title: Marginal regression for repeated binary data with outcome subject to non-ignorable non-response.
abstract: Using a model that accounts for non-ignorable non-response, we analyzed data from the Muscatine Risk Factor Study (Woolson and Clarke, 1984, Journal of the Royal Statistical Society, Series A 147, 87-99) on the effects of gender and age on obesity in schoolchildren. The methodology is related to that of Diggle and Kenward (1994, Applied Statistics 43, 49-93), except that the repeated data are binary, not continuous, and the non-response occurs in various patterns, not just dropouts. We found strong evidence that non-response was non-ignorable. In addition, we found that the proportion of children who were obese differed significantly with gender and increased with age.
authors.affiliation: Biometry Branch, National Cancer Institute, Bethesda, Maryland 20892-7354, USA.
authors.forename: S G
authors.initials: SG
authors.lastname: Baker
mesh_terms: D000293:Adolescent; D000367:Age Factors; D001699:Biometry; D002648:Child; D003327:Coronary Disease / Q000453:epidemiology*; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008433:Mathematics; D015233:Models, Statistical; D009765:Obesity; D012307:Risk Factors; D012727:Sex Characteristics