Help your students understand some of the most elusive fundamentals of epidemiology and biostatistics with this fully updated revision of the bestselling study guide to Epidemiology and Biostatistics. The Seventh Edition offers expanded chapters as well as coverage of a number of new topics that have become prevalent in the medical literature such as: receiver-operator curve analysis to improve sensitivity/specificity; the power of a statistical test; one-tailed P values; comparison-wise significance levels versus study-wise significance levels; confidence interval and its relationship to statistical significance; Meta-analysis with current methods for assessing heterogeneity and the potential for publication bias; the use of propensity scoring to reduce bias in non-experimental studies.
Help your students understand some of the most elusive fundamentals of epidemiology and biostatistics with this fully updated revision of the bestselling study guide to Epidemiology and Biostatistics. The Seventh Edition offers expanded chapters as well as coverage of a number of new topics that have become prevalent in the medical literature such as: receiver-operator curve analysis to improve sensitivity/specificity; the power of a statistical test; one-tailed P values; comparison-wise significance levels versus study-wise significance levels; confidence interval and its relationship to statistical significance; Meta-analysis with current methods for assessing heterogeneity and the potential for publication bias; the use of propensity scoring to reduce bias in non-experimental studies.
Professor, Department of Epidemiology and Public Health, University of Maryland, School of Medicine, Baltimore, Maryland Professor of Pediatrics and Epidemiology and Biostatistics, The George Washington University Schools of Medicine and Public Health, Washington D.C., Director, Biostatistics and Informatics Unit, Children's National Medical Center
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