Accommodation of additional non-randomly sampled cases in a study of Heliobacter pylori infection in families
Date
2005
Authors
Kivi, Marten
Johansson, Anna L V
Salim, Agus
Tindberg, Ylva
Reilly, Marie
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Publisher
John Wiley & Sons Inc
Abstract
Epidemiological studies with two-stage designs typically gather information about some covariates from all study subjects in the first sampling stage, while additional data from only a subset of the subjects are collected in the second sampling stage. Appropriate analysis of two-stage studies maintains validity and can also improve precision. We describe an application of a weighted likelihood method, mean-score logistic regression, to accommodate data from a cross-sectional study of Helicobacter pylori infection in children, where the study sample was enriched with additional non-randomly sampled cases. The present work exemplifies how careful analysis of epidemiological data from complex sampling schemes can adjust for potential selection bias, improve precision and enable a more complete investigation of factors of interest. Our results highlight the importance of H. pylori infected mothers and siblings as risk factors for the infection in children in Sweden.
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Keywords
Keywords: accuracy; adult; article; controlled study; data analysis; family study; female; Helicobacter infection; Helicobacter pylori; human; infection risk; logistic regression analysis; major clinical study; male; prevalence; random sample; school child; scoring Helicobacter pylori; Mean-score logistic regression; Missing data; Two-stage
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Source
Statistics in Medicine
Type
Journal article
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Restricted until
2037-12-31
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