Rate this book
What to read after Regression for Health and Social Science?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Regression for Health and Social Science" by Daniel Zelterman! 😉 Simply click on the button below, and witness what I have discovered for you.
Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊
Regression for Health and Social Science
Applied Linear Models with R
Daniel Zelterman
This textbook for students in the health and social sciences covers the basics of linear model methods with a minimum of mathematics, assuming only a pre-calculus background. Numerous examples drawn from the news and current events with an emphasis on health issues, illustrate the concepts in an immediately accessible way. Methods covered include linear regression models, Poisson regression, logistic regression, proportional hazards regression, survival analysis, and nonparametric regression. The author emphasizes interpretation of computer output in terms of the motivating example. All of the R code is provided and carefully explained, allowing readers to quickly apply the methods to their own data. Plenty of exercises help students think about the issues involved in the analysis and its interpretation. Code and datasets are available for download from the book's website at www.cambridge.org/zelterman
Do you want to read this book? 😳
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Regression for Health and Social Science" by Daniel Zelterman? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.
