14:471.3 Intro: Bias in Effect Size and How We Can Address It
A 15-minute video from MarinStatsLectures-R Programming & Statistics: “1.3 Intro: Bias in Effect Size and How We Can Address It”.
MarinStatsLectures-R Programming & Statistics
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8:571.6 Linear Regression in R: Fitting a Model and Discussing Assumptions
A 9-minute video from MarinStatsLectures-R Programming & Statistics: “1.6 Linear Regression in R: Fitting a Model and Discussing Assumptions”.
11:271.7 Linear Regression in R: Addressing Violations of Assumptions in R
A 11-minute video from MarinStatsLectures-R Programming & Statistics: “1.7 Linear Regression in R: Addressing Violations of Assumptions in R”.
8:302.10 Confounding: A Quick Introduction
A 8-minute video from MarinStatsLectures-R Programming & Statistics: “2.10 Confounding: A Quick Introduction”.
10:512.2 Multiple Linear Regression: Two X Variables and What The Data We Want To Model Looks Like
A 11-minute video from MarinStatsLectures-R Programming & Statistics: “2.2 Multiple Linear Regression: Two X Variables and What The Data We Want To Model Looks Like”.
9:492.3 Multiple Linear Regression: Working With Model Equation for 2 Lines
A 10-minute video from MarinStatsLectures-R Programming & Statistics: “2.3 Multiple Linear Regression: Working With Model Equation for 2 Lines”.
7:552.4 Linear Regression: Building Connections With Intro Stats Concepts
A 8-minute video from MarinStatsLectures-R Programming & Statistics: “2.4 Linear Regression: Building Connections With Intro Stats Concepts”.
13:112.5 Multiple Linear Regression in R: Two X Variables (Visualizing The Data in R)
A 13-minute video from MarinStatsLectures-R Programming & Statistics: “2.5 Multiple Linear Regression in R: Two X Variables (Visualizing The Data in R)”.
13:002.9 Building Connections Between The 2-Sample t-test and Linear Regression
A 13-minute video from MarinStatsLectures-R Programming & Statistics: “2.9 Building Connections Between The 2-Sample t-test and Linear Regression”.
14:163.2 Confounding (Confounder) Explained
A 14-minute video from MarinStatsLectures-R Programming & Statistics: “3.2 Confounding (Confounder) Explained”.
11:253.4 Mediation (Mediator) Explained
A 11-minute video from MarinStatsLectures-R Programming & Statistics: “3.4 Mediation (Mediator) Explained”.
15:273.5 Collinearity (and Multicollinearity) Explained
A 15-minute video from MarinStatsLectures-R Programming & Statistics: “3.5 Collinearity (and Multicollinearity) Explained”.
6:493.6 Collinearity in R: Checking For Collinearity In R
A 7-minute video from MarinStatsLectures-R Programming & Statistics: “3.6 Collinearity in R: Checking For Collinearity In R”.
6:593.7 Effect Modification (Interaction) Explained
A 7-minute video from MarinStatsLectures-R Programming & Statistics: “3.7 Effect Modification (Interaction) Explained”.
5:123.8 Independent Predictors (Risk Factors) Explained
A 5-minute video from MarinStatsLectures-R Programming & Statistics: “3.8 Independent Predictors (Risk Factors) Explained”.
7:084.2 Model Building and Variable Selection: General Comments
A 7-minute video from MarinStatsLectures-R Programming & Statistics: “4.2 Model Building and Variable Selection: General Comments”.
16:204.3 Model Building and Variable Selection: Effect Size Models
A 16-minute video from MarinStatsLectures-R Programming & Statistics: “4.3 Model Building and Variable Selection: Effect Size Models”.
18:394.4 Model Building and Variable Selection: Example Effect Size Model in R
A 19-minute video from MarinStatsLectures-R Programming & Statistics: “4.4 Model Building and Variable Selection: Example Effect Size Model in R”.
11:584.5 Model Building and Variable Selection: Predictive Models
A 12-minute video from MarinStatsLectures-R Programming & Statistics: “4.5 Model Building and Variable Selection: Predictive Models”.
11:054.6 Model Building and Variable Selection: Validating Predictive Models
A 11-minute video from MarinStatsLectures-R Programming & Statistics: “4.6 Model Building and Variable Selection: Validating Predictive Models”.
15:595.2 Logistic Regression: Connecting To Binomial Distribution and Odds Ratios (OR)
A 16-minute video from MarinStatsLectures-R Programming & Statistics: “5.2 Logistic Regression: Connecting To Binomial Distribution and Odds Ratios (OR)”.
10:505.3 Logistic Regression: What Is It? (Logistic Regression Explained Conceptually)
A 11-minute video from MarinStatsLectures-R Programming & Statistics: “5.3 Logistic Regression: What Is It? (Logistic Regression Explained Conceptually)”.
17:525.4 Logistic Regression in R: Understanding The Model Using Data in R
A 18-minute video from MarinStatsLectures-R Programming & Statistics: “5.4 Logistic Regression in R: Understanding The Model Using Data in R”.
13:485.5 Logistic Regression: The Model Equation
A 14-minute video from MarinStatsLectures-R Programming & Statistics: “5.5 Logistic Regression: The Model Equation”.
11:095.7 Logistic Regression: Interpreting Model Coefficients
A 11-minute video from MarinStatsLectures-R Programming & Statistics: “5.7 Logistic Regression: Interpreting Model Coefficients”.
10:575.8 Logistic Regression: Why Do The Model Coefficients Give Us Odds Ratios (OR)?
A 11-minute video from MarinStatsLectures-R Programming & Statistics: “5.8 Logistic Regression: Why Do The Model Coefficients Give Us Odds Ratios (OR)?”.
5:375.9 Why We Work On Log Scale With Odds Ratios
A 6-minute video from MarinStatsLectures-R Programming & Statistics: “5.9 Why We Work On Log Scale With Odds Ratios”.
6:236.2 Logistic Regression Models in R
A 6-minute video from MarinStatsLectures-R Programming & Statistics: “6.2 Logistic Regression Models in R”.
21:416.3 Logistic Regression: Using Model Equation To Answer Questions
A 22-minute video from MarinStatsLectures-R Programming & Statistics: “6.3 Logistic Regression: Using Model Equation To Answer Questions”.
12:596.4 Logistic Regression in R: Using Model To Answer Questions With R
A 13-minute video from MarinStatsLectures-R Programming & Statistics: “6.4 Logistic Regression in R: Using Model To Answer Questions With R”.
5:026.7 Logistic Regression: Checking Confounding in the LBW Data
A 5-minute video from MarinStatsLectures-R Programming & Statistics: “6.7 Logistic Regression: Checking Confounding in the LBW Data”.
7:586.8 Logistic Regression in R: Checking Confounding in the LBW Data in R
A 8-minute video from MarinStatsLectures-R Programming & Statistics: “6.8 Logistic Regression in R: Checking Confounding in the LBW Data in R”.
5:196.9 Logistic Regression: Checking Mediation In The LBW Data
A 5-minute video from MarinStatsLectures-R Programming & Statistics: “6.9 Logistic Regression: Checking Mediation In The LBW Data”.
8:517.2 Likelihood Ratio Test in R (for LBW Data)
A 9-minute video from MarinStatsLectures-R Programming & Statistics: “7.2 Likelihood Ratio Test in R (for LBW Data)”.
17:157.3 Effect Modification: Calculating Odds Ratios From Model
A 17-minute video from MarinStatsLectures-R Programming & Statistics: “7.3 Effect Modification: Calculating Odds Ratios From Model”.
9:587.4 Effect Modification in R: Calculating Odds Ratios and Comparing With Stratification In R
A 10-minute video from MarinStatsLectures-R Programming & Statistics: “7.4 Effect Modification in R: Calculating Odds Ratios and Comparing With Stratification In R”.