Timeline for Finding correlations in longitudinal data analysis
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Sep 5, 2013 at 5:41 | answer | added | Arne Jonas Warnke | timeline score: 1 | |
| Jul 17, 2013 at 5:14 | history | tweeted | twitter.com/#!/StackStats/status/357367802945998848 | ||
| Jul 16, 2013 at 15:35 | history | edited | nan | CC BY-SA 3.0 |
deleted 4 characters in body
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| Jul 16, 2013 at 15:25 | comment | added | nan | @gung Hi,thanks for the link, I just updated my problem description. I'll take a look at your suggested thread. | |
| Jul 16, 2013 at 15:24 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
light editing & formatting
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| Jul 16, 2013 at 15:24 | comment | added | nan | @AndreSilva Hi, I just updated my problem description. Hope this time it is clearer. | |
| Jul 16, 2013 at 15:21 | history | edited | nan | CC BY-SA 3.0 |
rephrases some sentences and illustrate an example data set
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| Jul 16, 2013 at 14:40 | history | edited | Gala | CC BY-SA 3.0 |
edited body; edited title
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| Jul 16, 2013 at 14:25 | comment | added | gung - Reinstate Monica | Are you familiar w/ mixed-effects (aka, multilevel or HLM) models? Your situation sounds similar (structurally) to studies in psycholinguistics where there are participants & words, both of which are treated as random factors sampled from a larger population. This thread might be a place to start reading: Example reports for mixed-model analysis using lmer in biology, psychology and medicine. | |
| Jul 16, 2013 at 13:55 | review | First posts | |||
| Jul 16, 2013 at 14:25 | |||||
| Jul 16, 2013 at 13:39 | history | asked | nan | CC BY-SA 3.0 |