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| From | Austin Nichols <austinnichols@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Multiple imputation for longitudinal data |
| Date | Fri, 3 Dec 2010 12:30:19 -0500 |
Eduardo Nunez <enunezb@gmail.com>: Can you tell us what kind of data these are? It looks like you have very severe attrition, and depending on the data you may want a hazard model, possibly assuming uninformative censoring, which might be simple to implement and require no imputation, or you may believe that censoring is informative, and either imputation or a hazard model would require untenable assumptions. On Fri, Dec 3, 2010 at 12:20 PM, Eduardo Nunez <enunezb@gmail.com> wrote: > Based on what you wrote, I imagine Stata hasn't implemented these > methods ( that utilize the > monotonicity of monotonicity). > Would you guide me to the software that has these estimation methods. > Do you know if it is implemented in R? >> >>> Distribution of T_i: min 5% 25% 50% 75% 95% max >> >>> 1 1 1 2 3 6 12 >> >>> >> >>> Freq. Percent Cum. | Pattern >> >>> ---------------------------+-------------- >> >>> 650 45.39 45.39 | 1........... >> >>> 359 25.07 70.46 | 11.......... >> >>> 202 14.11 84.57 | 111......... >> >>> 91 6.35 90.92 | 1111........ >> >>> 52 3.63 94.55 | 11111....... >> >>> 44 3.07 97.63 | 111111...... >> >>> 11 0.77 98.39 | 1111111..... >> >>> 9 0.63 99.02 | 11111111.... >> >>> 6 0.42 99.44 | 111111111... >> >>> 4 0.28 99.72 | 1111111111.. >> >>> 3 0.21 99.93 | 11111111111. >> >>> 1 0.07 100.00 | 111111111111 >> >>> ---------------------------+-------------- >> >>> 1432 100.00 | XXXXXXXXXXXX >> >>> * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/