Fundamentals of Biostatistics8th EditionBernard Rosner Publisher: Cengage LearningISBN: 9781305268920
Fundamentals of Biostatistics
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Chapter 2 - Descriptive StatisticsChapter 2.6 - The Coefficient Of VariationChapter 2.8 - Graphic MethodsChapter 3 - ProbabilityChapter 3.6 - Conditional ProbabilityChapter 3.7 - Bayes’ Rule And Screening TestsChapter 3.10 - Prevalence And IncidenceChapter 4 - Discrete Probability DistributionsChapter 4.6 - The Variance Of A Discrete Random VariableChapter 4.7 - The Cumulative-distribution Function Of A Discrete Random Variable
Chapter 4.9 - The Binomial DistributionChapter 4.13 - Expected Value And Variance Of The Poisson DistributionChapter 5 - Continuous Probability DistributionsChapter 5.4 - Properties Of The Standard Normal DistributionChapter 5.5 - Conversion From An N ( Μ,σ2) Distribution To An N (0,1) DistributionChapter 5.8 - Normal Approximation To The Poisson DistributionChapter 6 - EstimationChapter 6.5 - Estimation Of The Mean Of A DistributionChapter 7 - Hypothesis Testing: One-sample InferenceChapter 7.3 - One-sample Test For The Mean Of A Normal Distribution: One-sided AlternativesChapter 7.7 - Sample-size DeterminationChapter 7.9 - One-sample Inference For The Binomial DistributionChapter 8 - Hypothesis Testing: Two-sample InferenceChapter 9 - Nonparametric MethodsChapter 10 - Hypothesis Testing: Categorical DataChapter 10.2 - Two-sample Test For Binomial ProportionsChapter 11 - Regression And Correlation MethodsChapter 11.12 - Rank CorrelationChapter 12 - Multisample InferenceChapter 13 - Design And Analysis Techniques For Epidemiologic StudiesChapter 14 - Hypothesis Testing: Person-time Data
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