R. (Romin) Pajouheshnia

 
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R. (Romin) Pajouheshnia

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Publicaties

2021

Wetenschappelijke publicaties

Hunt, N. B., Gardarsdottir, H., Bazelier, M. T., Klungel, O. H., & Pajouheshnia, R. (2021). A Systematic Review of How Missing Data are Handled and Reported in Multi-Database Pharmacoepidemiologic studies. Pharmacoepidemiology and Drug Safety, 30(7), 819-826. https://doi.org/10.1002/pds.5245

2020

Wetenschappelijke publicaties

Wen, X., Van der Laan, M., Wyss, R., Platt, R. W., Pajouheshnia, R., & Schneeweiss, S. (2020). ICPE All Access conference abstracts: Machine learning to optimize and automate confounding control in studies using high‐dimensional healthcare data. Pharmacoepidemiology and Drug Safety, 29(S3), [4395].
van den Dries, C. J., van Doorn, S., Souverein, P., Pajouheshnia, R., Moons, K. G. M., Hoes, A. W., Geersing, G-J., & van den Ham, H. A. (2020). The Number of Concomitant Drugs and the Safety of Direct Oral Anticoagulants in Routine Care Patients with Atrial Fibrillation. TH Open: Companion Journal to Thrombosis and Haemostasis, 4(4), e417-e426. https://doi.org/10.1055/s-0040-1721499
Gemmeke, M., Koster, E. S., Pajouheshnia, R., Kruijtbosch, M., Taxis, K., & Bouvy, M. L. (2020). Using pharmacy dispensing data to predict falls in older individuals. British Journal of Clinical Pharmacology. https://doi.org/10.1111/bcp.14506
Ilomäki, J., Bell, J. S., Chan, A. Y. L., Tolppanen, A. M., Luo, H., Wei, L., Lai, E. C. C., Shin, J. Y., De Paoli, G., Pajouheshnia, R., Ho, F. K., Reynolds, L., Lau, K. K., Crystal, S., Lau, W. C. Y., Man, K. K. C., Brauer, R., Chan, E. W., Shen, C. Y., ... Wong, I. C. K. (2020). Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN). CNS Drugs, 34(9), 897-913. https://doi.org/10.1007/s40263-020-00742-4

2019

Wetenschappelijke publicaties

Damen, J. A., Pajouheshnia, R., Heus, P., Moons, K. G. M., Reitsma, J. B., Scholten, R. J. P. M., Hooft, L., & Debray, T. P. A. (2019). Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis. BMC Medicine, 17(1), 109. https://doi.org/10.1186/s12916-019-1340-7
Heus, P., Damen, J. A. A. G., Pajouheshnia, R., Scholten, R. J. P. M., Reitsma, J. B., Collins, G. S., Altman, D. G., Moons, K. G. M., & Hooft, L. (2019). Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies. BMJ Open, 9(4), e025611. https://doi.org/10.1136/bmjopen-2018-025611
Pajouheshnia, R., Groenwold, R. H. H., Peelen, L. M., Reitsma, J. B., & Moons, K. G. M. (2019). When and how to use data from randomised trials to develop or validate prognostic models. British Medical Journal, 365, [l2154]. https://doi.org/10.1136/bmj.l2154
Pajouheshnia, R., Gardarsdottir, H., Platt, R., Toh, D., & Klungel, O. (2019). Analysis of data from distributed pharmacoepidemiologic networks. Pharmacoepidemiology and Drug Safety, 28(S2), 414. https://doi.org/10.1002/pds.4864
Pajouheshnia, R., Schuster, N., Groenwold, R. H. H., Rutten, F., Moons, K. G. M., & Peelen, L. M. (2019). Accounting for time‐dependent treatment use when developing a prognostic model from observational data: A review of methods. Statistica Neerlandica, 74(1), 38-51. https://doi.org/10.1111/stan.12193
Pajouheshnia, R., van Smeden, M., Peelen, L. M., & Groenwold, R. H. H. (2019). How variation in predictor measurement affects the discriminative ability and transportability of a prediction model. Journal of Clinical Epidemiology, 105, 136-141. https://doi.org/10.1016/j.jclinepi.2018.09.001

2018

Wetenschappelijke publicaties

Heus, P., Damen, J. A. A. G., Pajouheshnia, R., Scholten, R. J. P. M., Reitsma, J. B., Collins, G. S., Altman, D. G., Moons, K. G. M., & Hooft, L. (2018). Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement. BMC Medicine, 16(1), 1-12. [120]. https://doi.org/10.1186/s12916-018-1099-2

2017

Wetenschappelijke publicaties

Pajouheshnia, R., Damen, J. A. A. G., Groenwold, R. H. H., Moons, K. G. M., & Peelen, L. M. (2017). Treatment use in prognostic model research: a systematic review of cardiovascular prognostic studies. Diagnostic and prognostic research, 1, 15. https://doi.org/10.1186/s41512-017-0015-0
Pajouheshnia, R., Peelen, L. M., Moons, K. G. M., Reitsma, J. B., & Groenwold, R. H. H. (2017). Accounting for treatment use when validating a prognostic model: a simulation study. BMC Medical Research Methodology, 17(1), [103]. https://doi.org/10.1186/s12874-017-0375-8

2016

Wetenschappelijke publicaties

Groenwold, R. H. H., Moons, K. G. M., Pajouheshnia, R., Altman, D. G., Collins, G. S., Debray, T. P. A., Reitsma, J. B., Riley, R. D., & Peelen, L. M. (2016). Explicit inclusion of treatment in prognostic modeling was recommended in observational and randomized settings. Journal of Clinical Epidemiology, 78, 90-100. https://doi.org/10.1016/j.jclinepi.2016.03.017
Pajouheshnia, R., Pestman, W. R., Teerenstra, S., & Groenwold, R. H. H. (2016). A computational approach to compare regression modelling strategies in prediction research. BMC Medical Research Methodology, 16(1), 107. https://doi.org/10.1186/s12874-016-0209-0