Timeline for Compare subgroups on before and after intervention
Current License: CC BY-SA 4.0
11 events
| when toggle format | what | by | license | comment | |
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| Aug 22, 2022 at 11:21 | vote | accept | user3199227 | ||
| Aug 10, 2022 at 12:50 | answer | added | Graham Wright | timeline score: 3 | |
| Aug 10, 2022 at 12:35 | comment | added | Sal Mangiafico | You might want to construct a single model that includes gender, age, and other demographic information. If appropriate, you might use multiple linear regression for this (general linear model). If you want a nonparametric approach, it sounds like aligned ranks transformation anova would work for your situation. In either case, you can then make the post-hoc comparisons that are of interest to you. | |
| Aug 10, 2022 at 12:03 | history | edited | user3199227 | CC BY-SA 4.0 |
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| Aug 10, 2022 at 11:16 | comment | added | Frank Harrell | Keep in mind that a pre-post design, without an element of randomization, is one of the weakest of all designs. And it depends on having no missing data. | |
| Aug 10, 2022 at 11:07 | history | edited | user3199227 | CC BY-SA 4.0 |
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| Aug 10, 2022 at 11:07 | history | edited | user3199227 | CC BY-SA 4.0 |
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| Aug 10, 2022 at 10:15 | history | edited | user3199227 | CC BY-SA 4.0 |
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| Aug 10, 2022 at 10:15 | history | edited | user3199227 | CC BY-SA 4.0 |
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| S Aug 10, 2022 at 10:12 | review | First questions | |||
| Aug 10, 2022 at 10:13 | |||||
| S Aug 10, 2022 at 10:12 | history | asked | user3199227 | CC BY-SA 4.0 |