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Introduction to Basic Statistics for Clinical Research

Learning the Language. Concept of SamplingVariable typesCategorical (qualitative; nominal)OrdinalNumerical (continuous; interval; ratio)Independent vs. Correlated DataParametric vs. Non-parametric. Learning the Language. Study DesignSampling StrategyAnalysis TypesDiscrete vs. Time-dependent

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Introduction to Basic Statistics for Clinical Research

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    1. Introduction to Basic Statistics for Clinical Research

    2. Learning the Language Concept of Sampling Variable types Categorical (qualitative; nominal) Ordinal Numerical (continuous; interval; ratio) Independent vs. Correlated Data Parametric vs. Non-parametric

    3. Learning the Language Study Design Sampling Strategy Analysis Types Discrete vs. Time-dependent (survival) Logistic vs Linear Regression Model Building Interactions

    4. Sample Size The number of subjects required in a study to achieve “statistical significance”, given a number of a priori assumptions.

    5. Power Considerations: The assumptions Control value or rate Effect size dependent on parameter of interest best to have pilot data Significance level (?) 1-tailed or 2-tailed testing Power (1-?) Confounders Non-compliance Cross-overs Drop Ins Drop Outs Lost to follow up

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