Estimation methods with ordered exposure subject to measurement error and missingness in semi-ecological design

• Published in: BMC medical research methodology Vol. 12; no. 1; p. 135
• Main Authors: Kim, Hyang-Mi, Park, Chul Gyu, van Tongeren, Martie, Burstyn, Igor
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 04.09.2012; BioMed Central; BMC
• Subjects: Algorithms; Analysis; Bias; Bias (Statistics); Black carbon; Constrained estimation; EM algorithm; Epidemiologic Measurements; Epidemiologic Studies; Epidemiology; Estimates; Estimation theory; Expectation-maximization algorithm; Group-based strategy; Health aspects; Humans; Isotonic regression; Measurement; Measurement errors; Medical research; Medicine, Experimental; Methods; Missing observations (Statistics); Occupational Exposure; Outcome Assessment (Health Care); Research Design; Respiration - drug effects; Respiratory Function Tests; Risk Assessment; Soot - poisoning; Statistical methods; Studies; Sustainable living; Variables

In epidemiological studies, it is often not possible to measure accurately exposures of participants even if their response variable can be measured without error. When there are several groups of subjects, occupational epidemiologists employ group-based strategy (GBS) for exposure assessment to red...