05.06APage 1Linear Regression
05.06A · Cours 6 — Régression linéaire
Course 6 — Linear regression
Course and questions · 64 pages
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05.06APage 2Review of PrerequisitesStatistical Tests
05.06APage 4Review of PrerequisitesP-value
05.06APage 5Review of PrerequisitesConfidence Interval
05.06APage 6Lecture Objectives
05.06APage 7CorrelationHeight-Weight Example
05.06APage 8CorrelationHeight-Weight ExampleScatterplot
05.06APage 9CorrelationDefinition and Pearson Coefficient
05.06APage 20CorrelationInterpreting r Values
05.06APage 22CorrelationNon-linear Association Warning
05.06APage 23CorrelationHeight-Weight Correlation Result
05.06APage 25CorrelationPearson vs Spearman
05.06APage 26Modeling and RegressionIntroduction to Modeling
05.06APage 31Simple Linear RegressionLeast Squares Principle
05.06APage 35Simple Linear RegressionNo Association Case
05.06APage 36Simple Linear RegressionInference on CoefficientsStandard Errors and Confidence Intervals
05.06APage 39Simple Linear RegressionUnits of Coefficients
05.06APage 40Simple Linear RegressionCausality vs Association
05.06APage 43Clinical Example: PACE StudyStudy Introduction
05.06APage 44Clinical Example: PACE StudyBackground and Methods
05.06APage 45Clinical Example: PACE StudyRegression Slopes and R²
05.06APage 46Simple Regression SummaryModel Structure
05.06APage 47Simple Regression SummarySlope and R² Interpretation
05.06APage 48Simple Regression SummaryValidity Conditions
05.06APage 50Correlation vs RegressionVisual Comparison
05.06APage 51Correlation vs RegressionKey Differences
05.06APage 52Qualitative PredictorsBinary Coding (Gender Example)
05.06APage 56Multiple Linear RegressionWeight Regression Output
05.06APage 58Multiple Linear RegressionModel Comparison and R²
05.06APage 59Clinical Example: LV Mass StudyStudy Introduction
05.06APage 61Clinical Example: LV Mass StudyReporting Critique
05.06APage 62Key MessagesSimple Linear Model
05.06APage 63Key MessagesMultiple Models and Correlation
05.06APage 64Next Session Preview
