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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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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