Vikas Barnwal
Profiles

Vikas Barnwal

Postdoctoral Associate, Biostatistics - Boston University School of Public Health

(617) 358-2519
vksgic@bu.edu
Crosstown Center
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Biography

Vikas is currently working in Infectious Disease Modeling and Vaccine Efficacy with a PhD in Statistics from Banaras Hindu University, India. His research interest goes from time-to-event data analysis to longitudinal data analysis. During his doctoral studies, he engaged in diverse research areas such as survival analysis, statistical modelling, longitudinal data and Bayesian Inference.

Websites

Publications

  • Published on 1/3/2024

    MS Panwar, Vikas Barnwal, CP Yadav. A latent variable approach for modeling recall-based time-to-event data with Weibull distribution. Computational Statistics. 2024; 39:2343–2374.
  • Published on 12/15/2023

    Vikas Barnwal. Statistical Modelling and Analysis of Time-to-Event Data under Bayesian Paradigm. Varanasi. 2023.

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  • Published on 6/6/2023

    M. S. Panwar, Vikas Barnwal. Objective Bayesian analysis of Marshall-Olkin bivariate Weibull distribution with partial information. Communications in Statistics—Theory and Methods. 2023; 53(15).
  • Published on 7/4/2022

    Vikas Barnwal, M S Panwar. Competing risks analysis for dependent causes using Marshall-Olkin bivariate generalized lifetime family. Communications in Statistics—Theory and Methods. 2022; 53(4).

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