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However, changes in estimate of more than 5%% were only observed for BMI and menarche age for PFNA and BC risk.
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The "parsimonious" model was defined applying a " change-in estimate" procedure [ 19- 21].
Table 3 reports the number of comparisons where each variable is identified as confounder by the change-in estimate procedure.
The change-in-estimate method with a 10%% change criterion was used to remove covariates (Walter and Tiemeier 2009).
The variables included in the final linear regression models were selected by the change-in-estimate procedure with backward elimination [66].
Confounders were selected according to biological plausibility and to the change-in-estimate criterion.
Confounder selection was based on biologic plausibility and on the change-in-estimate criterion.
We applied the variable selection technique, 10% change-in-estimate criterion (Rothman et al. 2008), to select potential confounding factors.
Using the change-in-estimate model building method, we identified depression, marital status, and income as confounders of this association.
Covariates were subsequently identified as confounders for the outcome using the 10%% change-in-estimate method [ 27].
Stepwise selection based on p-values or the change-in-estimate are common statistics-based approaches [ 4].
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