Methods for estimating remission rates from cross-sectional survey data: Application and validation using data from a national migraine study

American Journal of Epidemiology

Volumn 173, Issue 8, 2011, Pages 949-955

  Roy, Jason ^a   Stewart, Walter F ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b GEISINGER MEDICAL CENTER   (United States)

Author keywords

Bayes theorem; Bayesian inference; cross sectional studies; epidemiologic methods; migraine disorders; remission induction; spline

Indexed keywords

AGE CLASS; BAYESIAN ANALYSIS; DATA SET; DISEASE INCIDENCE; DISEASE PREVALENCE; DISEASE TREATMENT; EPIDEMIOLOGY; ETIOLOGY; HEALTH SURVEY; NERVOUS SYSTEM DISORDER;

ADULT; ARTICLE; BAYES THEOREM; FEMALE; HEALTH SURVEY; HUMAN; MAJOR CLINICAL STUDY; MALE; MIGRAINE; REMISSION; VALIDATION STUDY;

ADOLESCENT; ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; BAYES THEOREM; CHILD; CROSS-SECTIONAL STUDIES; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC METHODS; FEMALE; HUMANS; INCIDENCE; MALE; MIDDLE AGED; MIGRAINE DISORDERS; PREVALENCE; REMISSION INDUCTION; SEX FACTORS; YOUNG ADULT;

EID: 79953853306     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq464     Document Type: Article

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