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Fig. 4 | BMC Medical Research Methodology

Fig. 4

From: Preventing bias from selective non-response in population-based survey studies: findings from a Monte Carlo simulation study

Fig. 4

95% coverage of the associations between predictors and health outcome at 70% response-rate. Notes: Illustration of 95% coverage of the estimates of the associations between predictors (× 1 and × 2) and health outcome in situations with different degrees of dependency between study variables and liability of non-response. × 1 to the left, and × 2 to the right. Solid bars represent situations where extreme scores are present even if they are under-represented in the samples. Dotted bars represent situations where the 10% most extreme scores on the health outcome are totally missing from the samples. 95% coverage is the proportion of samples randomly drawn from the population that has a 95% confidence interval containing the true population value of bpred × 1 = 0.20, and bpred × 2 = 0.30. bnon 1 is dependency of liability of non-response on predictors (× 1, × 2, and × 3).bnon 2 is dependency of liability of non-response on health outcome

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