Suchard, Marc A.

Posterior summarization in Bayesian phylogenetics using tracer 1.7

Rambaut, A., Drummond, A. J., Xie, D., Baele, G., & Suchard, M. A. (2018) · Systematic Biology

Genomics and Phylogenetic StudiesMarkov Chains and Monte Carlo Methods

Cited by 11,159

BEAST 2: a software platform for Bayesian evolutionary analysis

Bouckaert, R., Heled, J., Kühnert, D., Vaughan, T., Wu, C.-H., Xie, D., Suchard, M. A., Rambaut, A., & Drummond, A. J. (2014) · PLoS Computational Biology

Genomics and Phylogenetic StudiesGenetic diversity and population structure

Cited by 6,527

BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

Bouckaert, R., Vaughan, T. G., Barido-Sottani, J., Duchêne, S., Fourment, M., Gavryushkina, A., Heled, J., Jones, G., Kühnert, D., De Maio, N., et al. (2019) · PLOS Computational Biology

Genomics and Phylogenetic StudiesGenetic diversity and population structure

Cited by 4,556

Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil

Faria, N. R., Mellan, T. A., Whittaker, C., Claro, I. M., Candido, D. D. S., Mishra, S., Crispim, M. A. E., Sales, F. C. S., Hawryluk, I., McCrone, J. T., et al. (2021) · Science

SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies

Cited by 1,461

Bayesian Selection of Continuous-Time Markov Chain Evolutionary Models

Suchard, M. A., Weiss, R. E., & Sinsheimer, J. S. (2001) · Molecular Biology and Evolution

Genomics and Phylogenetic StudiesMarkov Chains and Monte Carlo Methods

Cited by 791

Bayesian random local clocks, or one rate to rule them all

Drummond, A. J., & Suchard, M. A. (2010) · BMC Biology

Genomics and Phylogenetic StudiesEvolution and Paleontology Studies

Cited by 429

Alignment Uncertainty and Genomic Analysis

Wong, K. M., Suchard, M. A., & Huelsenbeck, J. P. (2008) · Science

Genomics and Phylogenetic StudiesFractal and DNA sequence analysis

Cited by 411

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

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

Ancient DNA analyses exclude humans as the driving force behind late Pleistocene musk ox ( Ovibos moschatus ) population dynamics

Campos, P. F., Willerslev, E., Sher, A., Orlando, L., Axelsson, E., Tikhonov, A., Aaris-Sørensen, K., Greenwood, A. D., Kahlke, R.-D., Kosintsev, P., et al. (2010) · Proceedings of the National Academy of Sciences

Genetic diversity and population structureForensic and Genetic Research

Cited by 239

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

Synchronicity of Frequently Sampled Thyrotropin (TSH) and Leptin Concentrations in Healthy Adults and Leptin-Deficient Subjects: Evidence for Possible Partial TSH Regulation by Leptin in Humans

Mantzoros, C. S., Ozata, M., Negrao, A. B., Suchard, M. A., Ziotopoulou, M., Caglayan, S., Elashoff, R. M., Cogswell, R. J., Negro, P., Liberty, V., et al. (2001) · The Journal of Clinical Endocrinology & Metabolism

Thyroid Disorders and TreatmentsRegulation of Appetite and Obesity

Cited by 229

Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study

Li, X., Ostropolets, A., Makadia, R., Shoaibi, A., Rao, G., Sena, A. G., Martinez-Hernandez, E., Delmestri, A., Verhamme, K., Rijnbeek, P. R., et al. (2021) · BMJ

Pharmacovigilance and Adverse Drug ReactionsSARS-CoV-2 and COVID-19 Research

Cited by 219

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

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

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

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

Prats-Uribe, A., Sena, A. G., Lai, L. Y. H., Ahmed, W.-U.-R., Alghoul, H., Alser, O., Alshammari, T. M., Areia, C., Carter, W., Casajust, P., et al. (2021) · BMJ

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 68

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