The quality of cause-of-death statistics.
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Biomedical subjects
Publications and source records attributed to M G Sirken.
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"When there are two or more data systems and none of them enumerates the population at an acceptable completeness level, concern about the bias due to underenumeration suggests an estimator which makes joint use of data compiled by the combined imperfect data systems. Conventional dual system estimators are based on the existence of two separate data collection systems. Dual system network estimators assume a main survey and a follow-up quality check survey. The main survey adopts a multiplicity counting rule that combines two mutually exclusive partial counting rules." Three dual system network estimators are presented. "One was previously proposed by Sirken (1979) and is the natural analogue of the conventional dual system estimator. The two other estimators are proposed as potential improvements, although neither of them is the natural analogue of the conventional dual system estimator. The design effects of the three estimators are compared analytically and empirically with one another, and with those of the single system conventional and network estimators." (summary in FRE)
The National Center for Health Statistics is embarked on a major project to combine the respective strengths of cognitive psychologists and survey researchers in a common effort to improve the design of survey questionnaires. This methodological research is conducted within the framework of the National Health Interview Survey, the nation's main source of information on the health of civilians. Better quality of such information--from recall to response rates--can aid both scientific inquiry and public policy.
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Explore the source record for details and available documents.
Explore the source record for details and available documents.