Все публикации

0:04:09

9.12 Poisson Regression: Why are model coefficients the log rate ratio?

0:04:33

9.11 Poisson Regression: Model Assumptions

0:03:49

9.10 Poisson Regression in R: Fitting a Model To Rate Data (with offset) in R

0:08:18

9.9 Poisson Regression: The Model For Rate Data (what is an offset?)

0:05:33

9.8 Poisson Regression in R: Fitting a Model To Count Data in R

0:09:20

9.7 Poisson Regression: The Model For Count Data

0:05:12

9.6 Intro To Data Used In Poisson Regression R Videos

0:10:24

9.5 Poisson Regression: Counts vs Rates, Individual vs Aggregated Data

0:03:58

9.4 Why We Work On Log-Scale?

0:14:04

9.3 Poisson Regression Connection To Poisson Distribution and Odds Ratios

0:20:50

Logistic Regression Example

0:05:34

9.2 Comparing Logistic, Poisson, and Survival Analysis

0:04:53

9.1 Week 9 Intro and Recap

0:09:23

8.8 Extensions of The Logistic Regression Model: Multinomial, Ordinal, and Conditional Logistic

0:06:10

8.6 Logistic Regression: R-Square Type Measures

0:04:57

8.7 Logistic Regression: R Square Type Measures in R

0:08:03

8.5 Examining Model Fit

0:09:40

8.3 Effect Modification: Stratifying vs Modelling With Interaction Term

0:00:38

8.4 Effect Modification: Stratifying vs. Modelling It With Interaction Term in R

0:26:20

8.2 Building Model To Estimate Effect Size in R

0:02:44

8.1 Week 8 Intro And Recap

0:14:16

3.2 Confounding (Confounder) Explained

0:09:22

7.6 Logistic Regression: Checking Linearity

0:08:54

7.7 Logistic Regression in R: Checking Linearity In R