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Multiple comparisons problem
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Statistical hypothesis testing
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Related lectures (31)
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Optimal Tests for Simple Hypotheses
Discusses optimal tests for simple hypotheses and the significance of standardized distance in hypothesis testing.
Likelihood Ratio Tests: Optimality and Applications
Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.
Linear Independence: Covariance and Statistical Dependence
Explores covariance, statistical dependence, education-fertility relationship, hypothesis testing, and comparison statistics for continuous outcomes.
Hypothesis Testing in Statistics
Explores hypothesis testing, significance levels, errors, GWAS, optimal testing, and point estimation in statistics.
Comparison Statistics: Hypothesis Testing and ANOVA
Explores comparison statistics, hypothesis testing, ANOVA, correlation, and linear regression.
Numpy: Broadcasting, Operations, Comparisons, and Constants
Covers broadcasting, operations, comparisons, and numpy constants like pi, e, and infinity.
Likelihood Ratio Test: Neyman-Pearson Lemma
Explores likelihood ratio tests and the Neyman-Pearson Lemma for statistical hypothesis testing.
Introduction to Comparison Statistics
Introduces comparison statistics, error rates, hypothesis testing, and real-life examples of treatment effectiveness and weightlifting analysis.
Model Selection Methods in Biostatistics
Explores model selection methods in biostatistics, emphasizing the importance of starting with a sensible model.
Sampling: conditional maximum likelihood estimation
Covers Conditional Maximum Likelihood estimation, contribution to likelihood, and MEV model application in choice-based samples.
Research by Design: Complex Design Sub-Program
Explores the importance of research by design in architectural projects and continuing education.
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