Complicated relationships among 3 variables

Update: 2024-08-08

Description

In this episode, we explore the intricate relationships among three variables, delving into concepts like mediation, moderation, and confounding.

Comments

In Channel

Dr. Philip Kreniske: ART use among adolescent in Africa

2024-12-1216:57

Dr. Justin Knox: Academia and research interests

2024-11-2818:20

Dr. Justin Knox: Smartphones and apps in research

2024-11-1418:47

What is wrong with election polls and why?

2024-10-3121:31

How does publication bias effect modern research?

2024-10-1713:54

Is communication technology helpful?

2024-10-0326:03

What are p-values for?

2024-09-1914:53

Absence of evidence is not evidence of absence

2024-09-0512:32

Complicated relationships among 3 variables

2024-08-0813:42

What are Target Trial Emulation?

2024-07-2509:14

What is p-hacking and is it bad?

2024-07-1115:04

Are pie charts relevant?

2024-06-2708:54

Novel advances in clinical trials: ASCP keynote lecture

2024-06-1319:50

What AI tools have we used?

2024-05-3017:30

Do we all read papers the same way?

2024-05-1610:27

Has data quality improved over time?

2024-05-0221:54

Grant writing pet peeves

2024-04-1817:37

Favorite science movies

2024-04-0420:05

How is data science different than statistics?

2024-03-2114:05

How many "questionnaires" are too many?

2024-03-0715:56

00:00

Complicated relationships among 3 variables

#box-pro-ellipsis-176485212412274{-webkit-line-clamp:2;}Complicated relationships among 3 variables

Complicated relationships among 3 variables

SDM Core

Complicated relationships among 3 variables