Publications

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Displaying 1 through 22 of 22 publications.

Freed SS, Jones KA, Whitaker RG, Norman K, Carvalho M, Giri A, Lake A, Tchuisseu YP, Repka S, Vasudeva K, Bey N, Bettger JP. Evaluating telehealth uptake among North Carolina Medicaid beneficiaries with musculoskeletal conditions: insights from the COVID-19 pandemic. Med Care. 2023 Nov 1;61(11):750-9. doi: 10.1097/MLR.0000000000001915

Pajouheshnia R, van Smeden M, Peelen LM, Groenwold RHH. Variation in the measurement of predictors affects the discriminative ability and transportability of a prediction model. Presented at the Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers (MEMTAB) 2018 Symposium; July 2, 2018. Utrecht, The Netherlands. [abstract] Diagn Progn Res. 2018 Jul 2; 2(Suppl 1):40. doi: 10.1186/s41512-018-0036-3

Damen JAAG, Debray TPA, Pajouheshnia R, Reitsma JB, Scholten RJPM, Moons KGM, Hooft L. Empirical evidence on the impact of study characteristics on the performance of prognostic models: a meta-epidemiological study. Presented at the Methods for Evaluation of Medical Prediction Models, Tests and Biomarkers (MEMTAB) 2018 Symposium; July 2, 2018. Utrecht, The Netherlands. [abstract] Diagn Progn Res. 2018 Jul 2; 2(Suppl 1):29-30. doi: 10.1186/s41512-018-0036-3

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

Fischer A, Zimovetz E, Ling C, Esser D, Shoof N. Humanistic and cost burden of systemic sclerosis: a review of the literature. Autoimmun Rev. 2017 Nov;16(11):1147-54. doi: 10.1016/j.autrev.2017.09.010

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

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

Wheeler SB, Kohler RE, Goyal RK, Lich KH, Lin CC, Moore A, Smith TW, Melvin CL, Reeder-Hayes K, Domino ME. Is medical home enrollment associated with receipt of guideline-concordant follow-up care among low-income breast cancer survivors? Med Care. 2013 Jun;51(6):494-502.

Schneeweiss S, Patrick AR, Sturmer T, Brookhart MA, Avorn J, Maclure M, Rothman KJ, Glynn RJ. Increasing levels of restriction in pharmacoepidemiologic database studies of elderly and comparison with randomized trial results. Med Care. 2007 Oct 1;45(10 - Suppl 2):S131-42.

Sturmer T, Glynn RJ, Rothman KJ, Avorn J, Schneeweiss S. Adjustments for unmeasured confounders in pharmacoepidemiologic database studies using external information. Med Care. 2007 Oct 1;45(10 - Suppl 2):S158-65.

Bray JW, Zarkin GA, Davis KL, Mitra D, Higgins-Biddle JC, Babor TF. The effect of screening and brief intervention for risky drinking on health care utilization in managed care organizations. Med Care. 2007 Feb 28;45(2):177-82.

Harris-Kojetin LD, Fowler FJ, Brown JA, Schnaier JA, Sweeny SF. The use of cognitive testing to develop and evaluate CAHPS 1.0 core survey items. Consumer Assessment of Health Plans Study. Med Care. 1999 Mar 1;37(3 Suppl):MS10-21.

Hays RD, Shaul JA, Williams VS, Lubalin JS, Harris-Kojetin LD, Sweeny SF, Cleary PD. Psychometric properties of the CAHPS 1.0 survey measures. Consumer Assessment of Health Plans Study. Med Care. 1999 Mar 1;37(3 Suppl):MS22-31.

Schnaier JA, Sweeny SF, Williams VS, Kosiak B, Lubalin JS, Hays RD, Harris-Kojetin LD. Special issues addressed in the CAHPS survey of Medicare managed care beneficiaries. Consumer Assessment of Health Plans Study. Med Care. 1999 Mar 1;37(3 Suppl):MS69-78.