Statistics at Square Two, 3rd Edition (EPUB)

Advanced Statistical Techniques in Medical Research: A Comprehensive Understanding

Introduction

The latest edition of Statistics at Square Two: Understanding Modern Statistical Applications in Medicine presents an in-depth exploration of advanced statistical techniques employed in medical research. Authored by renowned statisticians, this guide provides an accessible understanding of these complex methods for both readers and users of scientific medical literature.

Critical Engagement with Modern Research

Armed with the knowledge imparted by this volume, readers can critically engage with contemporary research findings. The authors elucidate the proper interpretation of statistical results, empowering readers to navigate the complexities of medical literature.

Expanded Coverage

The third edition expands upon the previous versions with the inclusion of two new chapters:

• Meta-analysis: A comprehensive discussion of methods for synthesizing evidence from multiple studies.
• Time-series analysis: Techniques for analyzing longitudinal data, such as monitoring trends and forecasting future outcomes.

Contemporary Research Reporting

The book also introduces readers to the various checklists developed recently to enhance the reporting of contemporary research. These guidelines ensure the accurate and transparent communication of statistical findings.

Updated Examples and Exercises

The examples presented throughout the book have been refreshed, reflecting current practices in medical research. Additionally, each chapter includes practice exercises with solutions, allowing readers to test their comprehension.

R Code and Analysis Samples

For those seeking to delve deeper into the statistical analyses, sample code written in the R programming language is provided for various analyses.

Key Features:

• Comprehensive overview of data and models, encompassing data types, statistical models, and computational methods.
• Detailed examination of multiple linear regression, addressing computer output interpretation, influential point diagnostics, and applications.
• Practical insights into multiple logistic regression, survival analysis, Poisson regression, and random effects models, including their uses, examples from medical literature, and interpretation strategies.

Target Audience

Statistics at Square Two: Understanding Modern Statistical Applications in Medicine is an invaluable resource for:

• Researchers and practitioners in medical fields seeking to enhance their understanding of statistical methods.
• Postgraduate students pursuing degrees in statistics or medicine, desiring a solid foundation in advanced statistical techniques.
• Anyone eager to critically assess the statistics presented in contemporary medical research.