S
Subrata Rana
Researcher at University of Calcutta
Publications - 4
Citations - 9
Subrata Rana is an academic researcher from University of Calcutta. The author has contributed to research in topics: Missing data & Markov chain Monte Carlo. The author has an hindex of 2, co-authored 4 publications receiving 9 citations.
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Analysis of ordinal longitudinal data under nonignorable missingness and misreporting: An application to Alzheimer’s disease study
TL;DR: The investigation reveals that apolipo-protein plays a significant role in Alzheimer's disease progression, and Monte Carlo expectation–maximization (MCEM) is a convenient approach for estimating the parameters in the model.
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Clustered data analysis under miscategorized ordinal outcomes and missing covariates
TL;DR: The primary objective in this article is to look into the analysis of clustered ordinal model where complete information on one or more covariates cease to occur and is capable of tackling additional noises like miscategorization and missingness, which occur in the data most frequently.
Journal ArticleDOI
On analyzing ordinal data when responses and covariates are both missing at random.
TL;DR: A joint model is developed to take into account simultaneously the association between the ordinal response variable and covariates and also that between the missing data indicators to account for both missing responses and missing covariates.
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Evaluation of Alzheimer's disease progression based on clinical dementia rating scale with missing responses and covariates.
TL;DR: The study reveals that apolipo-protein plays a significant role in assessing a patient’s disease severity, and combines the cumulative logit longitudinal model for Alzheimer's disease progression with the bivariate binary model for the missing pattern to develop a joint likelihood.