clinicians' guide to data analysis and interpretation /
First Statement of Responsibility
Laurens Holmes Jr.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY :
Name of Publisher, Distributor, etc.
Routledge,
Date of Publication, Distribution, etc.
2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xxxiv, 288 pages)
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
Basics of biomedical and clinical research -- Research design : experimental & non-experimental design -- Population, sample, biostatistical reasoning & probability -- Statistical consideration in clinical research -- Sample size and power estimations -- Single sample statistical inference -- Independent samples statistical inference -- Statistical inference in three or more samples -- Statistical inference involving relationships -- Special topics in modern evidence discovery.
0
SUMMARY OR ABSTRACT
Text of Note
"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 discoveryApplied 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."--Provided by publisher.