Vikas Barnwal, PhD Hear my name
Postdoctoral Associate
Boston University School of Public Health
Biostatistics




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.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. 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.
  2. Vikas Barnwal. Statistical Modelling and Analysis of Time-to-Event Data under Bayesian Paradigm. Varanasi. 2023. View Publication
  3. 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).
  4. 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).

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 4 publications over 3 distinct years, with a maximum of 2 publications in 2023

YearPublications
20221
20232
20241

In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Infectious Diseases
Biostatistics
Bayesian Analysis
Longitudinal Studies
Prostate Cancer
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715 Albany St
Boston MA 02118
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