Subpopulation Treatment Effect Pattern Plot (STEPP) analysis for continuous, binary, and count outcomes

Identifying treatment effect heterogeneity in clinical trials using subpopulations of events: STEPP

(2015) Ann A Lazar et al.   Clinical Trials

Predicting Degree of Benefit From Adjuvant Trastuzumab in NSABP Trial B-31

(2013) Katherine L. Pogue-Geile et al.   JNCI-Journal of the National Cancer Institute

Subgroup identification from randomized clinical trial data

(2011) Jared C. Foster et al.   STATISTICS IN MEDICINE

Evaluation of Treatment-Effect Heterogeneity Using Biomarkers Measured on a Continuous Scale: Subpopulation Treatment Effect Pattern Plot

(2010) Ann A. Lazar et al.   JOURNAL OF CLINICAL ONCOLOGY

A small sample study of the STEPP approach to assessing treatment-covariate interactions in survival data

(2009) Marco Bonetti et al.   STATISTICS IN MEDICINE

Prognostic and Predictive Value of Centrally Reviewed Ki-67 Labeling Index in Postmenopausal Women With Endocrine-Responsive Breast Cancer: Results From Breast International Group Trial 1-98 Comparing Adjuvant Tamoxifen With Letrozole

(2008) Giuseppe Viale et al.   JOURNAL OF CLINICAL ONCOLOGY