Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147

Subclinical Hypothyroidism and the Risk of Coronary Heart Disease and Mortality

Rodondi, N., den Elzen, W. P. J., Bauer, D. C., Cappola, A. R., Razvi, S., Walsh, J. P., Åsvold, B. O., Iervasi, G., Imaizumi, M., Collet, T.-H., et al. (2010) · JAMA · doi:10.1001/jama.2010.1361 · Cited by 1,216

Research Commentary —Too Big to Fail: Large Samples and the p -Value Problem

Lin, M., Lucas, H. C., & Shmueli, G. (2013) · Information Systems Research · doi:10.1287/isre.2013.0480 · Cited by 972

Development and Validation of a Prognostic Index for 4-Year Mortality in Older Adults

Lee, S. J. (2006) · JAMA · doi:10.1001/jama.295.7.801 · Cited by 809

Subclinical hyperthyroidism and the risk of coronary heart disease and mortality

Collet, T.-H., Gussekloo, J., Bauer, D. C., den Elzen, W. P. J., Cappola, A. R., Balmer, P., Iervasi, G., Åsvold, B. O., Sgarbi, J. A., Völzke, H., et al. (2012) · Archives of Internal Medicine · doi:10.1001/archinternmed.2012.402 · Cited by 572

A cluster randomised trial of cloth masks compared with medical masks in healthcare workers

MacIntyre, C. R., Seale, H., Dung, T. C., Hien, N. T., Nga, P. T., Chughtai, A. A., Rahman, B., Dwyer, D. E., & Wang, Q. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-006577 · Cited by 471

Depressive Symptoms, Vascular Disease, and Mild Cognitive Impairment: Findings From the Cardiovascular Health Study

Barnes, D. E., Alexopoulos, G. S., Lopez, O. L., Williamson, J. D., & Yaffe, K. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.3.273 · Cited by 465

Association of digital media use with subsequent symptoms of attention-deficit/hyperactivity disorder among adolescents

Ra, C. K., Cho, J., Stone, M. D., De La Cerda, J., Goldenson, N. I., Moroney, E., Tung, I., Lee, S. S., & Leventhal, A. M. (2018) · JAMA · doi:10.1001/jama.2018.8931 · Cited by 360

Office Type in Relation to Health, Well-Being, and Job Satisfaction Among Employees

Danielsson, C. B., & Bodin, L. (2008) · Environment and Behavior · doi:10.1177/0013916507307459 · Cited by 363

Subclinical Thyroid Dysfunction and Fracture Risk: A Meta-analysis

Blum, M. R., Bauer, D. C., Collet, T.-H., Fink, H. A., Cappola, A. R., da Costa, B. R., Wirth, C. D., Peeters, R. P., Åsvold, B. O., den Elzen, W. P. J., et al. (2015) · JAMA · doi:10.1001/jama.2015.5161 · Cited by 343

The role of administrative data in the big data revolution in social science research

Connelly, R., Playford, C. J., Gayle, V., & Dibben, C. (2016) · Social Science Research · doi:10.1016/j.ssresearch.2016.04.015 · Cited by 330

Perpetration of partner violence and HIV risk behaviour among young men in the rural Eastern Cape, South Africa

Dunkle, K. L., Jewkes, R. K., Nduna, M., Levin, J., Jama, N., Khuzwayo, N., Koss, M. P., & Duvvury, N. (2006) · AIDS · doi:10.1097/01.aids.0000247582.00826.52 · Cited by 324

Symptomatic Pelvic Organ Prolapse: Prevalence and Risk Factors in a Population-Based, Racially Diverse Cohort

Rortveit, G., Brown, J. S., Thom, D. H., Van Den Eeden, S. K., Creasman, J. M., & Subak, L. L. (2007) · Obstetrics & Gynecology · doi:10.1097/01.aog.0000263469.68106.90 · Cited by 314

The Climate Change Mitigation Effects of Daily Active Travel in Cities

Brand, C., Dons, E., Anaya-Boig, E., Avila-Palencia, I., Clark, A., de Nazelle, A., Gascon, M., Gaupp-Berghausen, M., Gerike, R., Götschi, T., et al. (2021) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2021.102764 · Cited by 315

A cluster randomized clinical trial comparing fit-tested and non-fit-tested N95 respirators to medical masks to prevent respiratory virus infection in health care workers: RCT of face masks in health workers

MacIntyre, C. R., Wang, Q., Cauchemez, S., Seale, H., Dwyer, D. E., Yang, P., Shi, W., Gao, Z., Pang, X., Zhang, Y., et al. (2011) · Influenza and Other Respiratory Viruses · doi:10.1111/j.1750-2659.2011.00198.x · Cited by 257

Assessing the incremental value of diagnostic and prognostic markers: a review and illustration

Steyerberg, E. W., Pencina, M. J., Lingsma, H. F., Kattan, M. W., Vickers, A. J., & Van Calster, B. (2012) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2011.02562.x · Cited by 219

Augmented backward elimination: a pragmatic and purposeful way to develop statistical models

Dunkler, D., Plischke, M., Leffondré, K., & Heinze, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113677 · Cited by 194

The Obesity Paradox in Type 2 Diabetes Mellitus: Relationship of Body Mass Index to Prognosis: A Cohort Study

Costanzo, P., Cleland, J. G. F., Pellicori, P., Clark, A. L., Hepburn, D., Kilpatrick, E. S., Perrone-Filardi, P., Zhang, J., & Atkin, S. L. (2015) · Annals of Internal Medicine · doi:10.7326/m14-1551 · Cited by 199

Purpose in life is associated with physical activity measured by accelerometer

Hooker, S. A., & Masters, K. S. (2016) · Journal of Health Psychology · doi:10.1177/1359105314542822 · Cited by 182

Loneliness is associated with poor prognosis in late-life depression: Longitudinal analysis of the Netherlands study of depression in older persons

Holvast, F., Burger, H., de Waal, M. M. W., van Marwijk, H. W. J., Comijs, H. C., & Verhaak, P. F. M. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.06.036 · Cited by 164

Prevalence and risk factors for recovery of filamentous fungi in individuals with cystic fibrosis

Sudfeld, C. R., Dasenbrook, E. C., Merz, W. G., Carroll, K. C., & Boyle, M. P. (2010) · Journal of Cystic Fibrosis · doi:10.1016/j.jcf.2009.11.010 · Cited by 128

Effect of Personalized Risk-Reduction Strategies on Cognition and Dementia Risk Profile Among Older Adults: The SMARRT Randomized Clinical Trial

Yaffe, K., Vittinghoff, E., Dublin, S., Peltz, C. B., Fleckenstein, L. E., Rosenberg, D. E., Barnes, D. E., Balderson, B. H., & Larson, E. B. (2024) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2023.6279 · Cited by 124

The effectiveness of spawning habitat creation or enhancement for substrate-spawning temperate fish: a systematic review

Taylor, J. J., Rytwinski, T., Bennett, J. R., Smokorowski, K. E., Lapointe, N. W. R., Janusz, R., Clarke, K., Tonn, B., Walsh, J. C., & Cooke, S. J. (2019) · Environmental Evidence · doi:10.1186/s13750-019-0162-6 · Cited by 105

Chronic pain, craving, and illicit opioid use among patients receiving opioid agonist therapy

Tsui, J. I., Lira, M. C., Cheng, D. M., Winter, M. R., Alford, D. P., Liebschutz, J. M., Edwards, R. R., & Samet, J. H. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.06.024 · Cited by 97

The Role of HIV-Related Stigma in Utilization of Skilled Childbirth Services in Rural Kenya: A Prospective Mixed-Methods Study

Turan, J. M., Hatcher, A. H., Medema-Wijnveen, J., Onono, M., Miller, S., Bukusi, E. A., Turan, B., & Cohen, C. R. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001295 · Cited by 96

Personality-related factors as predictors of help-seeking for depression: a population-based study applying the behavioral model of health services use

Schomerus, G., Appel, K., Meffert, P. J., Luppa, M., Andersen, R. M., Grabe, H. J., & Baumeister, S. E. (2013) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-012-0643-1 · Cited by 90

Effects of TZD use and discontinuation on fracture rates in ACCORD bone study

Schwartz, A. V., Chen, H., Ambrosius, W. T., Sood, A., Josse, R. G., Bonds, D. E., Schnall, A. M., Vittinghoff, E., Bauer, D. C., Banerji, M. A., et al. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-1215 · Cited by 85

Preoperative factors predict postoperative trajectories of pain and disability following surgery for degenerative lumbar spinal stenosis

Hébert, J. J., Abraham, E., Wedderkopp, N., Bigney, E., Richardson, E., Darling, M., Hall, H., Fisher, C. G., Rampersaud, Y. R., Thomas, K. C., et al. (2020) · Spine · doi:10.1097/brs.0000000000003587 · Cited by 74

Evidence for the effect of homes on wildfire suppression costs

Gude, P. H., Jones, K., Rasker, R., & Greenwood, M. C. (2013) · International Journal of Wildland Fire · doi:10.1071/wf11095 · Cited by 69

Impact of lean six sigma process improvement methodology on cardiac catheterization laboratory efficiency

Agarwal, S., Gallo, J. J., Parashar, A., Agarwal, K. K., Ellis, S. G., Khot, U. N., Spooner, R., Murat Tuzcu, E., & Kapadia, S. R. (2016) · Cardiovascular Revascularization Medicine · doi:10.1016/j.carrev.2015.12.011 · Cited by 67

Physical activity from young adulthood to middle age and premature cardiovascular disease events: a 30-year population-based cohort study

Nagata, J. M., Vittinghoff, E., Gabriel, K. P., Rana, J. S., Garber, A. K., Moran, A. E., Reis, J. P., Lewis, C. E., Sidney, S., & Bibbins-Domingo, K. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01357-2 · Cited by 54

Developing and Evaluating Prediction Models in Rehabilitation Populations

Seel, R. T., Steyerberg, E. W., Malec, J. F., Sherer, M., & Macciocchi, S. N. (2012) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2012.04.021 · Cited by 49

Gestational Diabetes in the Population Served by Brazilian Public Health Care. Prevalence and Risk Factors

dos Santos, P. A., Madi, J. M., da Silva, E. R., Vergani, D. D. O. P., de Araújo, B. F., & Garcia, R. M. R. (2020) · Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics · doi:10.1055/s-0039-1700797 · Cited by 47

TNF-α Is Associated with Loss of Lean Body Mass Only in Already Cachectic COPD Patients

Eagan, T. M., Gabazza, E. C., D’Alessandro-Gabazza, C., Gil-Bernabe, P., Aoki, S., Hardie, J. A., Bakke, P. S., & Wagner, P. D. (2012) · Respiratory Research · doi:10.1186/1465-9921-13-48 · Cited by 39

The Multifaceted Role of Self‐Generated Question Asking in Curiosity‐Driven Learning

Kedrick, K., Schrater, P., & Koutstaal, W. (2023) · Cognitive Science · doi:10.1111/cogs.13253 · Cited by 29

Facebook, Quality of Life, and Mental Health Outcomes in Post-Disaster Urban Environments: The L’Aquila Earthquake Experience

Masedu, F., Mazza, M., Di Giovanni, C., Calvarese, A., Tiberti, S., Sconci, V., & Valenti, M. (2014) · Frontiers in Public Health · doi:10.3389/fpubh.2014.00286 · Cited by 28

Predicting self-harm in prisoners: risk factors and a prognostic model in a cohort of 542 prison entrants

Ryland, H., Gould, C., McGeorge, T., Hawton, K., & Fazel, S. (2020) · European Psychiatry · doi:10.1192/j.eurpsy.2020.40 · Cited by 27

Vessel Wall Enhancement on Black-Blood MRI Predicts Acute and Future Stroke in Cerebral Amyloid Angiopathy

McNally, J. S., Sakata, A., Alexander, M. D., Dewitt, L. D., Sonnen, J. A., Menacho, S. T., Stoddard, G. J., Kim, S.-E., & de Havenon, A. H. (2021) · American Journal of Neuroradiology · doi:10.3174/ajnr.a7047 · Cited by 18

Modafinil as a Potential Motion Sickness Countermeasure

Hoyt, R. E., Lawson, B. D., McGee, H. A., Strompolis, M. L., & McClellan, M. A. (2009) · Aviation, Space, and Environmental Medicine · doi:10.3357/asem.2477.2009 · Cited by 16

Predictors of tobacco smoking abstinence among tuberculosis patients in South Africa

Louwagie, G. M. C., & Ayo-Yusuf, O. A. (2015) · Journal of Behavioral Medicine · doi:10.1007/s10865-015-9620-y · Cited by 11