Applications

David W. Hosmer Jr., Stanley Lemeshow — Applied Survival Analysis: Regression Modeling of Time to Event Data

Elisa T. Lee, John Wang — Statistical Methods for Survival Data Analysis, Third Edition

David W. Hosmer Jr., Stanley Lemeshow, Susanne May — Applied survival analysis : regression modeling of time-to-event data

David Collett — Modelling Survival Data in Medical Research, 4th Edition

Göran Broström — Event History Analysis with R (Chapman & Hall/CRC: The R Series)

Cox, D. R — Analysis of Survival Data

SMITH, PETER J — ANALYSIS OF FAILURE AND SURVIVAL DATA

Göran Broström — Event History Analysis with R

David Collett; Alan Kimber — Modelling Survival Data in Medical Research

David G. Kleinbaum, Mitchel Klein (auth.) — Survival Analysis: A Self-Learning Text, Third Edition

David G. Kleinbaum; Mitchel Klein — Survival Analysis: A Self-Learning Text, Third Edition

Jan Beyersmann & Arthur Allignol & Martin Schumacher — Competing Risks and Multistate Models with R

Alan B. Cantor — SAS Survival Analysis Techniques for Medical Research.

Mario Cleves, William Gould, Roberto Gutierrez, Yulia Marchenko — An Introduction to Survival Analysis Using Stata

Patrick Royston and Paul C. Lambert — Flexible Parametric Survival Analysis Using Stata Beyond the Cox Model

Elisa T. Lee, John Wenyu Wang, John Wang — Statistical Methods for Survival Data Analysis

Georg Zimmermann — From Basic Survival Analytic Theory to a Non-Standard Application

John P. Klein, Melvin L. Moeschberger — Survival Analysis: Techniques for censored and truncated data

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