Vikas BarnwalBoston University | BU · Department of Biostatistics
Vikas Barnwal
PhD in Statistics
Working in the field of Infectious Disease Modelling and Vaccine Efficacy
About
3
Publications
646
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7
Citations
Introduction
Vikas Barnwal is currently working in the field of Infectious Disease Modeling, Competing Risks, Longitudinal Data and Objective Bayesian.
Education
December 2018 - December 2023
July 2016 - June 2018
July 2012 - June 2015
Publications
Publications (3)
The ability of individuals to recall events is influenced by the time interval between the monitoring time and the occurrence of the event. In this article, we introduce a non-recall probability function that incorporates this information into our modeling framework. We model the time-to-event using the Weibull distribution and adopt a latent varia...
In competing risks problem, a subset of risks is needed more attention for inferential purposes. In the objective Bayesian paradigm, reference priors enable to achieve such inferential objectives. In this article, the Marshall-Olkin bivariate Weibull distribution is considered to model the competing risks data. In the availability of partial inform...
The assumption of independence of causes for modeling a competing risks scenario is not presumable always. In this paper, cause dependent competing risks model has been analyzed under Marshall-Olkin set-up. A Marshall-Olkin generalized lifetime distribution has been established to address a competing risks model. The essential statistical propertie...
Questions
Question (1)
In case of right censoring, total time on test is simply given by the time up to which the subject is in the test. But for a left censored unit, what will be the time to be considered for that unit to be in the test as the unit is already failed before the experiment begin?
