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Jan 31, 2018 at 9:41 comment added K Neuro I went through the threads. They were insightful but I believe that they don't address this question. Here there is a single population (small size) but there are much higher number of trials per subject.
Jan 30, 2018 at 20:19 comment added gung - Reinstate Monica Some related threads: (1) Should I run separate regressions for every community, or can community simply be a controlling variable in an aggregated model?; (2) Multilevel model vs. separate models for each level; (3) Under what conditions should one use multilevel/hierarchical analysis?
Jan 30, 2018 at 20:04 history edited gung - Reinstate Monica CC BY-SA 3.0
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Jan 29, 2018 at 19:34 comment added K Neuro To my knowledge, these methods are used for pooling small populations and minimizing the variance. Correct me if I am wrong. I am not sure if it is valid to use this method for pooling trials from individual subjects. Let me know about this. i'd also appreciate if you can point me to an ex of similar situation. Thanks!
Jan 29, 2018 at 18:34 comment added mdewey The standard method, inverse variance weighting.
Jan 29, 2018 at 17:45 comment added K Neuro what kind of meta-analysis do you mean?
Jan 29, 2018 at 17:01 comment added mdewey Why not analyse each animal separately and then use meta-analysis to pool the effects?
Jan 29, 2018 at 16:54 review First posts
Jan 29, 2018 at 21:51
Jan 29, 2018 at 16:53 history asked K Neuro CC BY-SA 3.0