Predictors of weight regain in patients who underwent Roux-en-Y gastric bypass surgery: Methodological issues

  • Reza Pakzad
    Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
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  • Saeid Safiri
    Managerial Epidemiology Research Center, Department of Public Health, School of Nursing and Midwifery, Maragheh University of Medical Sciences, Maragheh, Iran

    Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Published:January 03, 2017DOI:
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      • Author’s Response
        Surgery for Obesity and Related DiseasesVol. 13Issue 7
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          Thank you for the comment. We completely agree that using P<.1 or P<.2 would include all of the potential predictors into the model and it may be better than using P<.05 as a cut point. Actually, during the analysis, we used all of these P values as cut-off points (P<.05, P<.1, or P<.2) to explore all of the independent variables to predict weight regain after Roux-en-Y gastric bypass. However, no matter which cut-off points we used, the analysis predicted the same independent variables.
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