| Robustness of individual and marginal model-based estimates: A sensitivity analysis of flexible parametric models E Syriopoulou, SI Mozumder, MJ Rutherford, PC Lambert Cancer epidemiology 58, 17-24, 2019 | 54 | 2019 |
| Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome RD Riley, GS Collins, J Ensor, L Archer, S Booth, SI Mozumder, ... Statistics in medicine 41 (7), 1280-1295, 2022 | 49 | 2022 |
| A flexible parametric competing-risks model using a direct likelihood approach for the cause-specific cumulative incidence function SI Mozumder, MJ Rutherford, PC Lambert The Stata Journal 17 (2), 462-489, 2017 | 45 | 2017 |
| Direct likelihood inference on the cause‐specific cumulative incidence function: a flexible parametric regression modelling approach SI Mozumder, M Rutherford, P Lambert Statistics in medicine 37 (1), 82-97, 2018 | 33 | 2018 |
| Estimating restricted mean survival time and expected life-years lost in the presence of competing risks within flexible parametric survival models SI Mozumder, MJ Rutherford, PC Lambert BMC medical research methodology 21, 1-20, 2021 | 27 | 2021 |
| InterPreT cancer survival: A dynamic web interactive prediction cancer survival tool for health-care professionals and cancer epidemiologists SI Mozumder, PW Dickman, MJ Rutherford, PC Lambert Cancer epidemiology 56, 46-52, 2018 | 14 | 2018 |
| Conditional crude probabilities of death for English cancer patients KF Wong, PC Lambert, SI Mozumder, J Broggio, MJ Rutherford British journal of cancer 121 (10), 883-889, 2019 | 13 | 2019 |
| Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv E Syriopoulou, SI Mozumder, MJ Rutherford, PC Lambert BMC medical research methodology 22 (1), 226, 2022 | 12 | 2022 |
| Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time S Booth, SI Mozumder, L Archer, J Ensor, RD Riley, PC Lambert, ... Statistics in Medicine 42 (27), 5007-5024, 2023 | 2 | 2023 |
| Development of Flexible Parametric Models for Competing Risks and Tools to Facilitate in the Understanding and Communication of Cancer Survival S Islam University of Leicester, 2018 | 1 | 2018 |
| Assessment of prognostic model performance in the presence of competing risks using a cause-specific hazards approach S Mozumder, S Booth, RD Riley, MJ Rutherford, PC Lambert | | 2023 |
| STPM2CR: Stata module to estimate flexible parametric competing risks regression models S Islam, P Lambert, M Rutherford Boston College Department of Economics, 2021 | | 2021 |
| Analysing time-to-event data in the presence of competing risks within the flexible parametric modelling framework. What tools are available in Stata, which one to use and when? SI Mozumder London Stata Conference 2018, 2018 | | 2018 |
| stpm2cr: A Stata module for direct likelihood inference on the cause-specific cumulative incidence function within the flexible parametric modeling framework S Islam, P Lambert, M Rutherford United Kingdom Stata Users' Group Meetings 2016, 2016 | | 2016 |
| Flexible parametric survival models for registry data: How much freedom do we have in selecting the degrees of freedom? E Syriopoulou, MJ Rutherford, S Islam, PC Lambert Survival, 2016 | | 2016 |
| An Online Interactive Prediction Tool to Improve the Understanding of Cancer Survival Statistics SI Mozumder, PW Dickman, MJ Rutherford, PC Lambert | | |
