Timeline for How to solve a case of unbalanced repeated measures?
Current License: CC BY-SA 2.5
7 events
| when toggle format | what | by | license | comment | |
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| Jan 10, 2011 at 14:57 | comment | added | Mike Lawrence | @AndyW & fabians: I've updated the post to reflect my understanding of how mixed effects models handle missing data, please feel free to let me know if my understanding is erroneous in any way! | |
| Jan 10, 2011 at 14:53 | history | edited | Mike Lawrence | CC BY-SA 2.5 |
Expanded on my understanding of how missing data are handled in a mixed effects model.
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| Jan 10, 2011 at 13:22 | comment | added | fabians | ...if by "handle" you mean ignore/remove all observations with missing values for any of the covariates or responses. | |
| Jan 9, 2011 at 21:34 | comment | added | mpiktas | @Rom, if you do not know how to interpret results, try formulating it as a new question. | |
| Jan 7, 2011 at 16:04 | comment | added | Rom | Thanks for answers. Sorry, but I'm not an expert neither a statistician, I don't handle R. I've just two statistical softwares, SPSS 16 or STATISTICA 7.0 from StatSoft and I'm quite lost! I've tried mixed models with SPSS with fixed effect for reproductive status and dose as the repeated effect. however I'm quite confuse, I'dont know how interprete the results. | |
| Jan 7, 2011 at 14:11 | comment | added | Andy W | While I don't doubt the veracity of your claims, it may be more useful to the OP and to the community in general if you describe how the lme4 package handles missing values. | |
| Jan 6, 2011 at 21:06 | history | answered | Mike Lawrence | CC BY-SA 2.5 |