Assessment of weighting methodology for the National Comorbidity Survey.

The authors studied weighting adjustments for the National Comorbidity Survey (1990-1992), a large-scale national epidemiologic investigation of the prevalence, risk factors, and consequences of psychiatric morbidity and comorbidity in the United States. Weighting adjustments for differential selection within households, new construction, unit nonresponse, and poststratification were examined separately and in combination. Specific issues addressed included the magnitude of the bias incurred from ignoring the weights, the added variance from weighting and how well this was predicted by simple formulae, and the performance of methods for trimming the weights. Weights had quite modest effects on point estimates of prevalences but resulted in major increases in variance unless trimmed. The weights after trimming and poststratification appeared to work well. It is suggested that the added variance from weighting be carefully monitored in similar surveys. Alternatives to the use of trimming for controlling variance are worth exploring.

[1]  Edward L. Korn,et al.  Examples of Differing Weighted and Unweighted Estimates from a Sample Survey , 1995 .

[2]  R M Groves,et al.  Advances in strategies for minimizing and adjusting for survey nonresponse. , 1995, Epidemiologic reviews.

[3]  R. Kessler,et al.  Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. , 1994, Archives of general psychiatry.

[4]  R. Little.  Post-Stratification: A Modeler's Perspective , 1993 .

[5]  D. Pfeffermann.  The Role of Sampling Weights when Modeling Survey Data , 1993 .

[6]  J. Anthony,et al.  Psychopathology and attrition in the epidemiologic catchment area surveys. , 1992, American journal of epidemiology.

[7]  R. Kessler,et al.  A population-based twin study of major depression in women. The impact of varying definitions of illness. , 1992, Archives of general psychiatry.

[8]  C. Allgulander.  Psychoactive drug use in a general population sample, Sweden: correlates with perceived health, psychiatric diagnoses, and mortality in an automated record-linkage study. , 1989, American journal of public health.

[9]  Malay Ghosh,et al.  Robust Empirical Bayes Estimation of Means from Stratified Samples , 1987 .

[10]  M. H. Hansen.  An Evaluation of Model-Dependent and Probability-Sampling Inferences in Sample Surveys , 1983 .

[11]  W. DuMouchel,et al.  Using Sample Survey Weights in Multiple Regression Analyses of Stratified Samples , 1983 .

[12]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[13]  Roderick J. A. Little,et al.  Estimating a Finite Population Mean from Unequal Probability Samples , 1983 .

[14]  C. O'muircheartaigh,et al.  Sample designs and sampling errors for the World Fertility Survey , 1980 .