Literature DB >> 17250925

LSS: an S-Plus/R program for the accelerated failure time model to right censored data based on least-squares principle.

Lin Huang1, Zhezhen Jin.   

Abstract

Due to lack of proper inference procedure and software, the ordinary linear regression model is seldom used in practice for the analysis of right censored data. This paper presents an S-Plus/R program that implements a recently developed inference procedure [Z. Jin, D.Y. Lin, Z. Ying, On least-squares regression with censored data, Biometrika 93 (2006) 147-161] for the accelerated failure time model based on the least-squares principle. The program is user-friendly and yields outputs similar to S-Plus/R function 1m.

Mesh:

Year:  2007        PMID: 17250925     DOI: 10.1016/j.cmpb.2006.12.005

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  4 in total

1.  Semiparametric Accelerated Failure Time Partial Linear Model and Its Application to Breast Cancer.

Authors:  Yubo Zou; Jiajia Zhang; Guoyou Qin
Journal:  Comput Stat Data Anal       Date:  2011-03-01       Impact factor: 1.681

2.  Considerations in the statistical analysis of hemodialysis patient survival.

Authors:  Christos Argyropoulos; Chung-Chou H Chang; Laura Plantinga; Nancy Fink; Neil Powe; Mark Unruh
Journal:  J Am Soc Nephrol       Date:  2009-07-30       Impact factor: 10.121

3.  Application of Correlated Time-to-Event Models to Ecological Momentary Assessment Data.

Authors:  Emily A Scherer; Lin Huang; Lydia A Shrier
Journal:  Psychometrika       Date:  2016-04-04       Impact factor: 2.500

4.  On two-stage estimation of structural instrumental variable models.

Authors:  Byeong Yeob Choi; Jason P Fine; M Alan Brookhart
Journal:  Biometrika       Date:  2017-10-26       Impact factor: 3.028

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.