IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v51y2007i8p4054-4063.html
   My bibliography  Save this article

Detecting an interaction between treatment and a continuous covariate: A comparison of two approaches

Author

Listed:
  • Sauerbrei, Willi
  • Royston, Patrick
  • Zapien, Karina

Abstract

No abstract is available for this item.

Suggested Citation

  • Sauerbrei, Willi & Royston, Patrick & Zapien, Karina, 2007. "Detecting an interaction between treatment and a continuous covariate: A comparison of two approaches," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 4054-4063, May.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:8:p:4054-4063
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(06)00517-2
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Patrick Royston & Gareth Ambler, 1999. "Multivariable fractional polynomials," Stata Technical Bulletin, StataCorp LP, vol. 8(43).
    2. Kehl, Victoria & Ulm, Kurt, 2006. "Responder identification in clinical trials with censored data," Computational Statistics & Data Analysis, Elsevier, vol. 50(5), pages 1338-1355, March.
    3. Patrick Royston, 2005. "Multivariable regression models with continuous covariates, with a practical emphasis on fractional polynomials and applications in clinical epidemiology," German Stata Users' Group Meetings 2005 01, Stata Users Group.
    4. Patrick Royston & Douglas G. Altman, 1994. "Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(3), pages 429-453, September.
    5. W. Sauerbrei & P. Royston, 1999. "Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 71-94.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Graham K. Brown & Thanos Mergoupis, 2011. "Treatment interactions with nonexperimental data in Stata," Stata Journal, StataCorp LP, vol. 11(4), pages 545-555, December.
    2. Engel, Christoph, 2020. "Estimating heterogeneous reactions to experimental treatments," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 124-147.
    3. Patrick Royston & Willi Sauerbrei, 2009. "Two techniques for investigating interactions between treatment and continuous covariates in clinical trials," Stata Journal, StataCorp LP, vol. 9(2), pages 230-251, June.
    4. repec:eid:wpaper:10/10 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sauerbrei, W. & Meier-Hirmer, C. & Benner, A. & Royston, P., 2006. "Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3464-3485, August.
    2. Strasak, Alexander M. & Umlauf, Nikolaus & Pfeiffer, Ruth M. & Lang, Stefan, 2011. "Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1540-1551, April.
    3. Marisa Rifada & Vita Ratnasari & Purhadi Purhadi, 2023. "Parameter Estimation and Hypothesis Testing of The Bivariate Polynomial Ordinal Logistic Regression Model," Mathematics, MDPI, vol. 11(3), pages 1-12, January.
    4. William D. Dupont, 2010. "Review of Multivariable Model-building: A Pragmatic Approach to Regression Analysis Based on Fractional Polynomials for Modeling Continuous Variables, by Royston and Sauerbrei," Stata Journal, StataCorp LP, vol. 10(2), pages 297-302, June.
    5. Royston, P. & Sauerbrei, W., 2007. "Improving the robustness of fractional polynomial models by preliminary covariate transformation: A pragmatic approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4240-4253, May.
    6. Patrick Royston & Willi Sauerbrei, 2009. "Two techniques for investigating interactions between treatment and continuous covariates in clinical trials," Stata Journal, StataCorp LP, vol. 9(2), pages 230-251, June.
    7. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Didier Maillard, 2019. "Computation of the corrected Cornish–Fisher expansion using the response surface methodology: application to VaR and CVaR," Annals of Operations Research, Springer, vol. 281(1), pages 423-453, October.
    8. Geweke, John & Petrella, Lea, 2014. "Likelihood-based inference for regular functions with fractional polynomial approximations," Journal of Econometrics, Elsevier, vol. 183(1), pages 22-30.
    9. Farber, Steven & Li, Xiao, 2013. "Urban sprawl and social interaction potential: an empirical analysis of large metropolitan regions in the United States," Journal of Transport Geography, Elsevier, vol. 31(C), pages 267-277.
    10. Armando Rungi & Davide Del Prete, 2017. "The 'Smile Curve': where Value is Added along Supply Chains," Working Papers 05/2017, IMT School for Advanced Studies Lucca, revised Mar 2017.
    11. Binder, Harald & Sauerbrei, Willi, 2008. "Increasing the usefulness of additive spline models by knot removal," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5305-5318, August.
    12. Daniel McNeish & Denis Dumas & Dario Torre & Neil Rice, 2022. "Modelling time to maximum competency in medical student progress tests," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2007-2034, October.
    13. Ali Fakih & Walid Marrouch, 2019. "Environmental Kuznets Curve, a Mirage? A Non-parametric Analysis for MENA Countries," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(1), pages 113-119, February.
    14. Griffin, John M. & Kruger, Samuel & Maturana, Gonzalo, 2021. "What drove the 2003–2006 house price boom and subsequent collapse? Disentangling competing explanations," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1007-1035.
    15. John K. Pattison‐Williams & Philippe Marcoul & Sandeep Mohapatra, 2023. "Intrahousehold moral hazard frictions and household poverty traps in rural India," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(1), pages 67-96, January.
    16. Gwilym Pryce, 2011. "Bidding Conventions and the Degree of Overpricing in the Market for Houses," Urban Studies, Urban Studies Journal Limited, vol. 48(4), pages 765-791, March.
    17. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    18. Jackson, Christopher, 2016. "flexsurv: A Platform for Parametric Survival Modeling in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i08).
    19. Annalisa Orenti & Patrizia Boracchi & Giuseppe Marano & Elia Biganzoli & Federico Ambrogi, 2022. "A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 709-727, September.
    20. Stefanie Hieke & Harald Binder & Alexandra Nieters & Martin Schumacher, 2014. "minPtest: a resampling based gene region-level testing procedure for genetic case-control studies," Computational Statistics, Springer, vol. 29(1), pages 51-63, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:51:y:2007:i:8:p:4054-4063. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.