Dr. Atanu Bhattacharjee serves as an Academic Statistician at the University of Dundee, Scotland, specializing in medical statistics. His expertise encompasses survival analysis, competing risks, and high-dimensional data analysis. Dr. Bhattacharjee’s research revolves around advancing statistical methodologies for analyzing time-to-event data, particularly emphasizing competing risks and high-dimensional data. His contributions are evident through numerous publications in esteemed statistical journals. Additionally, Dr. Bhattacharjee has played a pivotal role in developing an R package tailored for conducting competing risks analysis and high dimensional data analysis.

• 1. Mediation Analysis. 2. Bayesian Mediation Analysis. 3. Parametric Survival Analysis. 4. Competing Risk Modelling. 5. Accelerated Failure Time Modelling. 6. Longitudinal Modelling. 7. High Dimensional Data Analysis. 8. Bayesian Survival Mediation Data Analysis. 9. Bayesian Accelerated Failure Time Mediation Data Analysis. 10. Bayesian Competing Risk Mediation Data Analysis.

Dr. Atanu Bhattacharjee serves as an Academic Statistician at the University of Dundee, Scotland, specializing in medical statistics. His expertise encompasses survival analysis, competing risks, and high-dimensional data analysis. Dr. Bhattacharjee’s research revolves around advancing statistical methodologies for analyzing time-to-event data, particularly emphasizing competing risks and high-dimensional data. His contributions are evident through numerous publications in esteemed statistical journals. Additionally, Dr. Bhattacharjee has played a pivotal role in developing an R package tailored for conducting competing risks analysis and high dimensional data analysis.

• 1. Mediation Analysis. 2. Bayesian Mediation Analysis. 3. Parametric Survival Analysis. 4. Competing Risk Modelling. 5. Accelerated Failure Time Modelling. 6. Longitudinal Modelling. 7. High Dimensional Data Analysis. 8. Bayesian Survival Mediation Data Analysis. 9. Bayesian Accelerated Failure Time Mediation Data Analysis. 10. Bayesian Competing Risk Mediation Data Analysis.

Dr. Atanu Bhattacharjee serves as an Academic Statistician at the University of Dundee, Scotland, specializing in medical statistics. His expertise encompasses survival analysis, competing risks, and high-dimensional data analysis. Dr. Bhattacharjee’s research revolves around advancing statistical methodologies for analyzing time-to-event data, particularly emphasizing competing risks and high-dimensional data. His contributions are evident through numerous publications in esteemed statistical journals. Additionally, Dr. Bhattacharjee has played a pivotal role in developing an R package tailored for conducting competing risks analysis and high dimensional data analysis.

• 1. Mediation Analysis. 2. Bayesian Mediation Analysis. 3. Parametric Survival Analysis. 4. Competing Risk Modelling. 5. Accelerated Failure Time Modelling. 6. Longitudinal Modelling. 7. High Dimensional Data Analysis. 8. Bayesian Survival Mediation Data Analysis. 9. Bayesian Accelerated Failure Time Mediation Data Analysis. 10. Bayesian Competing Risk Mediation Data Analysis.