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Adjusting for Baseline Covariates in Net Benefit Regression: How You Adjust Matters

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  • Wanrudee Isaranuwatchai
  • Maureen Markle-Reid
  • Jeffrey Hoch

Abstract

This study showed that different baseline adjustment approaches in a cost-effectiveness analysis can lead to different results. Future research is needed to determine the most appropriate adjustment approach in planning economic evaluation using NB regression. Copyright Springer International Publishing Switzerland 2015

Suggested Citation

  • Wanrudee Isaranuwatchai & Maureen Markle-Reid & Jeffrey Hoch, 2015. "Adjusting for Baseline Covariates in Net Benefit Regression: How You Adjust Matters," PharmacoEconomics, Springer, vol. 33(10), pages 1083-1090, October.
    • Handle: RePEc:spr:pharme:v:33:y:2015:i:10:p:1083-1090
    DOI: 10.1007/s40273-015-0287-6
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    References listed on IDEAS

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    1. Andrea Manca & Neil Hawkins & Mark J. Sculpher, 2005. "Estimating mean QALYs in trial‐based cost‐effectiveness analysis: the importance of controlling for baseline utility," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 487-496, May.
    2. Jeffrey S. Hoch & Andrew H. Briggs & Andrew R. Willan, 2002. "Something old, something new, something borrowed, something blue: a framework for the marriage of health econometrics and cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 415-430, July.
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    Cited by:

    1. Mohamed El Alili & Johanna M. van Dongen & Jonas L. Esser & Martijn W. Heymans & Maurits W. van Tulder & Judith E. Bosmans, 2022. "A scoping review of statistical methods for trial‐based economic evaluations: The current state of play," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2680-2699, December.

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