Hi, You might try "Multiple imputation for multivariate missing-data problems: a data analyst's perspective", by Schafer and Olsen (1998). It won't solve all your problems, but is a good general reference and should move you forward, anyway.
Jeff >Hi > >I'm a complete novice with regards to MI and have been reading around the >subject to see if it could be utilised for my PhD project. However, I have >been unable to find any information (that is clear, and relatively easy for >a non-statistician to understand) or examples on how to combine the results >from ANOVA's after MI. > >I understand the regression stuff to a certain extent, because the >estimands are straightforward, but with ANOVA I'm not sure which output >stats are to be combined, how they should be combined, and how to account >for the additional uncertainty from the multiple imputed datasets. This is >likely to be complicated by the fact that i want to conduct repeated >measures ANOVA's (one within, one between, unbalanced design) which will >produce many different effects. Further how do i combine the results of the >post hoc comparison tests? > >I've tried to get the answers from the Rubin and Schafer books, but i can't >really get my head around them without feeling that i need to take a stats >course. at the moment i'm feeling immensely dense, and am wondering if all >the extra effort required for MI is worth it. This is especially so when >there are many different types of analyses that i am required to conduct on >my imputed datasets (large number of ANOVA's, correlations, logistic >regression, multiple regression, eventually SEM). > >I need to get some simple examples and explanations on combining the >outcomes from the m analyses, in different types of analyses to make any >progress. It all seemed so simple when i first read about MI, but now i'm >trying to implement the technique, i'm left wondering if the gains to be >made by MI over single imputation are worth it. (If all else fails, i think >the only option is to use one imputation and run the required analyses). > >If anybody out there can help or guide me to a source which can explain in >a simple and clear manner what i need to do and how, i'd be extremely >grateful. Thanks in advance. > >getting desperate and running out of time. > >shash > >Shashivadan Hirani >University College London Medical School >Department of Psychiatry and Behavioural Science >2nd Floor, Wolfson Building >48 Riding House Street >London W1N 8AA > >Tel: 020 7679 9309 >Mobile: 07736 129648 >
