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eBook - ePub
Biostatistics for Clinical and Public Health Research
Melody S. Goodman
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- 558 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Biostatistics for Clinical and Public Health Research
Melody S. Goodman
Book details
Table of contents
Citations
About This Book
Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results.
Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician.
This book will be an invaluable tool for students and clinical and public health practitioners.
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Yes, you can access Biostatistics for Clinical and Public Health Research by Melody S. Goodman in PDF and/or ePUB format, as well as other popular books in Medicine & Public Health, Administration & Care. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title Page
- Title Page
- Copyright Page
- Dedication
- Contents
- Acknowledgments
- Author
- Introduction
- Chapter 1 Descriptive statistics
- Lab A: Introduction to SASĀ®
- Lab A: Introduction to StataĀ®
- Chapter 2 Probability
- Chapter 3 Diagnostic testing/screening
- Chapter 4 Discrete probability distributions
- Chapter 5 Continuous probability distributions
- Lab B: Probability distributions
- Chapter 6 Estimation
- Chapter 7 One-sample hypothesis testing
- Lab C: One-sample hypothesis testing, power, and sample size
- Chapter 8 Two-Sample Hypothesis Testing
- Chapter 9 Nonparametric hypothesis testing
- Lab D: Two-sample (parametric and nonparametric) hypothesis testing
- Chapter 10 Hypothesis testing with categorical data
- Chapter 11 Analysis of variance (ANOVA)
- Chapter 12 Correlation
- Chapter 13 Linear regression
- Chapter 14 Logistic regression
- Chapter 15 Survival analysis
- Lab E: Data analysis project
- AppendixStatistical tables
- Index