Focusing on healthcare research and public health practice, this guide details vital statistical methods for analyzing biomedical data. It emphasizes sound study design, data interpretation, and epidemiological principles, empowering health professionals to make informed, evidence-based clinical decisions.
Focusing on healthcare research and public health practice, this guide details vital statistical methods for analyzing biomedical data. It emphasizes sound study design, data interpretation, and epidemiological principles, empowering health professionals to make informed, evidence-based clinical decisions.
Yevhen Tarasov, MD, EuSpLM is an assistant professor at the Department of General and Clinical Epidemiology and Biosafety with course on Microbiology and Virology at Odesa National Medical University. Yevhen Tarasov received his MD in 2018 and got specialization in Medical Laboratory Science in 2019 with residency at The Filatov Institute of Eye Diseases and Tissue Therapy of the National Acadeny if Medical Science of Ukraine. He then joined the at the Department of General and Clinical Epidemiology and Biosafety with course on Microbiology and Virology at Odesa National Medical University, Odesa, Ukraine as an assistant professor. His research interests include epidemiology and diagnostics of autoimmune diseases and allergy. He is a group leader of work group on Ukrainian adaptation of the the International Consensus on Antinuclear Antibody (ANA) Patterns (ICAP).
Inhaltsangabe
Chapter 1 Introduction Biostatistics in Health Chapter 2 Quantifying the Extent of Disease Chapter 3 Summarizing Data Collected in the Sample Chapter 4 Basic Probability Chapter 5 Confidence Interval Estimates Chapter 6 Hypothesis Testing Procedures Chapter 7 Power and Sample Size Determination Chapter 8 Multivariable Methods Chapter 9 Nonparametric Tests Chapter 10 Survival Analysis and Data Visualization
Chapter 1 Introduction Biostatistics in Health Chapter 2 Quantifying the Extent of Disease Chapter 3 Summarizing Data Collected in the Sample Chapter 4 Basic Probability Chapter 5 Confidence Interval Estimates Chapter 6 Hypothesis Testing Procedures Chapter 7 Power and Sample Size Determination Chapter 8 Multivariable Methods Chapter 9 Nonparametric Tests Chapter 10 Survival Analysis and Data Visualization
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