Checking the linear transformation model for clustered failure time observations.
The linear transformation model is a semiparametric model which contains the Cox proportional hazards model and the proportional odds model as special cases. Cai et al. (Biometrika 87:867-878, 2000) have proposed an inference procedure for the linear transformation model with correlated censored observations. In this article, we develop formal and graphical model checking techniques for the linear transformation models based on cumulative sums of martingale-type residuals. The proposed method is illustrated with a clinical trial data.
Hattori
Satoshi
S
The Biostatistics Center, Kurume University, 67 Asahi-Machi, Kurume City, Fukuoka 830-0011, Japan. hattori_satoshi@med.kurume-u.ac.jp
D002986:Clinical Trials as Topic / Q000379:methods; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D003930:Diabetic Retinopathy / Q000628:therapy; D006801:Humans; D008028:Light Coagulation; D016014:Linear Models; D016016:Proportional Hazards Models; D018401:Sample Size; D016019:Survival Analysis