Introduction Biostatistics
Download Introduction Biostatistics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Introduction Biostatistics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Introduction to Data Analysis and Graphical Presentation in Biostatistics with R
Author: Thomas W. MacFarland
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-11-19
Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R. Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples, t-Test for matched pairs, ANOVA, correlation and linear regression, and advice for future work.
Biostatistics for Clinical and Public Health Research
Author: Melody S. Goodman
language: en
Publisher: Taylor & Francis
Release Date: 2025-08-19
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.
Introduction to Epidemiology
Author: Ray M. Merrill
language: en
Publisher: Jones & Bartlett Learning
Release Date: 2006
An Introduction to Epidemiology, Fourth Edition is intended for introductory courses in health-related programs at both the advanced undergraduate and graduate levels. It is also a valuable reference for epidemiologists working in the field, industrial hygienists, infectious disease nurses, and staff epidemiologists.