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 5^th Ave, Suite 600

Seattle, WA 98121

Email: tanjas@u.washington.edu

Tel: +1-206-897-2866