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Validating Marker‐Based Incidence Estimates in Repeatedly Screened Populations
Author(s) -
Satten Glen A.,
Janssen Robert,
Busch Michael P.,
Datta Somnath
Publication year - 1999
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.1999.01224.x
Subject(s) - incidence (geometry) , estimator , statistics , human immunodeficiency virus (hiv) , cross sectional study , medicine , estimation , demography , mathematics , virology , geometry , sociology , management , economics
Summary. Disease incidence (new cases of disease per person per year) is usually measured by using longitudinal data. However, several recent proposals for measuring the incidence of human immunodeficiency virus (HIV) rely on cross‐sectional data only. These methods assume each person is only sampled once; however, in some instances, it is necessary to consider these cross‐sectional methods when individuals are represented more than once in the survey sample. We derive an extension of the cross‐sectional incidence estimator that is valid for data from repeatedly screened populations and show under what conditions our new estimator reduces to the old estimator. An example involving estimation of HIV incidence among repeat blood donors is presented.