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Description
Books covering about the importance of biostatistics in epidemiological studies. This book is authored in a detailed and easy to understand in a manner incorporating the updated information. Here more importance is given for analytical methods for both general and specific epidemiological study design, including cohort study, case-control study and interventional study. Here author has given more importance for designing mathematical models with their applications to analyze the data with relevant examples and also has illustrated the techniques used to analyze the data with suitable example pertaining to a particular type epidemiological disease. This book also explains about appropriate sample size for a particular type of study.
Contents:
1. Introduction to Health and Epidemiology
2. Probability and Epidemiology Study
3. Mathematical Measures and Epidemiological Studies
4. Study Design
5. Tests of Association between Exposure and Outcome
6. Statistical Hypothesis
7. Regression Analysis
8. Sample Size Technique
9. Logistic Regression Analysis
10. Graphs
11. Clinical Trial
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Books covering about the importance of biostatistics in epidemiological studies. This book is authored in a detailed and easy to understand in a manner incorporating the updated information. Here more importance is given for analytical methods for both general and specific epidemiological study design, including cohort study, case-control study and interventional study. Here author has given more importance for designing mathematical models with their applications to analyze the data with relevant examples and also has illustrated the techniques used to analyze the data with suitable example pertaining to a particular type epidemiological disease. This book also explains about appropriate sample size for a particular type of study.
Contents:
1. Introduction to Health and Epidemiology
2. Probability and Epidemiology Study
3. Mathematical Measures and Epidemiological Studies
4. Study Design
5. Tests of Association between Exposure and Outcome
6. Statistical Hypothesis
7. Regression Analysis
8. Sample Size Technique
9. Logistic Regression Analysis
10. Graphs
11. Clinical Trial
Reviews