Schuemie, Martijn J.

Virtual reality treatment versus exposure in vivo: a comparative evaluation in acrophobia

Emmelkamp, P. M. G., Krijn, M., Hulsbosch, A. M., de Vries, S., Schuemie, M. J., & van der Mast, C. A. P. G. (2002) · Behaviour Research and Therapy

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 475

Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis

Suchard, M. A., Schuemie, M. J., Krumholz, H. M., You, S. C., Chen, R., Pratt, N., Reich, C. G., Duke, J., Madigan, D., Hripcsak, G., et al. (2019) · The Lancet

Blood Pressure and Hypertension StudiesCardiovascular Health and Disease Prevention

Cited by 359

Characterizing treatment pathways at scale using the OHDSI network

Hripcsak, G., Ryan, P. B., Duke, J. D., Shah, N. H., Park, R. W., Huser, V., Suchard, M. A., Schuemie, M. J., DeFalco, F. J., Perotte, A., et al. (2016) · Proceedings of the National Academy of Sciences

Medical Coding and Health InformationMachine Learning in Healthcare

Cited by 326

Treatment of acrophobia in virtual reality: The role of immersion and presence

Krijn, M., Emmelkamp, P. M. G., Biemond, R., de Wilde de Ligny, C., Schuemie, M. J., & van der Mast, C. A. P. G. (2004) · Behaviour Research and Therapy

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 320

Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

Lane, J. C. E., Weaver, J., Kostka, K., Duarte-Salles, T., Abrahao, M. T. F., Alghoul, H., Alser, O., Alshammari, T. M., Biedermann, P., Banda, J. M., et al. (2020) · The Lancet Rheumatology

Rheumatoid Arthritis Research and TherapiesPharmacovigilance and Adverse Drug Reactions

Cited by 258

Interpreting observational studies: why empirical calibration is needed to correct p‐values

Schuemie, M. J., Ryan, P. B., DuMouchel, W., Suchard, M. A., & Madigan, D. (2014) · Statistics in Medicine

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 234

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

Reps, J. M., Schuemie, M. J., Suchard, M. A., Ryan, P. B., & Rijnbeek, P. R. (2018) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 205

Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study

Chen, R., Suchard, M. A., Krumholz, H. M., Schuemie, M. J., Shea, S., Duke, J., Pratt, N., Reich, C. G., Madigan, D., You, S. C., et al. (2021) · Hypertension

Blood Pressure and Hypertension StudiesRenin-Angiotensin System Studies

Cited by 190

Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data

Schuemie, M. J., Hripcsak, G., Ryan, P. B., Madigan, D., & Suchard, M. A. (2018) · Proceedings of the National Academy of Sciences

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 163

Association of risk of suicide attempts with methylphenidate treatment

Man, K. K. C., Coghill, D., Chan, E. W., Lau, W. C. Y., Hollis, C., Liddle, E., Banaschewski, T., McCarthy, S., Neubert, A., Sayal, K., et al. (2017) · JAMA Psychiatry

Attention Deficit Hyperactivity DisorderSuicide and Self-Harm Studies

Cited by 140

Prenatal antidepressant use and risk of attention-deficit/hyperactivity disorder in offspring: population based cohort study

Man, K. K. C., Chan, E. W., Ip, P., Coghill, D., Simonoff, E., Chan, P. K. L., Lau, W. C. Y., Schuemie, M. J., Sturkenboom, M. C. J. M., & Wong, I. C. K. (2017) · BMJ

Attention Deficit Hyperactivity DisorderPregnancy and Medication Impact

Cited by 135

Semaglutide and Nonarteritic Anterior Ischemic Optic Neuropathy

Cai, C. X., Hribar, M., Baxter, S., Goetz, K., Swaminathan, S. S., Flowers, A., Brown, E. N., Toy, B., Xu, B., Chen, J., et al. (2025) · JAMA Ophthalmology

Diabetes Treatment and ManagementDrug-Induced Ocular Toxicity

Cited by 129

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm

Duan, R., Boland, M. R., Liu, Z., Liu, Y., Chang, H. H., Xu, H., Chu, H., Schmid, C. H., Forrest, C. B., Holmes, J. H., et al. (2020) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 99

Improving reproducibility by using high-throughput observational studies with empirical calibration

Schuemie, M. J., Ryan, P. B., Hripcsak, G., Madigan, D., & Suchard, M. A. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 74

Association of Hemoglobin A 1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative

Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., et al. (2018) · JAMA Network Open

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 61

Robust empirical calibration of p‐values using observational data

Schuemie, M. J., Hripcsak, G., Ryan, P. B., Madigan, D., & Suchard, M. A. (2016) · Statistics in Medicine

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 53

Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes

Khera, R., Aminorroaya, A., Dhingra, L. S., Thangaraj, P. M., Pedroso Camargos, A., Bu, F., Ding, X., Nishimura, A., Anand, T. V., Arshad, F., et al. (2024) · Journal of the American College of Cardiology

Diabetes Treatment and ManagementHeart Failure Treatment and Management

Cited by 47

Comparative Effectiveness of Second-line Antihyperglycemic Agents for Cardiovascular Outcomes: A Large-scale, Multinational, Federated Analysis of the LEGEND-T2DM Study

Khera, R., Aminorroaya, A., Dhingra, L. S., Thangaraj, P. M., Camargos, A. P., Bu, F., Ding, X., Nishimura, A., Anand, T. V., Arshad, F., et al. (2024) · Journal of the American College of Cardiology

Diabetes Treatment and ManagementHeart Failure Treatment and Management

Cited by 46

Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world comparative cardiovascular effectiveness and safety studies

Khera, R., Schuemie, M. J., Lu, Y., Ostropolets, A., Chen, R., Hripcsak, G., Ryan, P. B., Krumholz, H. M., & Suchard, M. A. (2022) · BMJ Open

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 37

Prenatal antidepressant exposure and the risk of attention-deficit hyperactivity disorder in children: a systematic review and meta-analysis.

Man, K. K. C., Chan, E. W., Ip, P., Coghill, D., Simonoff, E., Chan, P. K. L., Lau, W. C. Y., Schuemie, M. J., Sturkenboom, M. C. J. M., & Wong, I. C. K. (2018) · Neuroscience & Biobehavioral Reviews

Prenatal Substance Exposure EffectsAttention Deficit Hyperactivity Disorder

Cited by 32

Health-Analytics Data to Evidence Suite (HADES): open-source software for observational research.

Schuemie, M., Reps, J., Black, A., Defalco, F., Evans, L., Fridgeirsson, E., Gilbert, J. P., Knoll, C., Lavallee, M., Rao, G. A., et al. (2024) · Studies in Health Technology and Informatics

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 28

PheValuator 2.0: methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation.

Swerdel, J. N., Schuemie, M., Murray, G., & Ryan, P. B. (2022) · Journal of Biomedical Informatics

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 20

Combining cox regressions across a heterogeneous distributed research network facing small and zero counts

Schuemie, M. J., Chen, Y., Madigan, D., & Suchard, M. A. (2022) · Statistical Methods in Medical Research

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 20

Use of Adjectives in Abstracts when Reporting Results of Randomized, Controlled Trials from Industry and Academia

Cepeda, M. S., Berlin, J. A., Glasser, S. C., Battisti, W. P., & Schuemie, M. J. (2015) · Drugs in R&D

Pharmaceutical industry and healthcareMeta-analysis and systematic reviews

Cited by 11