Utility of capture-recapture methodology to assess completeness of amyotrophic lateral sclerosis case ascertainment

Affiliates Michael Wittie [1], Lorene M. Nelson [2], Sharon Usher [3], Kevin Ward [4], Michael Benatar [5]


[1] Washington, D.C.
[2] Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine
[3] Department of Neurology, University of South Florida
[4] Department of Epidemiology, Rollins School of Public Health, Emory University
[5] Department of Neurology, Miller School of Medicine, University of Miami

Journal Neuroepidemiology
Summary This study implements capture-recapture methods to assess the completeness of ALS case ascertainment using existing data sources. This study highlights gaps in research based on existing data sources and illustrates a method for combing data from multiple sources to help establish the US national ALS registry. To increase the effectiveness of capture-recapture studies, the most complete sets of data should be used, and more than two sources should be used.
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