Full Description
The new edition of Biostatistics for Clinical and Public Health Research is an introductory workbook to provide not only a concise overview of key statistical concepts but also step-by-step guidance on how to apply these through a range of software packages, including R, SAS, and Stata.
Providing a comprehensive survey of essential topics - including probability, diagnostic testing, probability distributions, estimation, hypothesis testing, correlation, regression, and survival analysis - each chapter features a detailed summary of the topic at hand, followed by examples to show readers how to conduct analysis and interpret the results. Also including exercises and solutions, case studies, take-away points, and data sets (Excel, SAS, and Stata formats), the new edition now includes a chapter on data literacy and data ethics, as well as examples drawn from the COVID-19 pandemic.
Ideally suited to accompany either a course or as support for independent study, this book will be an invaluable tool for both students of biostatistics and clinical or public health practitioners.
Contents
Introduction. 1: Descriptive Statistics. Lab A1: Introduction to R/RStudio. Lab A2: Introduction to SAS. Lab A3: Introduction to Stata. 2: Probability. 3: Diagnostic Testing. 4: Discrete Probability Distributions. 5: Continuous Probability Distributions. Lab B: Probability Distributions. 6: Estimation. 7: One-Sample Hypothesis Testing. Lab C: One-Sample Hypothesis Testing Including Power and Sample Size. 8: Two-Sample Hypothesis Testing. 9: Nonparametric Hypothesis Testing. Lab D: Two-Sample Hypothesis Testing and Nonparametric Methods. 10: Hypothesis Testing for Categorical Data. 11: One-Way Analysis of Variance (ANOVA). 12: Correlation. 13: Linear Regression. 14: Logistic Regression. 15: Survival Analysis. Lab E: Data Analysis Project. 16: The Importance of Data Literacy and Data Ethics.
