Applied Biostatistical Principles and Concepts

Clinicians' Guide to Data Analysis and Interpretation

Nonfiction, Science & Nature, Mathematics, Statistics, Health & Well Being, Medical, Reference, Public Health
Cover of the book Applied Biostatistical Principles and Concepts by Laurens Holmes, Jr., Taylor and Francis
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Author: Laurens Holmes, Jr. ISBN: 9781315352213
Publisher: Taylor and Francis Publication: November 22, 2017
Imprint: Routledge Language: English
Author: Laurens Holmes, Jr.
ISBN: 9781315352213
Publisher: Taylor and Francis
Publication: November 22, 2017
Imprint: Routledge
Language: English

The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery

Applied Biostatistical Principles and Concepts provides practical knowledge using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations.

This book is suitable for both clinicians and health or biological sciences students. It presents the reality in statistical modelling of health research data in a concise manner that will address the issue of "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, thus allowing for more valid inferences and yielding results that are more reliable, valid and accurate.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery

Applied Biostatistical Principles and Concepts provides practical knowledge using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations.

This book is suitable for both clinicians and health or biological sciences students. It presents the reality in statistical modelling of health research data in a concise manner that will address the issue of "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, thus allowing for more valid inferences and yielding results that are more reliable, valid and accurate.

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