title: Statistical uncertainty due to misclassification: implications for validation substudies.
abstract: Certain studies incorporate a validation substudy as an integral part of their design. In the substudy, the results of a primary but error-prone measurement are compared with the results of a more accurate (but more difficult or costly) criterion measurement. The results of this substudy are then used to evaluate the impact of errors in the primary measurement on study validity. The present paper shows that the alternative of a fully-validated design (i.e. one that obtains criterion measurements on all subjects) may provide more information per unit cost than a larger study coupled with a validation substudy. Several formulas are provided to aid in detecting such a situation, and illustrated in the design of a case-control study of sudden infant death syndrome (SIDS).
authors.affiliation: Division of Epidemiology, UCLA School of Public Health 90024-1772.
authors.forename: S
authors.initials: S
authors.lastname: Greenland
mesh_terms: D000900:Anti-Bacterial Agents / Q000009:adverse effects; D004812:Epidemiologic Methods; D006801:Humans; D012107:Research Design; D012494:Sampling Studies; D012680:Sensitivity and Specificity; D013223:Statistics as Topic; D013398:Sudden Infant Death / Q000209:etiology
chemical_list: D000900:Anti-Bacterial Agents