2009
DOI: 10.1186/1471-2288-9-56
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Bias in odds ratios by logistic regression modelling and sample size

Abstract: BackgroundIn epidemiological studies researchers use logistic regression as an analytical tool to study the association of a binary outcome to a set of possible exposures.MethodsUsing a simulation study we illustrate how the analytically derived bias of odds ratios modelling in logistic regression varies as a function of the sample size.ResultsLogistic regression overestimates odds ratios in studies with small to moderate samples size. The small sample size induced bias is a systematic one, bias away from null… Show more

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Cited by 324 publications
(244 citation statements)
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“…Even though the logistic regression method overestimates odds ratios in studies with small to moderate sample size (NEMES et al, 2009), these present results support the frequency of treatment hypothesis and the frequency of use the same drug in the past on the development of AR (PRICHARD et al, 1980). The use of more than 75% of AVM in the previous survey years mostly implies the use of the same type of drug and is directly correlated with AVM resistance.…”
Section: Discussionsupporting
confidence: 75%
“…Even though the logistic regression method overestimates odds ratios in studies with small to moderate sample size (NEMES et al, 2009), these present results support the frequency of treatment hypothesis and the frequency of use the same drug in the past on the development of AR (PRICHARD et al, 1980). The use of more than 75% of AVM in the previous survey years mostly implies the use of the same type of drug and is directly correlated with AVM resistance.…”
Section: Discussionsupporting
confidence: 75%
“…We found worse outcomes in patients using narcotics daily, which might indicate that the rehabilitation program failed both in patients with high HSCL-25 and daily usage of narcotics. However, the confidence interval for daily usage of narcotics was very large and OR may be overestimated in small sample sizes [35]. In a recent systematic review, opioid therapy was not associated with reduction of pain compared with placebo [36].…”
Section: Discussionmentioning
confidence: 99%
“…Choices on data analysis strategy can also affect the results and their interpretation. For instance, logistic regression tends to overestimate the parameters of the model when sample size is under 500, although the standard error is no seriously affected (Nemes et al, 2009). The last limitation we should mention is the choice of instruments used.…”
Section: Discussionmentioning
confidence: 99%