Displaying 351 - 400 of 431CSV
Pickersgill, S. J., Msemburi, W. T., Cobb, L., Ide, N., Moran, A. E., Su, Y., Xu, X., & Watkins, D. A. (2022). Modeling global 80-80-80 blood pressure targets and cardiovascular outcomes. Nature Medicine, 28(8), 1693–1699. https://doi.org/10.1038/s41591-022-01890-4
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Kamath, V., Senjem, M. L., Spychalla, A. J., Chen, H., Palta, P., Mosley, T. H., Windham, B. G., Griswold, M., Knopman, D. S., Gottesman, R. F., Jack, C. R., Sharrett, A. R., & Schneider, A. L. C. (2022). The Neuroanatomic Correlates of Olfactory Identification Impairment in Healthy Older Adults and in Persons with Mild Cognitive Impairment. Journal of Alzheimer’s Disease, 89(1), 233–245. https://doi.org/10.3233/jad-220228
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Yoon, S., Broadwell, P., Alcantara, C., Davis, N., Sun, F. F., de Planell Saguer, M. D., Nho, J. Y., & Mittelman, M. (2022). Applying Participatory Design Mixed-Methods Approaches to Refine Twitter-Based Social Support Interventions for African Americans and Hispanic Family Caregivers of Persons with Dementia. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220728
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Lee, H., Jang, S. J., Sun, F. F., Broadwell, P., & Yoon, S. (2022). Comparing Themes Extracted via Topic Modeling and Manual Content Analysis: Korean-Language Discussions of Dementia on Twitter. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220704
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Yoon, S., Mendes, A., Burgio, L., Mittelman, M., Dunner, I., Levine, J. A., Hoyos, C., Tipiani, D., Ramirez, M., Teresi, J. A., & Luchsinger, J. A. (2022). Application of Machine Learning Techniques to Examine Social Service Needs Among Hispanic Family Caregivers of Persons with Dementia. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220776
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Yoon, S., Broadwell, P., Sun, F. F., Jang, S. J., & Lee, H. (2022). Comparing Emotional Valence Scores of Twitter Posts from Manual Coding and Machine Learning Algorithms to Gain Insights to Refine Interventions for Family Caregivers of Persons with Dementia. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220710
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Oelsner, E. C., Krishnaswamy, A., Balte, P. P., Allen, N. B., Ali, T., Anugu, P., Andrews, H. F., Arora, K., Asaro, A., Barr, R. G., Bertoni, A. G., Bon, J., Boyle, R., Chang, A. A., Chen, G., Coady, S., Cole, S. A., Coresh, J., … Cornell, E. (2022). Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design. American Journal of Epidemiology, 191(7), 1153–1173. https://doi.org/10.1093/aje/kwac032
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Commodore-Mensah, Y., Mok, Y., Gottesman, R. F., Kucharska-Newton, A., Matsushita, K., Palta, P., Rosamond, W. D., Sarfo, F. S., Coresh, J., & Koton, S. (2022). Life’s Simple 7 at Midlife and Risk of Recurrent Cardiovascular Disease and Mortality after Stroke: The ARIC study. Journal of Stroke and Cerebrovascular Diseases, 31(7), 106486. https://doi.org/10.1016/j.jstrokecerebrovasdis.2022.106486
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Lee, A. J., Raghavan, N. S., Bhattarai, P., Siddiqui, T., Sariya, S., Reyes-Dumeyer, D., Flowers, X. E., Cardoso, S. A. L., De Jager, P. L., Bennett, D. A., Schneider, J. A., Menon, V., Wang, Y., Lantigua, R. A., Medrano, M., Rivera, D., Jiménez-Velázquez, I. Z., Kukull, W. A., Brickman, A. M., … Mayeux, R. (2022). FMNL2 regulates gliovascular interactions and is associated with vascular risk factors and cerebrovascular pathology in Alzheimer’s disease. Acta Neuropathologica, 144(1), 59–79. https://doi.org/10.1007/s00401-022-02431-6
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Rubenstein, J. H., Omidvari, A.-H., Lauren, B. N., Hazelton, W. D., Lim, F., Tan, S. X., Kong, C. Y., Lee, M., Ali, A., Hur, C., Inadomi, J. M., Luebeck, G., & Lansdorp-Vogelaar, I. (2022). Endoscopic Screening Program for Control of Esophageal Adenocarcinoma in Varied Populations: A Comparative Cost-Effectiveness Analysis. Gastroenterology, 163(1), 163–173. https://doi.org/10.1053/j.gastro.2022.03.037
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Park, J., Artin, M. G., Lee, K. E., Pumpalova, Y. S., Ingram, M. A., May, B. L., Park, M., Hur, C., & Tatonetti, N. P. (2022). Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer. Journal of Biomedical Informatics, 131, 104095. https://doi.org/10.1016/j.jbi.2022.104095
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Campbell, N. R. C., Paccot Burnens, M., Whelton, P. K., Angell, S. Y., Jaffe, M. G., Cohn, J., Espinosa Brito, A., Irazola, V., Brettler, J. W., Roccella, E. J., Maldonado Figueredo, J. I., Rosende, A., & Ordunez, P. (2022). 2021 World Health Organization guideline on pharmacological treatment of hypertension: Policy implications for the region of the Americas. The Lancet Regional Health - Americas, 9, 100219. https://doi.org/10.1016/j.lana.2022.100219
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Eckhardt, C. M., Balte, P. P., Barr, R. G., Bertoni, A. G., Bhatt, S. P., Cuttica, M., Cassano, P. A., Chaves, P., Couper, D., Jacobs, D. R., Kalhan, R., Kronmal, R., Lange, L., Loehr, L., London, S. J., O’Connor, G. T., Rosamond, W., Sanders, J., Schwartz, J. E., … Oelsner, E. C. (2022). Lung function impairment and risk of incident heart failure: the NHLBI Pooled Cohorts Study. European Heart Journal, 43(23), 2196–2208. https://doi.org/10.1093/eurheartj/ehac205
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Bellows, B. K., Khera, A. V., Zhang, Y., Ruiz‐Negrón, N., Stoddard, H. M., Wong, J. B., Kazi, D. S., de Ferranti, S. D., & Moran, A. E. (2022). Estimated Yield of Screening for Heterozygous Familial Hypercholesterolemia With and Without Genetic Testing in US Adults. Journal of the American Heart Association, 11(11). https://doi.org/10.1161/jaha.121.025192
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Zheutlin, A. R., Derington, C. G., King, J. B., Berchie, R. O., Herrick, J. S., Dixon, D. L., Cohen, J. B., Shimbo, D., Kronish, I. M., Saseen, J. J., Muntner, P., Moran, A. E., & Bress, A. P. (2022). Factors associated with antihypertensive monotherapy among US adults with treated hypertension and uncontrolled blood pressure overall and by race/ethnicity, National Health and Nutrition Examination Survey 2013-2018. American Heart Journal, 248, 150–159. https://doi.org/10.1016/j.ahj.2021.10.184
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Palta, P., Griswold, M., Ranadive, R., Bandeen-Roche, K., Folsom, A. R., Petruski-Ivleva, N., Burgard, S., Kucharska-Newton, A., & Windham, B. G. (2021). Midlife Cardiovascular Health and Robust Versus Frail Late-Life Status: The Atherosclerosis Risk in Communities Study. The Journals of Gerontology: Series A, 77(6), 1222–1229. https://doi.org/10.1093/gerona/glab310
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St-Onge, M.-P., & Jelic, S. (2022). Diet as adjunctive therapy for sleep apnea risk: not only how much but also what to eatCommentary on Melaku YA, Reynolds AC, Appleton S, et al. High-quality and anti-inflammatory diets and a healthy lifestyle are associated with lower sleep apnea risk. J Clin Sleep Med. 2022;18(6):1667–1679. doi: 10.5664/jcsm.9950. Journal of Clinical Sleep Medicine, 18(6), 1487–1489. https://doi.org/10.5664/jcsm.10042
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Besagar, S., Robles, P. L. A., Rojas, C., Kneifati-Hayek, J. Z., Asadourian, P., Tong, W., Kosber, R., Applebaum, J. R., Albanese, C., Goffman, D., & Adelman, J. S. (2022). “What’s in a name?” Identification of newborn infants at birth using their given names. Journal of Perinatology, 42(6), 752–755. https://doi.org/10.1038/s41372-021-01270-9
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Bellows, B. K., Xu, J., Sheppard, J. P., Schwartz, J. E., Shimbo, D., Muntner, P., McManus, R. J., Moran, A. E., Bryant, K. B., Cohen, L. P., Bress, A. P., King, J. B., Shikany, J. M., Green, B. B., Yano, Y., Clark, D., & Zhang, Y. (2022). Predicting Out-of-Office Blood Pressure in a Diverse US Population. American Journal of Hypertension, 35(6), 533–542. https://doi.org/10.1093/ajh/hpac005
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Sahoo, S. K., Pathni, A. K., Krishna, A., Sharma, B., Cazabon, D., Moran, A. E., & Hering, D. (2022). ESTIMATES ON MEDICATION COST OF DRUG DOSE SPECIFIC TREATMENT PROTOCOL FOR HYPERTENSION MANAGEMENT IN PUBLIC AND PRIVATE HEALTHCARE SECTORS IN INDIA. Journal of Hypertension, 40(Suppl 1), e232. https://doi.org/10.1097/01.hjh.0000837844.63102.4a
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Makarem, N., German, C., Zhang, Z., Diaz, K., Palta, P., Duncan, D., Castro-Diehl, C., & Shechter, A. (2022). 0560 Rest-Activity Rhythms are Associated with Prevalent Cardiovascular Disease, Hypertension, Obesity, and Central Adiposity in a Nationally Representative Sample of US Adults. Sleep, 45(Supplement_1), A247–A247. https://doi.org/10.1093/sleep/zsac079.557
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Hankerson, S. H., Moise, N., Wilson, D., Waller, B. Y., Arnold, K. T., Duarte, C., Lugo-Candelas, C., Weissman, M. M., Wainberg, M., Yehuda, R., & Shim, R. (2022). The Intergenerational Impact of Structural Racism and Cumulative Trauma on Depression. American Journal of Psychiatry, 179(6), 434–440. https://doi.org/10.1176/appi.ajp.21101000
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Campbell, N. R. C., Burnens, M. P., Whelton, P. K., Angell, S. Y., Jaffe, M. G., Cohn, J., Espinosa Brito, A., Irazola, V., Brettler, J. W., Roccella, E. J., Maldonado Figueredo, J. I., Rosende, A., & Ordunez, P. (2022). Diretrizes de 2021 da Organização Mundial da Saúde sobre o tratamento medicamentoso da hipertensão arterial: repercussões para as políticas na Região das Américas. Revista Panamericana de Salud Pública, 46, 1. https://doi.org/10.26633/rpsp.2022.55
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Hu, X., Qiao, D., Kim, W., Moll, M., Balte, P. P., Lange, L. A., Bartz, T. M., Kumar, R., Li, X., Yu, B., Cade, B. E., Laurie, C. A., Sofer, T., Ruczinski, I., Nickerson, D. A., Muzny, D. M., Metcalf, G. A., Doddapaneni, H., Gabriel, S., … Manichaikul, A. (2022). Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program. The American Journal of Human Genetics, 109(5), 857–870. https://doi.org/10.1016/j.ajhg.2022.03.007
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Sobel, M., Navas-Acien, A., Powers, M., Grau-Perez, M., Goessler, W., Best, L. G., Umans, J., Oelsner, E. C., Podolanczuk, A., & Sanchez, T. R. (2022). Environmental-level exposure to metals and metal-mixtures associated with spirometry-defined lung disease in American Indian adults: Evidence from the Strong Heart Study. Environmental Research, 207, 112194. https://doi.org/10.1016/j.envres.2021.112194
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Liyanage-Don, N. A., Winawer, M. R., Hamberger, M. J., Agarwal, S., Trainor, A. R., Quispe, K. A., & Kronish, I. M. (2022). Association of depression and COVID-induced PTSD with cognitive symptoms after COVID-19 illness. General Hospital Psychiatry, 76, 45–48. https://doi.org/10.1016/j.genhosppsych.2022.02.006
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Moise, N., Davidson, K. W., Clarke, G. N., Dolor, R. J., Margolis, K. L., & Kronish, I. M. (2021). Differences in the Prevalence of Screen-Detected Depression After Acute Coronary Syndrome Between Health Systems in the USA: Findings from CODIACS-QoL Randomized Controlled Trial. Journal of General Internal Medicine, 37(7), 1808–1810. https://doi.org/10.1007/s11606-021-07049-0
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Ogungbe, O., Cazabon, D., Ajenikoko, A., Jeemon, P., Moran, A. E., & Commodore-Mensah, Y. (2022). Determining the frequency and level of task-sharing for hypertension management in LMICs: A systematic review and meta-analysis. EClinicalMedicine, 47, 101388. https://doi.org/10.1016/j.eclinm.2022.101388
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Kohli-Lynch, C. N., Lewsey, J., Boyd, K. A., French, D. D., Jordan, N., Moran, A. E., Sattar, N., Preiss, D., & Briggs, A. H. (2022). Beyond 10-Year Risk: A Cost-Effectiveness Analysis of Statins for the Primary Prevention of Cardiovascular Disease. Circulation, 145(17), 1312–1323. https://doi.org/10.1161/circulationaha.121.057631
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Rippon, B., Palta, P., Tahmi, M., Sherwood, G., Soto, L., Cespedes, S., Mesen, Y., He, H., Laing, K., Moreno, H., Teresi, J., Razlighi, Q., Brickman, A. M., Zetterberg, H., & Luchsinger, J. A. (2022). Plasma Amyloid and in vivo Brain Amyloid in Late Middle-Aged Hispanics. Journal of Alzheimer’s Disease, 87(3), 1229–1238. https://doi.org/10.3233/jad-210391
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Zheng, B., Artin, M. G., Chung, H., Chen, B., Sun, S., May, B. L., Hur, C., Green, P. H. R., Wang, T. C., Park, J., & Kong, X. (2022). Immunogenetics of gastrointestinal cancers: A systematic review and retrospective survey of inborn errors of immunity in humans. Journal of Gastroenterology and Hepatology, 37(6), 973–982. Portico. https://doi.org/10.1111/jgh.15848
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Austin, T. R., Nasrallah, I. M., Erus, G., Desiderio, L. M., Chen, L. Y., Greenland, P., Harding, B. N., Hughes, T. M., Jensen, P. N., Longstreth, W., Post, W. S., Shea, S. J., Sitlani, C. M., Davatzikos, C., Habes, M., Nick Bryan, R., & Heckbert, S. R. (2022). Association of Brain Volumes and White Matter Injury With Race, Ethnicity, and Cardiovascular Risk Factors: The Multi‐Ethnic Study of Atherosclerosis. Journal of the American Heart Association, 11(7). https://doi.org/10.1161/jaha.121.023159
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Bucholz, E. M., Butala, N. M., Allen, N. B., Moran, A. E., & de Ferranti, S. D. (2022). Age, Sex, Race/Ethnicity, and Income Patterns in Ideal Cardiovascular Health Among Adolescents and Adults in the U.S. American Journal of Preventive Medicine, 62(4), 586–595. https://doi.org/10.1016/j.amepre.2021.11.010
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Kim, J. S., Axelsson, G. T., Moll, M., Anderson, M. R., Bernstein, E. J., Putman, R. K., Hida, T., Hatabu, H., Hoffman, E. A., Raghu, G., Kawut, S. M., Doyle, M. F., Tracy, R., Launer, L. J., Manichaikul, A., Rich, S. S., Lederer, D. J., Gudnason, V., Hobbs, B. D., … Podolanczuk, A. J. (2022). Associations of Monocyte Count and Other Immune Cell Types with Interstitial Lung Abnormalities. American Journal of Respiratory and Critical Care Medicine, 205(7), 795–805. https://doi.org/10.1164/rccm.202108-1967oc
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Kim, J. S., Dashti, H. S., Huang, T., Cade, B. E., Podolanczuk, A. J., O’Hearn, D. J., Hoffman, E. A., Wang, H., Blaikley, J., Barr, R. G., & Redline, S. (2021). Associations of sleep duration and sleep–wake rhythm with lung parenchymal abnormalities on computed tomography: The MESA study. Journal of Sleep Research, 31(2). Portico. https://doi.org/10.1111/jsr.13475
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Lucero, R. J., Yoon, S., Suero-Tejeda, N., Arcia, A., Iribarren, S., Mittelman, M., Luchsinger, J., & Bakken, S. (2022). Application of persuasive systems design principles to design a self-management application user interface for Hispanic informal dementia caregivers: user preferences and perceptions. JAMIA Open, 5(1). https://doi.org/10.1093/jamiaopen/ooab114
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Shen, T. H., Stauber, J., Xu, K., Jacunski, A., Paragas, N., Callahan, M., Banlengchit, R., Levitman, A. D., Desanti De Oliveira, B., Beenken, A., Grau, M. S., Mathieu, E., Zhang, Q., Li, Y., Gopal, T., Askanase, N., Arumugam, S., Mohan, S., Good, P. I., … Barasch, J. (2022). Snapshots of nascent RNA reveal cell- and stimulus-specific responses to acute kidney injury. JCI Insight, 7(6). https://doi.org/10.1172/jci.insight.146374
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Martinez-Amezcua, P., Dooley, E. E., Reed, N. S., Powell, D., Hornikel, B., Golub, J. S., Pettee Gabriel, K., & Palta, P. (2022). Association of Hearing Impairment and 24-Hour Total Movement Activity in a Representative Sample of US Adults. JAMA Network Open, 5(3), e222983. https://doi.org/10.1001/jamanetworkopen.2022.2983
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Mayfield, S. K., Foti, K., Moran, A. E., Blakeman, D. E., & Frieden, T. R. (2022). Hypertension Call to Action: Will We Respond to the Call With Action? American Journal of Hypertension, 35(3), 214–216. https://doi.org/10.1093/ajh/hpab191
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Paluch, A. E., Bajpai, S., Bassett, D. R., Carnethon, M. R., Ekelund, U., Evenson, K. R., Galuska, D. A., Jefferis, B. J., Kraus, W. E., Lee, I.-M., Matthews, C. E., Omura, J. D., Patel, A. V., Pieper, C. F., Rees-Punia, E., Dallmeier, D., Klenk, J., Whincup, P. H., Dooley, E. E., … Fulton, J. E. (2022). Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts. The Lancet Public Health, 7(3), e219–e228. https://doi.org/10.1016/s2468-2667(21)00302-9
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Yi, J. S., Garcia Morales, E. E., Betz, J. F., Deal, J. A., Dean, L. T., Du, S., Goman, A. M., Griswold, M. E., Palta, P., Rebok, G. W., Reed, N. S., Thorpe, R. J., Lin, F. R., & Nieman, C. L. (2021). Individual Life-Course Socioeconomic Position and Hearing Aid Use in the Atherosclerosis Risk in Communities Study. The Journals of Gerontology: Series A, 77(3), 647–655. https://doi.org/10.1093/gerona/glab273
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Hsu, S., Prince, D. K., Williams, K., Allen, N. B., Burke, G. L., Hoofnagle, A. N., Li, X., Liu, K. J., McClelland, R. L., Michos, E. D., Psaty, B. M., Shea, S. J., Rice, K. M., Rotter, J. I., Siscovick, D., Tracy, R. P., Watson, K. E., Kestenbaum, B. R., & de Boer, I. H. (2022). Clinical and biomarker modifiers of vitamin D treatment response: the Multi-Ethnic Study of Atherosclerosis. The American Journal of Clinical Nutrition, 115(3), 914–924. https://doi.org/10.1093/ajcn/nqab390
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Ye, S., Anstey, D. E., Grauer, A., Metser, G., Moise, N., Schwartz, J., Kronish, I., & Abdalla, M. (2022). The Impact of Telemedicine Visits on the Controlling High Blood Pressure Quality Measure During the COVID-19 Pandemic: Retrospective Cohort Study. JMIR Formative Research, 6(3), e32403. https://doi.org/10.2196/32403
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Xu, Y., Greene, T. H., Bress, A. P., Sauer, B. C., Bellows, B. K., Zhang, Y., Weintraub, W. S., Moran, A. E., & Shen, J. (2020). Estimating the optimal individualized treatment rule from a cost‐effectiveness perspective. Biometrics, 78(1), 337–351. Portico. https://doi.org/10.1111/biom.13406
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Liyanage-Don, N. A., Edelman, D. S., Chang, B. P., Schultebraucks, K., Thanataveerat, A., & Kronish, I. M. (2021). Associations between emergency department crowding and perceptions of interpersonal care in patients presenting with suspected acute coronary syndrome. Emergency Medicine Journal, 39(3), 186–190. https://doi.org/10.1136/emermed-2020-210493
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Gomez, G. T., Gottesman, R. F., Gabriel, K. P., Palta, P., Gross, A. L., Soldan, A., Albert, M. S., Sullivan, K. J., Jack, C. R., Knopman, D. S., Windham, B. G., & Walker, K. A. (2021). The association of motoric cognitive risk with incident dementia and neuroimaging characteristics: The Atherosclerosis Risk in Communities Study. Alzheimer’s & Dementia, 18(3), 434–444. Portico. https://doi.org/10.1002/alz.12412
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Modi, R. M., Liu, C.-L., Isaza, N., Raber, I., Calvachi, P., Zimetbaum, P., Bellows, B. K., Kramer, D. B., & Kazi, D. S. (2022). Cost-Effectiveness of Antibiotic-Eluting Envelope for Prevention of Cardiac Implantable Electronic Device Infections in Heart Failure. Circulation: Cardiovascular Quality and Outcomes, 15(3). https://doi.org/10.1161/circoutcomes.121.008443
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