2023 Publications

  • Allotey, PA; Harel, O. Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana (2023) Spatial Statistics 54:100730, Elsevier https://doi.org/10.1016/j.spasta.2023.100730
  • Carter, E. J., Zavez, K., Rogers, S. C., deMayo, R., Harel, O., Gerber, J. S., & Aseltine, R. H. (2023). Documented Penicillin Allergies on Antibiotic Selection at Pediatric Emergency Department Visits. Pediatric Emergency Care, 10-1097. 10.1097/PEC.0000000000003023
  • Carter, E. J., Shang, J, Baron, K., et al (2023). Perceived usefulness of a mnemonic to improve nurses’ evaluation of reported penicillin allergies. Antimicrobial Stewardship & Healthcare Epidemiology, 3(1), E124. https://doi.org/10.1017/ash.2023.177
  • Carter, E. J., Shang, J., George, M., DeForge, C., Mackson, G., Palace, Z. J., & Stone, P. (2023). Nursing home residents’ experiences and perceptions of antibiotic use: A qualitative descriptive study. American Journal of Infection Control, 51(2), 159-162. https://doi.org/10.1016/j.ajic.2022.06.002
  • Carter EJ, Kaman K, Baron K, Miller M, Krol DM, Harpalani D, Aseltine RH, Pagoto S. (2023) Parent-reported penicillin allergies in children: A qualitative study. Am J Infect Control. Jan;51(1):56-61. Epub 2022 May 7. PMID: 35537563.  https://doi.org/10.1016/j.ajic.2022.04.008
  • Chen, J., Li, H., Zhao, T., Chen, K., Chen, M. H., Sun, Z., ... & Cong, X. S. (2023). The Impact of Early Life Experiences and Gut Microbiota on Neurobehavioral Development in Preterm Infants: A Longitudinal Cohort Study. Microorganisms, 11(3), 814. https://doi.org/10.3390/microorganisms11030814
  • Cheng G., Y. Lin, J. Yan, J. Zhao and L. Bai, (2023) "Model-Measurement Data Integrity Attacks," in IEEE Transactions on Smart Grid, https://doi.org/10.1109/TSG.2023.3253781
  • Chiou, S., Xu, G., Yan, J., and Huang, C.-Y. (2023): Regression modeling for recurrent events possibly with an informative terminal event using R package reReg. Journal of Statistical Software. 105(1): 1–34.https://doi.org/10.18637/jss.v105.i05
  • Cook NE, Gaudet CE, Kissingger-Knox, A, Liu C, Hunter, AA, et al. (2023). Race, ethnicity, and clinical outcome following sport-related concussion: a systematic review. Frontiers in Neurology 14() https://doi.org/10.3389/fneur.2023.1110539
  • David AB, Park CL, Sacco SJ, et.al. (2023) Meaning in life as a mechanism between perceived posttraumatic growth and subsequent mental health in OEF/OIF/OND military veterans.  The Journal of Positive Psychology https://doi.org/10.1080/17439760.2023.2218342
  • Dean, M., Kim, M. J., Dimauro, S., Tannenbaum, S., Graham, G., Liang, B. T., & Kim, A. S. (2023). Cardiac and noncardiac biomarkers in patients undergoing anthracycline chemotherapy–a prospective analysis. Cardio-Oncology, 9(1), 1-10. https://doi.org/10.1186/s40959-023-00174-1
  • Dieckhaus, K. D., Kim, M. J., Shen, J. B., et al. (2023). SARS-CoV-2 Antibody Dynamics in Healthcare Workers after mRNA Vaccination. Vaccines, 11(2), 358. https://doi.org/10.3390/vaccines11020358
  • Dykes PC, Curtin-Bowen M, Lipsitz S, Franz, C, Adelman, J., Adkison, L., Bogaisky, M., Carroll, D., Carter E., et al. (2023). Cost of Inpatient Falls and Cost-Benefit Analysis of Implementation of an Evidence-Based Fall Prevention Program. JAMA Health Forum 4(1):e225125. https://doi.org/10.1001/jamahealthforum.2022.5125
  • Gernant, S. A., Nigro, S. C., Cruess, D. G., Smith, M., & Rickles, N. M. (2023). Age, gender, and setting's effect on community pharmacists' stress and confidence in the COVID-19 pandemic. Exploratory Research in Clinical and Social Pharmacy, 9, 100239. https://doi.org/10.1016/j.rcsop.2023.100239
  • Hunter, A. A., Schwab-Reese, L., DiVietro, S., & Green, C. (2023). An examination of factors contributing to the racial disparity and disproportionality of pediatric firearm-related homicide: a mixed-methods analysis using the national violent death reporting system (NVDRS). Injury Prevention. http://dx.doi.org/10.1136/ip-2022-044733
  • Hunyong Cho, Yixiang Qu, Chuwen Liu, Boyang Tang, Ruiqi Lyu, Bridget M Lin, Jeffrey Roach, M Andrea Azcarate-Peril, Apoena Aguiar Ribeiro, Michael I Love, Kimon Divaris, Di Wu, Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data, Briefings in Bioinformatics, Volume 24, Issue 5, September 2023, bbad279, https://doi.org/10.1093/bib/bbad279
  • Kamolova M., Chen Y, Etuk,R.,  Sacco SJ, Kraus SW (2023). Differences within: Hypersexuality, Sensation Seeking and Pornography Viewing Behaviors in a Sample of Heterosexual, Gay, Bisexual, and Uncertain Men, Sexual Health & Compulsivity, 30:1, 100-122, https://doi.org/10.1080/26929953.2022.2162652
  • Kim, M. J., Aseltine, R., & Tabtabai, S. (2023). Predicting 30-day Readmission In Patients With A Primary Versus Secondary Diagnosis Of Heart Failure. Journal of Cardiac Failure, 29(4), 681. https://doi.org/10.1016/j.cardfail.2022.10.335
  • Kim, M., Aseltine, R., & Tabtabai, S. (2023). Readmission Patterns In Patients Admitted With Primary Or Secondary Diagnosis Of Heart Failure. Journal of Cardiac Failure, 29(4), 682. https://doi.org/10.1016/j.cardfail.2022.10.337
  • Khullar, D., Zhang, Y., Zang, C., Zu C., Wang F., et al. Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program. J GEN INTERN MED 38, 1127–1136 (2023). https://doi.org/10.1007/s11606-022-07997-1
  • Kronish IM, Phillips E, Alcántara C, Carter E et al. A Multifaceted Implementation Strategy to Increase Out-of-Office Blood Pressure Monitoring: The EMBRACE Cluster Randomized Clinical Trial. JAMA Netw Open.2023;6(9):e2334646. doi:10.1001/jamanetworkopen.2023.34646
  • Lautier, JP., Pozdnyakov, V, Yan J (2023). Estimating a discrete distribution subject to random left-truncation with an application to structured finance. Econometrics and Statistics, available online June2, 2023.  https://doi.org/10.1016/j.ecosta.2023.05.005
  • Lee JW, Harel, O. (2023). Incomplete clustering analysis via multiple imputation.  Journal of Applied Statistics,  50(9), 1962-1979. https://doi.org/10.1080/02664763.2022.2060952
  • Li, G., Li, Y., Chen, K. (2023). It’s all relative: Regression analysis with compositional predictors. Biometric Methodology 79(2)1318-1329.  https://doi.org/10.1111/biom.13703
  • Li, Y., Chen, K., Yan, J., & Zhang, X. (2023). Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation. The Annals of Applied Statistics, 17(1), 225-239. https://doi.org/10.1214/22-AOAS1624
  • Londonono Tobon, L., Condon, E., Slade, A., et al. (2023). Participation in an Attachment-Based Home Visiting Program Is Associated with Lower Child Salivary C-Reactive Protein Levels at Follow-Up.  Journal of Developmental & Behavioral Pediatrics. 44(4)e292-e299(8).  https://doi.org/10.1097/DBP.0000000000001180
  • Park CL, Sacco SJ, Kraus SW, Mazure CM, Hoff RA (2023). Demographic, deployment and post-deployment experiences predict trajectories of meaning in life in OEF/OIF/OND veterans, The Journal of Positive Psychology, 18:1, 167-177  https://doi.org/10.1080/17439760.2021.1991452
  • Park, C. L., Silverman, E. J., Sacco, S. J., Kim, D., Hall, M., McMartin, J., Kapic,K., Shannonhouse, L. David, AB. & Aten, J. (2023). When suffering contradicts belief: measuring theodical struggling. Current Psychology, 1-13. https://doi.org/10.1007/s12144-023-04642-w
  • Rawat BPS, Reisman J, Pogoda TK, Liu W, Rongali S, Aseltine RH Jr, Chen K, Tsai J, Berlowitz D, Yu H, Carlson KF. Intentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017. JMIR Public Health Surveill. 2023 Jul 24;9:e42803. https://doi.org/10.2196/42803. PMID: 37486751; PMCID: PMC10407646.
  • Rickles, N. M., Mulrooney, M., Sobieraj, D., et al (2023). A systematic review of primary care-focused, self-reported medication adherence tools. Journal of the American Pharmacists Association, 63(2), 477-490. https://doi.org/10.1016/j.japh.2022.09.007
  • Rogers, Steven C. Youth Suicide is 100% Preventable: 4 Things Parents Need to Know CCMC Blog 02/25/2023
  • Sacco, S. J., Chen, K., Wang, F., & Aseltine, R. (2023). Target-based fusion using social determinants of health to enhance suicide prediction with electronic health records. PLoS one, 18(4), e0283595. https://doi.org/10.1371/journal.pone.0283595
  • Shannonhouse L., McMartin J., Sacco, SJ, et al. (2023)   M Hall, CL Park, D Kim, Measurement of an emic Christian religious coping strategy. Spirituality in Clinical Practice.  The Journal of Positive Psychology, Advance online publication. https://doi.org/10.1080/17439760.2023.2218342
  • Stockton, B., Strange, C.C. & Harel, O. Now You See It, Now You Don’t: A Simulation and Illustration of the Importance of Treating Incomplete Data in Estimating Race Effects in Sentencing. J Quant Criminol (2023). https://doi.org/10.1007/s10940-023-09577-w
  • Swan, S., Hunter, A., Nowobilski, M., Knod, J., & Smith, S. (2022). Rates of Firearm-related Injuries in Children during COVID. (2022)  J. Investigative Medicine, 70(4), 1068-1069, Abstract#107. https://jim.bmj.com/content/70/4/977
  • Wang, F., Wang, H., & Yan, J. (2023). Diagnostic Tests for the Necessity of Weight in Regression With Survey Data. International Statistical Review, 91(1), 55-71. https://doi.org/10.1111/insr.12509
  • Wang W., Luo, C., Aseltine, R.H., Wang F., Yan J., Chen, K (2023) Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses. Stat Biosci (2023). https://doi.org/10.1007/s12561-023-09374-w
  • Xu, J., Wang, F., Zang, C. et al. Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records. Sci Rep 13, 8102 (2023). https://doi.org/10.1038/s41598-023-35258-6
  • Zang C., Hou Y., Jin J., Sacco S, Chen K., Aseltine R., Wang F. (2023). Accuracy and generalizability of machine learning models for adolescent suicide prediction with longitudinal clinical records. PREPRINT https://doi.org/10.2suevu1203/rs.3.rs-2790491/v1
  • Zang, C., Pan, W., & Wang, F. (2023, August). Mining Electronic Health Records for Real-World Evidence. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(pp. 5837-5838).
  • Zang, C., Zhang, Y., Xu, J. et al. Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative. Nat Commun 14, 1948 (2023). https://doi.org/10.1038/s41467-023-37653-z
  • Zhang, H., Zang, C., Xu, Z. et al. Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes. Nat Med 29, 226–235 (2023). https://doi.org/10.1038/s41591-022-02116-3
  • Zhang Y., Hu H., Fokaidis V., Lewis C, Jie Xu V, Zang C, Xu Z., Wang F., et al (2023). Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program, 11 https://doi.org/10.1016/j.envadv.2023.100352