Full Description
The new edition of Biostatistics for Clinical and Public Health Research is the only 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 Statisticss. 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 and Nonparametric Hypothesis Testing. 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.
