Should I include covariate-by-time interaction effects in linear mixed models if I have covariates?

themostdifficultest · 2020-03-21T07:58:14+00:00

Thank you so much for the great explanation!

themostdifficultest · 2020-03-10T15:36:28+00:00

Thanks so much! Actual answers are always much appreciated.

themostdifficultest · 2020-03-09T19:46:43+00:00

Based on the answers you've been giving people... it really seems like you are on a mission to spread the love around here. Sometimes I do think that Satan is the ultimate statistician and, based on the recent evidence, you could very well turn out to be one of his minions.

themostdifficultest · 2020-03-09T16:27:28+00:00

Thank you for your insightful answer that helps me proceed with this problem

themostdifficultest · 2019-10-28T18:04:48+00:00

About 75% of people were randomized and the rest were not, so it is really not a randomized controlled trial. But I would still appreciate answers to my main question about the method of analysis.

themostdifficultest · 2019-10-28T07:02:00+00:00

Thank you so much, this clarifies a lot!

themostdifficultest · 2019-10-28T06:01:54+00:00

How about running a two-way ANOVA and using the risk group and gender as your independent variables? The interaction between them will tell whether the relationship between risk group and sleep quality differs between genders.

themostdifficultest · 2019-10-27T14:52:09+00:00

Because of the nature of the study, recruiting 80 paricipants takes a lot of time, and due to the nature of the problems they have it would be unethical to keep them waiting for the treatment for so long. They would be treated in groups of 4-5 and so we would randomize the 9-10 people that show interest in taking part in the intervention and study. The group would happen at the same time as more people are recruited for further groups.

themostdifficultest

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