Applied Biostatistical Principles and Concepts: Clinicians' Guide to Data Analysis and Interpretation

The past three decades have seen advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research, with challenges in accurate model stipulation and application. Applied Biostatistical Principles and Concepts provides practical knowledge to understand health and disease processes at cellular, clinical, and population levels, suitable for clinicians and health or biological sciences students. It addresses big data type I error tolerance, probability value, effect size, confidence interval, effect measure modification, interaction, and confounders, yielding more valid inferences and reliable results.

Format: Paperback / softback
Length: 288 pages
Publication date: 31 March 2021
Publisher: Taylor & Francis Ltd

The past three decades have seen remarkable advancements in statistical modeling and evidence discovery across biomedical, clinical, and population-based research fields. These developments have brought forth exciting opportunities, but they have also presented significant challenges related to accurate model specification and the effective application of models in scientific evidence discovery. Applied Biostatistical Principles and Concepts aims to provide practical knowledge and skills to understand health and disease processes at cellular, clinical, and population levels. By employing biological and biochemical specimen/samples, researchers can gain insights into the underlying mechanisms of health and disease.

The concepts and techniques presented in this book are designed to assist researchers in designing and conducting studies, as well as translating data from bench to clinics. The ultimate goal is to improve the health of patients and populations by leveraging the power of statistical modeling.

This book is suitable for both clinicians and health or biological sciences students. It offers a concise yet comprehensive approach to statistical modeling of health research data. It addresses key issues such as big data type I error tolerance and probability value, effect size and confidence interval for precision, effect measure modification and interaction, as well as confounders. By addressing these topics, the book enables researchers to make more valid inferences and obtain results that are more reliable, valid, and accurate.

In conclusion, Applied Biostatistical Principles and Concepts is a valuable resource for researchers and practitioners seeking to advance their understanding of statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With its practical approach and comprehensive coverage, this book empowers researchers to design and conduct studies that yield meaningful insights into health and disease processes, ultimately improving patient outcomes.

Weight: 484g
Dimension: 157 x 231 x 31 (mm)
ISBN-13: 9780367560072