Hello,
I am trying to find out what specific bootstrapping algorithm is used to generate the m
incomplete data sets, which are then used to get m sets of point estimates for mu and
Sigma. Specifically, are you using a block, paired, wild or other type of bootstrapping to
sample m data sets of size n from the data D={D_obs, D_mis}?
I checked the documentation and the accompanying paper but could not find the answer.
Many thanks for any response you can give.
Best,
Tanja
Tanja Srebotnjak, PhD, MSc, Dipl. Stat.
Postgraduate Fellow
Institute for Health Metrics and Evaluation
University of Washington
2301 5th Ave, Suite 600
Seattle, WA 98121
Email: tanjas@u.washington.edu<mailto:tanjas@u.washington.edu>
Tel: +1-206-897-2866
www.healthmetricsandevaluation.org<http://www.healthmetricsandevaluation…