Statistical Methods for Rates and Proportions

Warfarin versus aspirin for stroke prevention in an elderly community population with atrial fibrillation (the Birmingham Atrial Fibrillation Treatment of the Aged Study, BAFTA): a randomised controlled trial

Mant, J., Hobbs, F. R., Fletcher, K., Roalfe, A., Fitzmaurice, D., Lip, G. Y., & Murray, E. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61233-1 · Cited by 1,556

Research diagnostic criteria for temporomandibular disorders (RDC/TMD): development of image analysis criteria and examiner reliability for image analysis

Ahmad, M., Hollender, L., Anderson, Q., Kartha, K., Ohrbach, R., Truelove, E. L., John, M. T., & Schiffman, E. L. (2009) · Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology · doi:10.1016/j.tripleo.2009.02.023 · Cited by 699

Simulation-Based Education Improves Quality of Care During Cardiac Arrest Team Responses at an Academic Teaching Hospital

Wayne, D. B., Didwania, A., Feinglass, J., Fudala, M. J., Barsuk, J. H., & McGaghie, W. C. (2008) · Chest · doi:10.1378/chest.07-0131 · Cited by 677

Guidelines for reporting mortality and morbidity after cardiac valve interventions

Akins, C. W., Miller, D. C., Turina, M. I., Kouchoukos, N. T., Blackstone, E. H., Grunkemeier, G. L., Takkenberg, J. J. M., David, T. E., Butchart, E. G., Adams, D. H., et al. (2008) · The Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2007.12.002 · Cited by 665

Sample Size Estimation in Clinical Research

Wang, X., & Ji, X. (2020) · Chest · doi:10.1016/j.chest.2020.03.010 · Cited by 452

Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation

Kwon, Y., Won, J.-H., Kim, B. J., & Paik, M. C. (2020) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2019.106816 · Cited by 424

Non-invasive imaging compared with intra-arterial angiography in the diagnosis of symptomatic carotid stenosis: a meta-analysis

Wardlaw, J., Chappell, F., Best, J., Wartolowska, K., & Berry, E. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68650-9 · Cited by 375

“It’s Dude Time!”: A Quarter Century of Excluding Women’s Sports in Televised News and Highlight Shows

Cooky, C., Messner, M. A., & Musto, M. (2015) · Communication & Sport · doi:10.1177/2167479515588761 · Cited by 373

Diabetic and Nondiabetic Patients With Left Main and/or 3-Vessel Coronary Artery Disease

Banning, A. P., Westaby, S., Morice, M.-C., Kappetein, A. P., Mohr, F. W., Berti, S., Glauber, M., Kellett, M. A., Kramer, R. S., Leadley, K., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.09.057 · Cited by 290

Charlson scores based on ICD-10 administrative data were valid in assessing comorbidity in patients undergoing urological cancer surgery

Nuttall, M., van der Meulen, J., & Emberton, M. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.07.015 · Cited by 219

Effects of real-time analytics-based personalized scaffolds on students’ self-regulated learning

Lim, L., Bannert, M., van der Graaf, J., Singh, S., Fan, Y., Surendrannair, S., Rakovic, M., Molenaar, I., Moore, J., & Gašević, D. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107547 · Cited by 198

The Horyzons project: a randomized controlled trial of a novel online social therapy to maintain treatment effects from specialist first‐episode psychosis services

Alvarez‐Jimenez, M., Koval, P., Schmaal, L., Bendall, S., O'Sullivan, S., Cagliarini, D., D'Alfonso, S., Rice, S., Valentine, L., Penn, D. L., et al. (2021) · World Psychiatry · doi:10.1002/wps.20858 · Cited by 130

Effectiveness of manual therapy and home physical therapy in patients with temporomandibular disorders: A randomized controlled trial

Tuncer, A. B., Ergun, N., Tuncer, A. H., & Karahan, S. (2013) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2012.10.006 · Cited by 133

Worksite Opportunities for Wellness (WOW): Effects on cardiovascular disease risk factors after 1 year

Racette, S. B., Deusinger, S. S., Inman, C. L., Burlis, T. L., Highstein, G. R., Buskirk, T. D., Steger-May, K., & Peterson, L. R. (2009) · Preventive Medicine · doi:10.1016/j.ypmed.2009.06.022 · Cited by 100

The reporting quality of meta-analyses improves: a random sampling study

Wen, J., Ren, Y., Wang, L., Li, Y., Liu, Y., Zhou, M., Liu, P., Ye, L., Li, Y., & Tian, W. (2008) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2007.10.008 · Cited by 84

Usefulness of the whole-blood interferon-gamma release assay for diagnosis of extrapulmonary tuberculosis

Song, K.-H., Jeon, J. H., Park, W. B., Kim, S.-H., Park, K. U., Kim, N. J., Oh, M.-D., Kim, H. B., & Choe, K. W. (2009) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2008.10.013 · Cited by 68

Inter-observer reliability of DSM-5 substance use disorders

Denis, C. M., Gelernter, J., Hart, A. B., & Kranzler, H. R. (2015) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.05.019 · Cited by 36

A Critical Evaluation of Evaluations for Long-form Question Answering

Xu, F., Song, Y., Iyyer, M., & Choi, E. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/2023.acl-long.181 · Cited by 33

The Effect of Audiences on the User Experience with Conversational Interfaces in Physical Spaces

Candello, H., Pinhanez, C., Pichiliani, M., Cavalin, P., Figueiredo, F., Vasconcelos, M., & Do Carmo, H. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300320 · Cited by 33

Complexity assessed by the INTERMED in patients with somatic symptom disorder visiting a specialized outpatient mental health care setting: a cross-sectional study

van Eck van der Sluijs, J. F., de Vroege, L., van Manen, A. S., Rijnders, C. A. T., & van der Feltz-Cornelis, C. M. (2017) · Psychosomatics · doi:10.1016/j.psym.2017.02.008 · Cited by 31