This book provides practical knowledge to biomedical researchers using biological and biochemical specimen 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.
This book provides practical knowledge to biomedical researchers using biological and biochemical specimen 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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Laurens Holmes Jr. was trained in internal medicine, specializing in immunology and infectious diseases prior to his expertise in epidemiology (cancer)-with- biostatistics (survival analysis). Over the past two decades, Dr. Holmes had been working in cancer epidemiology, control & prevention. His involvement in biostatistical modeling of health research data includes signal amplification and stratification in risk modelling, evidence discovery through effect size and confidence interval (not p value) and evidence-based clinical and translational research through Quantitative Evidence Synthesis (QES).
Inhaltsangabe
Part I. Design Process Chapter One Basics of Biomedical and Clinical Research Chapter Two Research Design: Experimental & Non-experimental Design Chapter Three Population, Sample, ,Biostatistical Reasoning & Probability Part II. Biostatistical Modeling Chapter Four Statistical Consideration in Clinical Research Chapter Five Sample Size and Power Estimations Chapter Six Single Sample Statistical Inference Chapter Seven Two Independent Samples Statistical Inference Chapter Eight Statistical Inference in Three or More Samples Chapter Nine Statistical Inference Involving Relationships Chapter Ten Special Topics in Modern Evidence Discovery
Part I. Design Process Chapter One Basics of Biomedical and Clinical Research Chapter Two Research Design: Experimental & Non-experimental Design Chapter Three Population, Sample, ,Biostatistical Reasoning & Probability Part II. Biostatistical Modeling Chapter Four Statistical Consideration in Clinical Research Chapter Five Sample Size and Power Estimations Chapter Six Single Sample Statistical Inference Chapter Seven Two Independent Samples Statistical Inference Chapter Eight Statistical Inference in Three or More Samples Chapter Nine Statistical Inference Involving Relationships Chapter Ten Special Topics in Modern Evidence Discovery
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