LSS: An S-Plus/R program for the accelerated failure time model to right censored data based on least-squares principle. 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.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Scherer, Emily A.; Huang, Lin; Shrier, Lydia A.: Application of correlated time-to-event models to ecological momentary assessment data (2017)
- Sy Chiou; Sangwook Kang; Jun Yan: Fitting Accelerated Failure Time Models in Routine Survival Analysis with R Package aftgee (2014) not zbMATH
- Keiding, Niels; Hansen, Oluf K. Højbjerg; Sørensen, Ditte Nørbo; Slama, Rémy: The current duration approach to estimating time to pregnancy (2012)
- Huang, Lin; Jin, Zhezhen: LSS: An s-plus/R program for the accelerated failure time model to right censored data based on least-squares principle. (2007) ioport