Stata Survival Analysis and Epidemiological Tables PDF Download
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Author: Stata Corporation
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 372
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Book Description
Author: Stata Corporation
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 372
Get Book Here
Book Description
Author: Stata Corporation
Publisher:
ISBN:
Category :
Languages : en
Pages : 361
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Book Description
Author:
Publisher: Stata Press
ISBN: 9781597180924
Category : Epidemiology
Languages : en
Pages : 554
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Book Description
Author:
Publisher: Statacorp Lp
ISBN: 9781597180283
Category : Computers
Languages : en
Pages : 489
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Book Description
Author: StataCorp LP.
Publisher: Stata Corporation
ISBN: 9781597180047
Category : Computers
Languages : en
Pages : 397
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 489
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Book Description
Author: Mario Cleves
Publisher: Stata Press
ISBN: 1597180416
Category : Computers
Languages : en
Pages : 398
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Book Description
"[This book] provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves not only as a tutorial for those wishing to learn survival analysis but as a ... reference for experienced researchers ..."--Book jacket.
Author: Christophe Lalanne
Publisher: Elsevier
ISBN: 0081010842
Category : Computers
Languages : en
Pages : 136
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Book Description
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. Provides detailed examples of the use of Stata for common biostatistical tasks in medical research Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections Includes an appendix to help the reader familiarize themselves with additional packages and commands Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data
Author: Patrick Royston
Publisher: Stata Press
ISBN: 9781597180795
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.
Author: Martin Bland
Publisher: Oxford University Press
ISBN: 0192518399
Category : Medical
Languages : en
Pages :
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Book Description
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
