Publications

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Displaying 51 through 60 of 60 publications.

Pajouheshnia R, Schuster NA, Moons KGM, Rutten FH, Groenwold RHH, Peelen LM. Accounting for time-varying treatments when developing a prognostic model: a case study in patients treated with betablockers. Poster presented at the Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers (MEMTAB) 2018 Symposium; July 2018. Utrecht, Netherlands. [abstract] Diagn Progn Res. 2018 Jul; 2(Supp1):28-9. doi: 10.1186/s41512-018-0036-3

Pajouheshnia R, Damen JAAG, Groenwold RHH, Moons KGM, Peelen LM. Treatment use in prognostic model research: a systematic review of cardiovascular prognostic studies. Diagn Progn Res. 2017 Sep 26;1:15. doi: 10.1186/s41512-017-0015-0

Pajouheshnia R, Peelen LM, Moons KGM, Reitsma JB, Groenwold RHH. Accounting for treatment use when validating a prognostic model: a simulation study. BMC Med Res Methodol. 2017 Jul 14;17(1):103. doi: 10.1186/s12874-017-0375-8

Heus P, Damen JAAG, Pajhouheshnia R, Scholten RJPM, Reitsma JM, Collins GS, Altman DG, Moons KGM, Hooft L. More than half of the TRIPOD items are inadequately reported in prediction modelling studies. Poster presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; July 19, 2016. Birmingham, UK. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):27. doi: 10.1186/s41512-016-0001-y

Pajouheshnia R, Groenwold R, Moons K, Reitsma J, Peelen L. The effects of treatment use when externally validating a prediction model that did not include treatment as predictor. Presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; February 2016. Birmingham, United Kingdom. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):12. doi: 10.1186/s41512-016-0001-y

Pajouheshnia R, Damen J, Groenwold R, Moons K, Peelen L. How treatment use is addressed in prognostic research: a systematic review. Poster presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; July 19, 2016. Birmingham, UK. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):19. doi: 10.1186/s41512-016-0001-y

Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM. Design characteristics of external validation studies influencing the performance of risk prediction models. Poster presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; July 2016. Birmingham, UK. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):21. doi: 10.1186/s41512-016-0001-y

Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM. Performance of the Framingham risk models and pooled cohort equations for the prediction of cardiovascular disease in the general population: a meta-analysis. Poster presented at the Methods for Evaluating Medical Tests and Biomarkers 2016 Symposium; July 19, 2016. Birmington, UK. [abstract] Diagn Progn Res. 2017 Feb 16; 1(Suppl 1):20-1. doi: 10.1186/s41512-016-0001-y

Groenwold RHH, Moons KGM, Pajouheshnia R, Altman DG, Collins GS, Debray TPA, Reitsma JB, Riley RD, Peelen LM. Explicit inclusion of treatment in prognostic modeling was recommended in observational and randomized settings. J Clin Epidemiol. 2016 Oct;78:90-100. doi: 10.1016/j.jclinepi.2016.03.017

Pajouheshnia R, Pestman WR, Teerenstra S, Groenwold RHH. A computational approach to compare regression modelling strategies in prediction research. BMC Med Res Methodol. 2016 Aug 25;16(1):107. doi: 10.1186/s12874-016-0209-0