Timeline for Interpretation of Interaction when the results in one of the two groups is not statistically significant
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Jan 19, 2023 at 15:27 | comment | added | EdM | @user89547235 for inference, don't focus on the individual coefficients that you show. You need to do tests on A and on sex that include both their individual coefficients and their interaction term, while taking the covariances among the coefficient estimates into account. The default Type II anova performed by the Anova() (note the capital "A") function in the R car package can do that. Such tests on all coefficients involving A or sex are the best way to evaluate whether either is associated with outcome overall. | |
| Jan 19, 2023 at 15:03 | comment | added | user89547235 | Thank you for this answer. So, it is wrong to make inference on the significance of the effect in Females, but rather one should focus on the interaction between the two sexes. Am I right? | |
| Jan 19, 2023 at 15:00 | vote | accept | user89547235 | ||
| Jan 19, 2023 at 13:03 | history | bounty awarded | CommunityBot | ||
| Jan 13, 2023 at 22:21 | history | answered | EdM | CC BY-SA 4.0 |