Selected publications
See Google scholar for a full list
See Google scholar for a full list
Zhang Q, MacLehose RF, Collin LJ, Ahern TP, Lash TL. Parameterization of beta distributions for bias parameters of binary exposure misclassification in probabilistic bias analysis. Epidemiology. 2025 Mar 1;36(2):237-44.
Flanders WD, Waller LA, Zhang Q, Getahun D, Silverberg M, Goodman M. Negative control exposures: causal effect identifiability and use in probabilistic-bias and Bayesian analyses with unmeasured confounders. Epidemiology. 2022 Jul 27;33(6):832-9.
Anike O, Zhang Q, Bhasin S, Flanders WD, Getahun D, Haw JS, Huybrechts KF, Lash TL, McCracken CE, Roblin D, Silverberg MJ. Association between gender-affirming hormone therapy and measures of glucose metabolism: A longitudinal study. The Journal of Clinical Endocrinology & Metabolism. 2024 May 30:dgae353.
Goodman M, Zhang Q. (2021). Stroke and Blood Clot Risk in Transgender Women Taking Hormones. Patient-Centered Outcomes Research Institute (PCORI). https://doi.org/10.25302/05.2021.AD.SS4532
Zhang Q, Goodman M, Adams N, Banik S, Cornell T, Kreukels B, Motmans J, Snyder R, Coleman E. Epidemiological considerations in transgender health: A systematic review with focus on higher quality data. International Journal of Transgender Health 21, no. 2 (2020): 125-137.
Antun A, Zhang Q, Bradlyn A, Flanders WD, Getahun D, Lash TL, Nash R, Roblin D, Silverberg MJ, Tangpricha V, Vupputuri S, Goodman M. Longitudinal changes in hematologic parameters among transgender people receiving hormone therapy. Journal of the Endocrine Society 4, no. 11 (2020): bvaa119.
Zhang Q, MacLehose RF, Collin LJ, Ahern TP, Lash TL. Bayesian Priors for Bias Parameters of Binary Exposure Misclassification in Probabilistic Bias Analysis. Oral presentation at International Society of Pharmacoepidemiology (ISPE) Annual meeting, Berlin, Germany, August 2024
Zhang Q, Giulio Biscardi, Simone Colombara, Giovanni Toto, Carlo Zaccardi, Corwin Zigler. Heterogeneity of Comparative Treatment Effects on Patients with Lower Grade Glioma. Oral presentation at Data Research Camp (supported by the excellence program “Rethinking Data Science: advances in causal inference and statistical learning across domains”), Florence, Italy, July 2024
Zhang Q, Yu YH, Naimi AI. A Comparison of Causal Forests and the DR-Learner for Estimating Conditional Average Treatment Effects. Oral presentation at Society for Epidemiologic Research (SER), Austin, Texas, June 2024
Zhang Q, Guo Y, Lash TL, Sarker A, Goodman M. Text Classification Models for Natal Sex Identification from Electronic Health Records of Transgender Population, Poster presentation at Society for Epidemiologic Research (SER), Austin, Texas, June 2024
Zhang Q, Guo Y, Al-Garadi MA, Goodman M, Sarker A. Text Classification Models for Creating a Transgender Cohort from Electronic Health Records, Poster presentation at American Medical Informatics Association Annual Symposium (AMIA), New Orleans, LA, November 2023
Zhang Q, Goodman M. Hormone therapy and risk of venous thromboembolism in transgender women. Oral presentation at Mid-Year Meeting of the International Society of Pharmacoepidemiology (ISPE), Reykjavik, Iceland, April 2023.
Zhang Q, Sheng Y, He Y. Blind navigation: a belt compass system. Oral presentation at CERN Summer Webfest (Annual Hackathon), Meyrin, Switzerland, July 2016
Zhang Q, Guo Y, Al-Garadi M, Lash TL, Cromwell L, Getahun D, …, Sarker A, Goodman M. A validated transformer-based model to identify transgender and gender diverse people in electronic health records. JAMIA (under review).
Zhang Q, Guo Y, Lash TL, Sarker A, Goodman M. A validated natural language processing approach to identify natal sex among transgender and gender diverse people with electronic health records.