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Book synopsis

Biostatistics and Computer-Based Analysis of Health Data Using Stata is primarily intended for health researchers who have basic knowledge of statistical methodology and relies on the use of Stata to demonstrate a statistical approach to the management of data modeling. Many of the actions performed by statistical software come back to handling, manipulating, or even transforming digital data, which literally represent statistical data. It is therefore of primary importance to understand how statistical data are displayed and how they can be exploited by software such as Stata. Assuming basic statistical concepts, the book focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data, featuring a comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis. Divided into three sections, this book surveys all aspects of data processing and statistical analysis of cross-sectional and experimental medical data, including full coverage of regression models commonly found in medical statistics (linear and logistic regression, Cox regression). Provides detailed examples of the use of Stata for common biostatistical tasks in medical researchFeatures a work program structured around the four previous chapters, and a series of practical exercises with commented correctionsIncludes an appendix to help the reader familiarize with additional packages and commandsFocuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data

Book details

Book category Books in English Medicine Medicine: general issues Public health & preventive medicine

• Full title: Biostatistics and Computer-based Analysis of Health Data using Stata
• Author: Christophe Lalanne, Mounir Mesbah
• Language: English
• Binding: Hardback
• Number of pages: 134
• EAN: 9781785481420
• ISBN: 1785481428
• ID: 02957584
• Publisher: ISTE Press Ltd - Elsevier Inc
• Weight: 364 g
• Dimensions: 160 × 237 × 13 mm
• Date of publishing: 25. August 2016

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