Md Tuhin Sheikh

Md Tuhin Sheikh

Postdoctoral Associate, Department of Biostatistics, Yale University

Talks/Presentation

  • “A Semicompeting Risks Model with an Application to UK Biobank Data to Identify Risk Factors for Diabetes Onset and Progression”, ENAR 2024, Mar 10 - 13, 2024.

  • “New Bayesian C-indices for Assessing Importance of Longitudinal Biomarkers in Fitting Competing Risks Survival Data in the Presence of Partially Masked Causes”, ENAR 2022, Mar 27 - 30, 2022.

  • “A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data within the Joint Modeling Framework”, EAC-ISBA 2021 Meeting, November 16 - 18, 2021.

  • “New Bayesian C-indices for Assessing Importance of Longitudinal Biomarkers in Fitting Competing Risks Survival Data in the Presence of Partially Masked Causes”, NESS 2021, Sep 30 – Oct 2, 2021.

  • “A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data within the Joint Modeling Framework”, ISBA 2021 Virtual Meeting, June 23 – July 2, 2021.

  • “A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data within the Joint Modeling Framework”, Pharma-Stat Virtual Meeting, March 27, 2021, organized by the Department of Statistics, UConn.

  • “Joint Modelling of Longitudinal and Survival Data in the Presence of Competing Risks with Applications to Prostate Cancer Data”, ENAR Virtual Spring Meeting 2021, March 14–17, 2021.

  • “Optimized Interim Futility Decision Making for Early Phase Clinical Trials with Binary Endpoint using Bayesian Predictive Probability of Failure”, Biostatistics and Data Science Intern Presentation, Boehringer Ingelheim, August 10, 2020.

  • “A comprehensive analysis of trends and determinants of HIV/AIDS knowledge among the Bangladeshi women based on Bangladesh Demographic and Health Surveys, 2007–2014”, Symposium on Data Science & Statistics, May 16–19, 2018

  • “Standard Error Estimation of Joint Model for Longitudinal and Survival Outcomes”, International Conference on Statistics, 27–29 December, 2014.

  • “Joint Modeling of Longitudinal and Survival Outcome with Applications to Diabetes Data”, International Conference on Applied Statistics, 27–29 December, 2014.