Bayesian survival analysis for early detection of treatment effects in phase 3 clinical trials
Sign Up to like & getrecommendations! Published in 2021 at "Contemporary Clinical Trials Communications"
DOI: 10.1016/j.conctc.2021.100709
Abstract: Despite appealing characteristics for the clinical trials setting, Bayesian inference methods remain scarcely used, especially in randomized controlled clinical trials (RCT). This is particularly true when dealing with a survival endpoint, likely due to the… read more here.
Keywords: sequential analyses; bayesian survival; treatment; clinical trials ... See more keywords
Bayesian survival analysis using gamma processes with adaptive time partition
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2021.1912752
Abstract: In Bayesian semi-parametric analyses of time-to-event data, non-parametric process priors are adopted for the baseline hazard function or the cumulative baseline hazard function for a given finite partition of the time axis. However, it would… read more here.
Keywords: bayesian survival; time; survival analysis; partition ... See more keywords
Bayesian Survival Analysis for Generalized Pareto Distribution Under Progressively Type II Censored Data
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Reliability, Quality and Safety Engineering"
DOI: 10.1142/s0218539320500011
Abstract: In this paper, based on the progressively type II censoring data of generalized Pareto distribution, we consider the maximum likelihood estimation and asymptotic interval estimations of survival function and hazard function by using the Fisher… read more here.
Keywords: bayesian survival; generalized pareto; pareto distribution; progressively type ... See more keywords
Inference on COVID-19 Epidemiological Parameters Using Bayesian Survival Analysis
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DOI: 10.3390/e23101262
Abstract: The need to provide accurate predictions in the evolution of the COVID-19 epidemic has motivated the development of different epidemiological models. These models require a careful calibration of their parameters to capture the dynamics of… read more here.
Keywords: covid epidemiological; inference covid; survival analysis; bayesian survival ... See more keywords