The models for the data considered as TTE and the model for the data considered as count are equivalent.Note that when defining a TTE model, it is the hazard that must be defined. When defining the count model, we define the pdf. Thus,considering the data as count can also be used to...
Parametric modelsrequire to fully specify the hazard function. If a good model can be found, statistical tests are more powerful than for semi-parametric models. In addition, there is no restrictions on how the covariates affects the hazard. Parametric models can also be easily used for predictio...
The chapter discusses parametric models, which utilize the assumed distribution of the survival times under study, as alternatives to the semi-parametric Cox regression model. In addition there are situations in which covariates, usually first determined at the commencement of a survival-time study, ...
Among the topics are parametric methods, inferential methods for categorical time-to-event endpoints, an efficient alternative to the Cox model for small trials, the design and analysis of analgesic trials, antiviral trials, parametric likelihoods for multiple nonfatal competing risks and death, and ...
Gender and WHO stage were found to be significantly associated with the composite of unfavourable outcomes, HR = 1.56, 95% CI:1.27–1.90, HR = 1.28, 95% CI: 1.06–1.55 for males and WHO stage III-or-IV, respectively for the non-CSH model. Conclusions Results show that WHO stage III-...
but the time-to-event model still performed better than the linear model and GLM, and this is noteworthy. The estimated effect was much less affected by capping with the time-to-event model compared to the other two methods; this offers a considerable practical advantage in studies where parti...
When time to event outcomes are present, the analysis is performed generally resorting to predicted values from Cox regression model. It is now possible to resort to more general regression models, adopting suitable link functions and pseudo values for estimation, to obtain alternative measures of ...
Our proposed joint model estimators are approximately unbiased and produce smaller mean squared errors as compared to the estimators obtained from separate models. This work is motivated by a large multicenter study, referred to as the Genetic and Inflammatory Markers of Sepsis (GenIMS) study. We ...
From: Competing risks multi-state model for time-to-event data analysis of HIV/AIDS: a retrospective cohort national datasets, Ethiopia Original Submission 29 Jul 2024 Submitted Original manuscript Resubmission - Version 2 Submitted Manuscript version 2 6 Aug 2024 Author responded Author comments - Ts...
To address this, we propose a functional causal framework including a functional accelerated failure time (FAFT) model and three causal effect estimation approaches. The regression adjustment approach is based on conditional FAFT with subsequent confounding marginalization, while the functional-inverse-...