Investigation of age–treatment interaction in the SPACE trial using different statistical approaches
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Kurt Ulm | Bernhard Haller | Hans-Henning Eckstein | K. Ulm | B. Haller | H. Eckstein | P. Ringleb | Peter A. Ringleb
[1] Lu Tian,et al. A Simple Method for Detecting Interactions between a Treatment and a Large Number of Covariates , 2012, 1212.2995.
[2] T. Brott,et al. Age and Outcomes After Carotid Stenting and Endarterectomy: The Carotid Revascularization Endarterectomy Versus Stenting Trial , 2011, Stroke.
[3] Lu Tian,et al. Effectively Selecting a Target Population for a Future Comparative Study , 2013, Journal of the American Statistical Association.
[4] N. Smith,et al. With contributions from , 2007 .
[5] Thomas M. Loughin,et al. A residual bootstrap for regression parameters in proportional hazards models , 1995 .
[6] A. Vincent-Salomon,et al. Designs and challenges for personalized medicine studies in oncology: focus on the SHIVA trial , 2012, Targeted Oncology.
[7] L. Trinquart,et al. Endarterectomy Versus Angioplasty in Patients with Symptomatic Severe Carotid Stenosis (EVA-3S) trial: results up to 4 years from a randomised, multicentre trial , 2008, The Lancet Neurology.
[8] Marc Ratkovic,et al. Estimating treatment effect heterogeneity in randomized program evaluation , 2013, 1305.5682.
[9] W. Hacke,et al. 30 day results from the SPACE trial of stent-protected angioplasty versus carotid endarterectomy in symptomatic patients: a randomised non-inferiority trial , 2006, The Lancet.
[10] David R. Cox,et al. Regression models and life tables (with discussion , 1972 .
[11] J. M. Taylor,et al. Subgroup identification from randomized clinical trial data , 2011, Statistics in medicine.
[12] Jianqing Fan,et al. Local partial-likelihood estimation for lifetime data , 2006, math/0605511.
[13] C. Bulpitt. SUBGROUP ANALYSIS , 1988, The Lancet.
[14] P. Royston,et al. A new approach to modelling interactions between treatment and continuous covariates in clinical trials by using fractional polynomials , 2004, Statistics in medicine.
[15] Bingshu E. Chen,et al. Testing for treatment‐biomarker interaction based on local partial‐likelihood , 2015, Statistics in medicine.
[16] J. Lewis,et al. Statistical principles for clinical trials (ICH E9): an introductory note on an international guideline. , 1999, Statistics in medicine.
[17] B. Freidlin,et al. Statistical and practical considerations for clinical evaluation of predictive biomarkers. , 2013, Journal of the National Cancer Institute.
[18] M. Hartmann,et al. Clinical and angiographic risk factors for stroke and death within 30 days after carotid endarterectomy and stent-protected angioplasty: a subanalysis of the SPACE study , 2008, The Lancet Neurology.
[19] Marco Bonetti,et al. A small sample study of the STEPP approach to assessing treatment–covariate interactions in survival data , 2009, Statistics in medicine.
[20] Patrick Royston. MFPI: Stata module for modelling and displaying interactions , 2012 .
[21] Siwei Zhang. An R-package for the Estimation and Testing of Multiple Covariates and Biomarker Interactions for Survival Data Based on Local Partial Likelihood , 2016 .
[22] M. Sydes,et al. Practical methods for incorporating summary time-to-event data into meta-analysis , 2007, Trials.
[23] P. Dorman,et al. Carotid artery stenting compared with endarterectomy in patients with symptomatic carotid stenosis (International Carotid Stenting Study): an interim analysis of a randomised controlled trial , 2010, The Lancet.
[24] Paul H. C. Eilers,et al. Flexible smoothing with B-splines and penalties , 1996 .
[25] P. Royston,et al. Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling. , 1994 .
[26] Robert Gray,et al. Flexible Methods for Analyzing Survival Data Using Splines, with Applications to Breast Cancer Prognosis , 1992 .
[27] Ameet Bakhai,et al. Clinical Trials - A Practical Guide to Design, Analysis, and Reporting , 2006 .
[28] Brian T. Maurer. Regression. , 2020, JAAPA : official journal of the American Academy of Physician Assistants.
[29] L. Tian,et al. Analysis of randomized comparative clinical trial data for personalized treatment selections. , 2011, Biostatistics.
[30] James J. Chen,et al. Predictive biomarkers for treatment selection: statistical considerations. , 2015, Biomarkers in medicine.
[31] Xuming He,et al. Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model , 2015 .
[32] S. Pocock,et al. Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practiceand problems , 2002, Statistics in medicine.
[33] Willi Sauerbrei,et al. Interaction of treatment with a continuous variable: simulation study of power for several methods of analysis , 2014, Statistics in medicine.
[34] Jian Huang,et al. A Concave Pairwise Fusion Approach to Subgroup Analysis , 2015, 1508.07045.
[35] Patrick Royston,et al. Detecting an interaction between treatment and a continuous covariate: A comparison of two approaches , 2007, Comput. Stat. Data Anal..
[36] Association between age and risk of stroke or death from carotid endarterectomy and carotid stenting: a meta-analysis of pooled patient data from four randomised trials , 2016, The Lancet.
[37] Patrick Royston,et al. Interaction of treatment with a continuous variable: simulation study of significance level for several methods of analysis , 2013, Statistics in medicine.
[38] T. Friede,et al. Methods for identification and confirmation of targeted subgroups in clinical trials: A systematic review , 2016, Journal of biopharmaceutical statistics.
[39] W. Hacke,et al. Results of the Stent-Protected Angioplasty versus Carotid Endarterectomy (SPACE) study to treat symptomatic stenoses at 2 years: a multinational, prospective, randomised trial , 2008, The Lancet Neurology.
[40] M. Bonetti,et al. Patterns of treatment effects in subsets of patients in clinical trials. , 2004, Biostatistics.
[41] M. Bonetti,et al. A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data. , 2000, Statistics in medicine.
[42] S. Assmann,et al. Subgroup analysis and other (mis)uses of baseline data in clinical trials , 2000, The Lancet.