Lognormal lifetimes and likelihood-based inference for flexible cure rate models based on COM-Poisson family. - N. Balakrishnan 002; Suvra Pal (Comput. Stat. Data Anal., 2013)

An EM algorithm for the estimation of parameters of a flexible cure rate model with generalized gamma lifetime and model discrimination using likelihood- and information-based methods. - N. Balakrishnan 002; Suvra Pal (Comput. Stat., 2015)

Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data. - Suvra Pal; N. Balakrishnan 002 (Comput. Stat., 2017)

Likelihood inference based on EM algorithm for the destructive length-biased Poisson cure rate model with Weibull lifetime. - Suvra Pal; Narayanaswamy Balakrishnan 001 (Commun. Stat. Simul. Comput., 2018)

Expectation Maximization Algorithm for Box-Cox Transformation Cure Rate Model and Assessment of Model Misspecification Under Weibull Lifetimes. - Suvra Pal; Narayanaswamy Balakrishnan 001 (IEEE J. Biomed. Health Informatics, 2018)

On some inferential issues for the destructive COM-Poisson-generalized gamma regression cure rate model. - Jacob Majakwara; Suvra Pal (Commun. Stat. Simul. Comput., 2019)

A new non-linear conjugate gradient algorithm for destructive cure rate model and a simulation study: illustration with negative binomial competing risks. - Suvra Pal; Souvik Roy (Commun. Stat. Simul. Comput., 2022)

A destructive shifted Poisson cure model for interval censored data and an efficient estimation algorithm. - Jodi Treszoks; Suvra Pal (Commun. Stat. Simul. Comput., 2024)

A new approach to modeling the cure rate in the presence of interval censored data. - Suvra Pal; Yingwei Peng; Wisdom Aselisewine (Comput. Stat., 2024)

Enhancing cure rate analysis through integration of machine learning models: a comparative study. - Wisdom Aselisewine; Suvra Pal (Stat. Comput., 2024)

Likelihood inference for unified transformation cure model with interval censored data. - Jodi Treszoks; Suvra Pal (Comput. Stat., 2025)

Scale-mixture Birnbaum-Saunders quantile regression models applied to personal accident insurance data. - Alan Dasilva; Helton Saulo; Roberto Vila; Suvra Pal (Comput. Appl. Math., 2025)

A new cure rate model with discrete and multiple exposures. - Suvra Pal (Commun. Stat. Simul. Comput., 2025)

A Neural Network Integrated Accelerated Failure Time-Based Mixture Cure Model. - Wisdom Aselisewine; Suvra Pal (Stat. Comput., 2025)