| rolr {rolr} | R Documentation |
rolr: A package for computing optimal three-group splits based on a continuous covariate and a survival outcome using ordered logrank tests (OLR)
Description
The rolr package provides three main functions, rsolr12,
rmolr, and rhier, for fast computation of
three-group optimal cutpoints using two simple OLR tests, a
modified OLR test, and a hierarchical method, respectively.
Author(s)
Pingping Qu and John Crowley
References
Crowley J., Mitchell A., Qu P., Morgan G. and Barlogie B. Optimal three group splits based on a survival outcome. In: Frontiers of Biostatistical Methods and Applications in Clinical Oncology, 2017.
Liu P. Y. and Tsai W. Y. A modified logrank test for censored survival data under order restrictions. Statistics and probablility Letters 41:57-63, 1999.
Liu P. Y., Tsai W. Y. and Wolf, M. Design and analysis for survival data under order restrictions with a modified logrank test. Statistics in medicine 17:1469-1479, 1998.
Crowley J., LeBlanc M., Gentleman R. and Salmon, S. Exploratory methods in survival analysis. In: IMS Laecture Notes 27:55-77, 1995.
LeBlanc M. and Crowley J. Survival trees by goodness of split. Journal of the American Statistical Association 88:457-467, 1993.
Liu P. Y., Greeen S., Wolf M. and Crowley J. Testing against ordered alternatives for censored survival data. Journal of the American Statistical Association 88:163-160, 1993.
Crowley J. Some extensions of the logrank test. In: Medical Informatics. D. A. B. Lindberg and P. L. Reicherts, Eds. Lecture Notes 4:213-223, 1979.