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Arinjita Bhattacharyya
Arinjita Bhattacharyya
Associate Principal Scientist, Merck, PhD Biostatistics, University of Louisville
Verified email at louisville.edu
Title
Cited by
Cited by
Year
Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model
A Bhattacharyya, T Chakraborty, SN Rai
Nonlinear Dynamics, 1-16, 2022
25*2022
Coronavirus (COVID-19): a systematic review and meta-analysis to evaluate the significance of demographics and comorbidities
A Bhattacharyya, A Seth, N Srivastava, M Imeokparia, S Rai
Research square, 2021
252021
Adaptive signature design-review of the biomarker guided adaptive phase–iii controlled design
A Bhattacharyya, SN Rai
Contemporary clinical trials communications 15, 100378, 2019
112019
Applications of Bayesian shrinkage prior models in clinical research with categorical responses
A Bhattacharyya, S Pal, R Mitra, S Rai
BMC Medical Research Methodology 22 (1), 126, 2022
102022
Theta autoregressive neural network: a hybrid time series model for pandemic forecasting
A Bhattacharyya, S Chattopadhyay, M Pattnaik, T Chakraborty
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
42021
The effects of long COVID-19, its severity, and the need for immediate attention: Analysis of clinical trials and Twitter data
A Bhattacharyya, A Seth, S Rai
medRxiv, 2022.09. 13.22279833, 2022
32022
The effects of long COVID-19, its severity, and the need for immediate attention: Analysis of clinical trials and Twitter data
A Bhattacharyya, A Seth, S Rai
Frontiers in Big Data, 2022.09. 13.22279833, 2022
32022
Safety and pharmacokinetics of islatravir in individuals with severe renal insufficiency
RP Matthews, Y Cao, M Patel, VL Weissler, A Bhattacharyya, ...
Antimicrobial Agents and Chemotherapy 66 (12), e00931-22, 2022
22022
Does Nature Have a Systematic Sex Bias: Prevalence, Mortality, and Trend of COVID-19
N Srivastava, A Bhattacharyya, A Seth, SN Rai
Annals of Public Health Reports 4 (1), 10.36959/856/508, 2020
22020
Bayesian Shrinkage Priors in Zero-Inflated and Negative Binomial Regression models with Real World Data Applications of COVID-19 Vaccine, and RNA-Seq
A Bhattacharyya, R Mitra, S Rai, S Pal
medRxiv, 2022
12022
Bayesian Decision‐Theoretic Methods for Survival Data using Stochastic Optimization
R Mitra, P Müller, A Bhattacharyya
Statistics in Medicine 39 (30), 4841-4852, 2020
12020
Coronavirus (COVID-19) Pandemic–A Comprehensive Review of Demographics, Comorbidities, Vaccines, Therapeutic Development, Blood Type, and Long Covid
A Bhattacharyya, A Seth, SN Rai
Ann Public Health Reports 7 (1), 308-322, 2023
2023
Count data models and Bayesian shrinkage priors with real-world data applications
A Bhattacharyya, R Mitra, S Rai
2022
Association of Vaccine Hesitancy with Demographics, and Mental Health–United States Household Pulse Survey Study
A Bhattacharyya, S Singh, S Sakshi, A Seth, SN Rai
medRxiv, 2022.04. 13.22273843, 2022
2022
The Effects of Long COVID-19, its Severity, and the Need for Immediate Attention: Analysis of Clinical Trials and Twitter data (preprint)
A Bhattacharyya, A Seth, S Rai
2022
Theta autoregressive neural network model for COVID-19 outbreak predictions (preprint)
T CHAKRABORTY, A Bhattacharyya, M Pattnaik
2020
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