2018
DOI: 10.1111/ppe.12474
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Revisiting the Table 2 fallacy: A motivating example examining preeclampsia and preterm birth

Abstract: Reporting multiple effect estimates from a single model may lead to misinterpretation and lack of reproducibility. This example highlights the need for careful consideration of the types of effects estimated in statistical models.

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Cited by 33 publications
(32 citation statements)
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“…These included studies were conducted between 1984 and 2019. The sample sizes of these studies varied from 105 [16] to 2,963,888 [17]. The prevalence of alcohol consumption during pregnancy among different samples varied between 0.2% (China) [18] to 73.9% (SCOPE study) [19].…”
Section: Characteristics Of the Included Studiesmentioning
confidence: 99%
“…These included studies were conducted between 1984 and 2019. The sample sizes of these studies varied from 105 [16] to 2,963,888 [17]. The prevalence of alcohol consumption during pregnancy among different samples varied between 0.2% (China) [18] to 73.9% (SCOPE study) [19].…”
Section: Characteristics Of the Included Studiesmentioning
confidence: 99%
“…In this issue of Paediatric and Perinatal Epidemiology , Bandoli et al provide an interesting perinatal example of the Table 2 fallacy. Such fallacious interpretation may occur in the context of causal modelling when the effect of any determinant of interest is assessed though a multivariable model that includes confounders and modifiers.…”
Section: Introductionmentioning
confidence: 99%
“…1 Readers should use caution when interpreting results like these because they may be biased due to what is known as the " Table 2 Fallacy." 5 The " Table 2 Fallacy" is when effect estimates for multiple exposures and their confounders are estimated from the same statistical model, results that are often presented in an article's " Table 2." 5,6 Specifically, the covariates included in the final model of this study are secondary exposures of interest and may be serving as confounders to VRIs and/or antibiotic prescriptions.…”
mentioning
confidence: 99%