Description
Discover the essential resource for mastering statistical techniques in healthcare with the newly revised third edition of 'Statistics at Square Two.' This comprehensive guide, published by John Wiley & Sons, empowers readers with an easy-to-follow exploration of intermediate statistical methods critical in medical research. Designed for both practitioners and students, this book offers an accessible approach to understanding modern statistical applications used in scientific literature.
In this edition, you'll find in-depth discussions on advanced topics such as multiple linear regression and logistic regression, survival analysis, and Poisson regression, complete with real-world examples from medical literature. Two brand new chapters cover meta-analysis and time-series analysis, equipping readers with essential tools to interpret research findings accurately.
Each chapter includes practical exercises and corresponding answers to reinforce learning. Additionally, readers will benefit from sample code in R to facilitate hands-on analyses. Our book not only clarifies complex concepts but also highlights best practices for statistical reporting, making it an invaluable resource for anyone looking to engage critically with contemporary medical research.
Whether you're a statistics novice or looking to sharpen your skills, 'Statistics at Square Two' is your go-to guide for mastering the application of statistics in health sciences. Enhance your understanding and gain confidence in navigating through statistical data and findings with this essential text.
In this edition, you'll find in-depth discussions on advanced topics such as multiple linear regression and logistic regression, survival analysis, and Poisson regression, complete with real-world examples from medical literature. Two brand new chapters cover meta-analysis and time-series analysis, equipping readers with essential tools to interpret research findings accurately.
Each chapter includes practical exercises and corresponding answers to reinforce learning. Additionally, readers will benefit from sample code in R to facilitate hands-on analyses. Our book not only clarifies complex concepts but also highlights best practices for statistical reporting, making it an invaluable resource for anyone looking to engage critically with contemporary medical research.
Whether you're a statistics novice or looking to sharpen your skills, 'Statistics at Square Two' is your go-to guide for mastering the application of statistics in health sciences. Enhance your understanding and gain confidence in navigating through statistical data and findings with this essential text.