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for each respondent, the likelihood of selection was a product of logistic sampling fractions and propensity to participate weights. both sampling fractions and propensity to participate weights were derived by using taylor series expansions to approximate the sampling distributions of states in the strata. a total of 13 strata were developed for both the main nsduh survey and sla dugs. after a half-sample design check, each stratum was weighted by the inverse of the product of the sampling fraction and the complex survey weight (hiv/aids). the main survey respondent weights were calibrated to match the weighted unit population in the full nsduh sample. the sampling weights, strata weights, and post-strata weights were then applied to the analysis weights.
a number of design decisions and issues were addressed in the weighted analysis of the nsduhs data. like the other nsduh data, the nsduh mental health data were developed and processed to reduce potential bias, remove potential measurement errors, and reduce the variance of estimates. because all analyses were designed to be restricted to research-weighted data, available weights were used for all analyses. however, to reduce potential selection biases due to survey nonresponse, a fixed percentage of the unit population weight (a product of the sampling fraction and the strata weight) was also used. the resulting weight of the nsduh data was a product of unit population weights, nongravitational weights, a stratification covariate, and a poststratification covariate.
saunders et al. estimated the prevalence of smi in the united states in 2007 and 2008. they were able to incorporate data from the nsduh 2007 and 2008 data streams and the sla dugs data by weighting each respondent to represent the total population of adults in the united states in 2007 and 2008. the inpatient claims and outpatient data from 2007 were linked to adults with sla dugs in the nsduhs sample. if, on average, the inflated estimates due to this linkage are offset by the bias due to nonparticipants, the estimates provided by saunders et al. should be reasonably unbiased.
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