| Description |
1 online resource (xii, 121 pages) |
| Series |
Biostatistics and health science set |
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Biostatistics and health science set (Series)
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| Contents |
Front Cover ; Biostatistics and Computer-based Analysis of Health Data using Stata ; Copyright ; Contents; Introduction; Chapter 1 Language Elements; 1.1. Data representation in Stata; 1.2. Descriptive univariate statistics and estimation ; 1.3. Bivariate descriptive statistics ; 1.4. Key points; 1.5. Further reading; 1.6. Applications; Chapter 2 Measures of Association, Comparisons of Means and Proportions for Two Samples or More; 2.1. Comparisons of two group means ; 2.2. Comparaisons of two proportions ; 2.3. Risk measures and OR; 2.4. Analysis of variance ; 2.5. Key points |
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2.6. Further reading2.7. Applications; Chapter 3 Linear Regression; 3.1. Measures of association between two numeric variables ; 3.2. Linear regression ; 3.3. Multiple linear regression; 3.4. Key points; 3.5. Further reading; 3.6. Applications; Chapter 4 Logistic Regression and Epidemiological Analyses; 4.1. Measures of association in epidemiology ; 4.2. Logistic regression ; 4.3. Key points; 4.4. Further reading; 4.5. Applications; Chapter 5 Survival Data Analysis; 5.1. Data representation and descriptive statistics ; 5.2. Descriptive statistics |
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5.3. Survival function and Kaplan-Meier curve 5.4. Cox regression; 5.5. Key points; 5.6. Further reading; 5.7. Applications; Bibliography; Index; Back Cover |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| SUBJECT |
Stata. http://id.loc.gov/authorities/names/n88156843
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|
Stata fast |
| Subject |
Biometry -- Computer programs.
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Medical statistics -- Computer programs.
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Biometry.
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Biometry
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biometrics.
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NATURE -- Reference.
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SCIENCE -- Life Sciences -- Biology.
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SCIENCE -- Life Sciences -- General.
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Medical statistics -- Computer programs
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Biometry -- Computer programs
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| Form |
Electronic book
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| ISBN |
9780081010846 |
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0081010842 |
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