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This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook "Epidemiology and Biostatistics, 2nd Edition". It is written in concise and organized fashion with many examples to illustrate the concepts deriving from a collection of written materials created to teach Epidemiology and Biostatistics to medical students. The major differences from related titles include a “story” based approach toward teaching the material, relative brevity while maintaining focus on key concepts, and taking the perspective of…mehr
This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook "Epidemiology and Biostatistics, 2nd Edition". It is written in concise and organized fashion with many examples to illustrate the concepts deriving from a collection of written materials created to teach Epidemiology and Biostatistics to medical students. The major differences from related titles include a “story” based approach toward teaching the material, relative brevity while maintaining focus on key concepts, and taking the perspective of first-time learners (avoiding and/or clearly defining jargon, using clear common-sense language). It features a variety of questions: long, short, and multiple choice questions. The workbook is made to provide students with the tools necessary to form their own informed conclusions from the clinical research literature.
Bryan Kestenbaum Professor University of Washington Department of Medicine / Division of Nephrology Kidney Research Institute Box 359606 325 9th Avenue Seattle, WA 98104
Inhaltsangabe
Measures of disease frequency.- Population, exposure, and outcome.- Case reports and case series.- Cross-sectional studies.- Cohort studies.- Case-control studies.- Randomized trials.- Misclassification.- Confounding and its control.- Effect modification.- Screening and diagnosis.- Summary measures in statistics.- Statistical inference.- Hypothesis tests in practice.- Linear regression.- Log-link and logistic regression.- Survival analysis.
Measures of disease frequency.- Population, exposure, and outcome.- Case reports and case series.- Cross-sectional studies.- Cohort studies.- Case-control studies.- Randomized trials.- Misclassification.- Confounding and its control.- Effect modification.- Screening and diagnosis.- Summary measures in statistics.- Statistical inference.- Hypothesis tests in practice.- Linear regression.- Log-link and logistic regression.- Survival analysis.
Measures of disease frequency.- Population, exposure, and outcome.- Case reports and case series.- Cross-sectional studies.- Cohort studies.- Case-control studies.- Randomized trials.- Misclassification.- Confounding and its control.- Effect modification.- Screening and diagnosis.- Summary measures in statistics.- Statistical inference.- Hypothesis tests in practice.- Linear regression.- Log-link and logistic regression.- Survival analysis.
Measures of disease frequency.- Population, exposure, and outcome.- Case reports and case series.- Cross-sectional studies.- Cohort studies.- Case-control studies.- Randomized trials.- Misclassification.- Confounding and its control.- Effect modification.- Screening and diagnosis.- Summary measures in statistics.- Statistical inference.- Hypothesis tests in practice.- Linear regression.- Log-link and logistic regression.- Survival analysis.
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