The Cox proportional hazards model (CPH) is normally applied in clinical trial data analysis, but it can generate severe problems with breaking the proportion hazard assumption. An accelerated failure time (AFT) is consid-ered as an alternative to the proportional hazard model. The model can be used through consideration of dierent covariates of interest and random ef- fects in each section. The model is simple to t by using OpenBugs software and is revealed to be a good t to the Chemotherapy data
The proportional hazard (PH) model and its extension are used comprehensively to assess the effect o...
The accelerated failure time model is widely used for analyzing censored survival times often observ...
SUMMARY. Some failure time data come from a population that consists of some subjects who are suscep...
The proportional hazards model for survival time data usually assumes that the covariates of interes...
Comparison of treatments is a frequently used phenomenon in clinical studies. Accelerated failure ti...
In randomized clinical trials, when the outcome of interest is time-to-event, Cox’s proportional haz...
Abstract: A Bayesian approach is proposed for an accelerated failure time model with interval-censor...
The field of survival analysis has experienced tremendous growth during the latter half of the 20th ...
This work deals with Bayesian inference for Cox's proportional hazards model. After a brief introduc...
Master of ArtsDepartment of StatisticsPaul NelsonThere are two important statistical models for mult...
The accelerated failure time (AFT) model is a useful alternative to the proportional hazard model fo...
DISS_para\u3eIn many medical problems that collect multiple observations per subject, the time to an...
Survival analysis is a set of methods for statistical inference concerning the time until the occurr...
In the analysis of survival data, it is usually assumed that any unit will experience the event of i...
Abstract: Accelerated Failure Time (AFT) models can be used for the analysis of time to event data t...
The proportional hazard (PH) model and its extension are used comprehensively to assess the effect o...
The accelerated failure time model is widely used for analyzing censored survival times often observ...
SUMMARY. Some failure time data come from a population that consists of some subjects who are suscep...
The proportional hazards model for survival time data usually assumes that the covariates of interes...
Comparison of treatments is a frequently used phenomenon in clinical studies. Accelerated failure ti...
In randomized clinical trials, when the outcome of interest is time-to-event, Cox’s proportional haz...
Abstract: A Bayesian approach is proposed for an accelerated failure time model with interval-censor...
The field of survival analysis has experienced tremendous growth during the latter half of the 20th ...
This work deals with Bayesian inference for Cox's proportional hazards model. After a brief introduc...
Master of ArtsDepartment of StatisticsPaul NelsonThere are two important statistical models for mult...
The accelerated failure time (AFT) model is a useful alternative to the proportional hazard model fo...
DISS_para\u3eIn many medical problems that collect multiple observations per subject, the time to an...
Survival analysis is a set of methods for statistical inference concerning the time until the occurr...
In the analysis of survival data, it is usually assumed that any unit will experience the event of i...
Abstract: Accelerated Failure Time (AFT) models can be used for the analysis of time to event data t...
The proportional hazard (PH) model and its extension are used comprehensively to assess the effect o...
The accelerated failure time model is widely used for analyzing censored survival times often observ...
SUMMARY. Some failure time data come from a population that consists of some subjects who are suscep...