Timeline for Adjusting for potential confounders w/ paired t-test?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 14, 2021 at 16:56 | vote | accept | Maldini | ||
| Sep 2, 2021 at 1:03 | answer | added | Demetri Pananos | timeline score: 1 | |
| Sep 1, 2021 at 23:59 | comment | added | Maldini | @DemetriPananos No randomization. One group w/ data collected at baseline and then 1 week later. Thanks for your response. | |
| Sep 1, 2021 at 23:58 | comment | added | Maldini | @AdrianKeister Only those variables that meet the definition of a potential confounder would be adjusted for. Thanks for your response. | |
| Sep 1, 2021 at 21:57 | comment | added | Demetri Pananos | Did you randomize people into two groups? What exactly are you going to t test? | |
| Sep 1, 2021 at 21:39 | comment | added | Adrian Keister | Ideally, you would know for sure whether certain variables are confounders or not. You can biased results if you adjust for a variable that's not a confounder. The "when in doubt, adjust" strategy is simply incorrect. There are many ways to adjust for actual confounders (a confounder is a variable that sets up a backdoor path, by the way): backdoor adjustment, frontdoor adjustment, stratified, and intrumental variables. Some are more useful in some scenarios than others. Do you have a causal graph? | |
| S Sep 1, 2021 at 21:22 | review | First questions | |||
| Sep 2, 2021 at 1:37 | |||||
| S Sep 1, 2021 at 21:22 | history | asked | Maldini | CC BY-SA 4.0 |