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Approximate Median Regression via the Box-Cox Transformation

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  • Fitzmaurice, Garrett M.
  • Lipsitz, Stuart R.
  • Parzen, Michael

Abstract

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  • Fitzmaurice, Garrett M. & Lipsitz, Stuart R. & Parzen, Michael, 2007. "Approximate Median Regression via the Box-Cox Transformation," The American Statistician, American Statistical Association, vol. 61, pages 233-238, August.
  • Handle: RePEc:bes:amstat:v:61:y:2007:m:august:p:233-238
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    Cited by:

    1. Polpo, A. & de Campos, C.P. & Sinha, D. & Lipsitz, S. & Lin, J., 2014. "Transform both sides model: A parametric approach," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 903-913.
    2. Raphael André Fraser & Stuart R. Lipsitz & Debajyoti Sinha & Garrett M. Fitzmaurice & Yi Pan, 2016. "Approximate median regression for complex survey data with skewed response," Biometrics, The International Biometric Society, vol. 72(4), pages 1336-1347, December.
    3. Debajyoti Sinha & Piyali Basak & Stuart R. Lipsitz, 2022. "Median regression models for clustered, interval-censored survival data - An application to prostate surgery study," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(4), pages 723-743, October.
    4. Jianchang Lin & Debajyoti Sinha & Stuart Lipsitz & Adriano Polpo, 2012. "Semiparametric Bayesian Survival Analysis using Models with Log-linear Median," Biometrics, The International Biometric Society, vol. 68(4), pages 1136-1145, December.

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