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Lecture
Statistical Mediation and Moderation
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Related lectures (32)
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Understanding Statistics & Experimental Design
Explores unequal variances, replication, power, effect size, biases, and their impact on research outcomes.
T-tests and Empirical Tests
Explores t-tests, z-tests, and empirical tests for sample comparison and hypothesis testing.
Basics of linear regression model
Covers the basics of linear regression, OLS method, predicted values, residuals, matrix notation, goodness-of-fit, hypothesis testing, and confidence intervals.
Experimental Design in Biostatistics
Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.
GLM II
Explores GLM II, covering hypothesis testing, F-tests, multiple comparisons, and enriching the model to account for imaging artifacts.
Statistics & Experimental Design
Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.
Hypothesis Testing in Statistics
Explores hypothesis testing in statistics, focusing on decision-making based on sample data and controlling error probabilities.
Basics of Linear Regression
Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
Statistical Hypothesis Testing
Covers statistical hypothesis testing, confidence intervals, p-values, and significance levels in hypothesis testing.
Statistical Analysis: Hypothesis Testing and Distribution Models
Covers statistical analysis techniques, hypothesis testing, and distribution models using R software.
