Bonnie Ghosh-Dastidar addressed the issue of how to combine optimal probability sampling and convenience sampling to produce meaningful summaries of data when meeting with the Middle Tennessee Chapter of the American Statistical Association. In a study measuring the prevalence of child care and the quality of pre-schooling in California, Bonnie and her colleagues at the RAND Corporation had to survey households with a 3- or 4-year old. Due to the low prevalence rate of this group and the lack of a natural sampling frame, researchers had to employ an alternate method developed by Elliott and Haviland (2007) to produce biased but minimum mean squared error (MSE) prevalence estimates from two independent samples; one produced by random digit dial (RDD) and the other from an incomplete sampling frame (i.e., inbound web hits or a listed sample). Dr. Ghosh-Dastidar discussed the extent to which this new approach improves the MSE of estimates relative to RDD and to the traditional stratified estimate.