Statistical Methodology

*indicates corresponding authors

Precision Prevention and Precision Treatment

He, Q., Zhang, S., LeBlanc, ML, Zhao, YQ* (2024) ‘Estimating individualized treatment rules by optimizing the adjusted probability of a longer survival’,  Statistical Methods in Medical Research, in press. Link  Software

Dong, X., Zhao, YQ* (2024) ‘Estimating individualized treatment regimes to optimize incremental cost-effectiveness ratio’,  Statistics in Biosciences, in press. Link

Liang, M, Choi, Y-G, Ning, Y., Smith, M. A., Zhao, Y. Q.* (2022) “Estimation and inference on high dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score”, Journal of Machine Learning Research, 23 (262), pp. 1-65. PMCID: PMC10720606. Link, Software

Pan Y, Zhao YQ* (2021) Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules. Journal of the American Statistical Association, 116(533), pp. 283-294 DOI: 10.1080/01621459.2020.1725522. PMCID: PMC8132732. Link, Software

Meng H, Zhao,YQ, Fu H, Qiao X (2020) Near-optimal Individualized Treatment Recommendations. Journal of Machine Learning Research, 20(48), 1-28. PMCID: PMC8324003. Link

Wang Y, Zhao YQ, Zheng Y (2020) Learning-based Biomarker-assisted Rules for Optimized Clinical Benefit under a Risk-constraint. Biometrics 2020 76(3), pp. 853-862.  PMCID: PMC7292743. Link, Software

Zhao YQ*, Laber EB, Ning Y, Saha S, Sands B (2019) Efficient augmentation and relaxation learning for treatment regimes using observational data. Journal of Machine Learning Research 20(48)1-23.  PMCID: PMC6705615. Link, Software, Supplementary

Zhu R, Zhao YQ, Chen G, Ma S, Zhao H (2017) Greedy outcome weighted tree learning of optimal personalized treatment rules. Biometrics Jun;73(2):391-400. PMCID: PMC5378692. Link

Xu Y, Yu M, Zhao YQ, Li Q, Wang S, Shao J (2015) Regularized outcome weighted subgroup identification for differential treatment effects. Biometrics Sep;71(3):645-53. PMCID: PMC5395466. [An earlier version won an ENAR John Van Ryzin Award] Link

Laber EB, Zhao YQ (2015) Tree-based methods for individualized treatment regimes. Biometrika 2015;102(3):501-514. PMCID: PMC4755313. Link

Zhao YQ, Zeng D, Laber EB, Song R, Yuan M, Kosorok MR (2015) Doubly Robust Learning for Estimating Individualized Treatment with Censored Data. Biometrika 2015 Mar 1;102(1):151-168. PMCID: PMC4414056. Link

Zhao YQ, Zeng D, Rush AJ, Kosorok MR (2012) Estimating Individualized Treatment Rules Using Outcome Weighted Learning. Journal of the American Statistical Association  2012 Sep 1;107(449):1106-1118. PMCID: PMC3636816.  Link, Software,

Dynamic Treatment/Surveillance Regimens

Dong, X., Zheng, Y., Zhao, Y. Q.∗(2023) ‘Constructing stabilized dynamic surveillance rules for optimal monitoring schedule’,  Biometrics, 79(4), 3895-3906. PMCID: PMC10866138. [⋆⋆ An earlier version won an ENAR Distinguished Student Paper Award ⋆⋆]  Link,  Software

Zhao YQ*, Zhu R, Chen G, Zheng Y (2020) Constructing dynamic treatment regimes with shared parameters for censored data. Statistics in Medicine 2020 39(9), 1250-1263. PMCID: PMC7305816.Link, Software

Chakraborty B, Laber E, Zhao YQ (2013) Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme. Biometrics 2013; 69;714-723. PMCID: PMC3864701 Link, Software

Zhao YQ, Zeng D, Laber EB, Kosorok MR (2015) New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes. Journal of the American Statistical Association, 110(510):583-598. PMCID: PMC4517946. Link, Software

Design and Analysis of Clinical Therapeutic and Early Detection Trials

Zhu, K., Zhao, YQ, Zheng, Y. (2024) ‘Designing cancer screening trials for reduction in late-stage cancer incidence’, Accepted, Biometrics.
[⋆⋆ An earlier version won an ENAR Distinguished Student Paper Award ⋆⋆]  App, Source Code

Zhang, S. , LeBlanc, M. L., Zhao, YQ.* (2022) Restricted survival benefit with right-censored data. Biometrical Journal 64(4), pp. 696-713.. Link, Software

Zhao YQ*, LeBlanc ML (2020) Designing precision medicine trials to yield greater population impact. Biometrics 76(2):643-653.  PMCID: PMC7211185. Link, Software

Zhao YQ*, Redman MW, LeBlanc ML (2019) Quantifying treatment effects using the personalized chance of longer survival. Statistics in Medicine 38:5317-5331. PMCID: PMC6842038.  Link

Minsker S, Zhao YQ*, Cheng G (2016) Active Clinical Trials for Personalized Medicine. Journal of the American Statistical Association, 111(514):875-887. PMCID: PMC5179145. Link, Software

Laber EB, Zhao YQ, Regh T, Davidian M, Tsiatis A, Stanford JB, Zeng D, Song R, Kosorok MR (2016) Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy. Statistics in Medicine, 15;35(8):1245-56. PMCID: PMC4777666. Link

Esserman D, Zhao YQ, Tang Y, Cai J (2013) Sample size estimation in educational intervention trials with subgroup heterogeneity in only one arm. Statistics in Medicine, May 30;32(12):2140-54. PMCID: PMC3615113. Link

Nadkarni NV, Zhao YQ, Kosorok MR (2011)  Inverse regression estimation for censored data. Journal of the American Statistical Association, Mar 1;106(493):178-190. PMCID: PMC3110674. Link

Electronic Medical Records and Real-World Studies

Pan, Y. , Laber, E. B., Smith, M. A., Zhao, YQ* (2023) Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records. Journal of the American Statistical Association, 118(542),1090-1101. PMCID: PMC10274334.  Link, Software

Zhao YQ*, Norton D, Hanrahan L (2021) Small area estimation and childhood obesity surveillance using electronic health records. PLOS One,  16(2):e0247476. doi: 10.1371/journal.pone.0247476.  PMCID: PMC7895416. Link

Choi, Y-G, Hanrahan, LP, Norton, D, Zhao, YQ.* (2022) Simultaneous spatial smoothing and outlier using penalized regression, with application to childhood obesity surveillance from electronic health records. Biometrics 78(1), pp. 324-336. DOI: 10.1111/biom.13404. PMCID: PMC9138186.  Link, Software  
[⋆⋆ Results featured as cover image of Biometrics March 2022 issue. ⋆⋆] 

Zhao YQ*, Zeng D,Tangen CM, LeBlanc ML (2019) Robustifying Trial-Derived Treatment Rules to a Target Population. Electronic Journal of Statistics, 13(1):1717-1743. PMCID: PMC6705616  Link, Software

Zhao YQ, Zeng D, Herring AH, Ising A, Waller A, Richardson D, Kosorok MR (2011) Detecting disease outbreaks using local spatiotemporal methods. Biometrics, Dec;67(4):1508-17. PMCID: PMC3698245. Link

Selected Collaborations

Chari ST, Maitra A, Matrisian LM, Shrader EE, Wu BU, Kambadakone A, Zhao YQ, Kenner B, Rinaudo JAS, Srivastava S, Huang Y, Feng Z; Early Detection Initiative Consortium (2021) Early Detection Initiative: A randomized controlled trial of algorithm-based screening in patients with new onset hyperglycemia and diabetes for early detection of pancreatic ductal adenocarcinoma. Contemp Clin Trials, Dec 23;113:106659. doi: 10.1016/j.cct.2021.106659.  PMCID: PMC8844106. Link 

Bartels CM, Johnson H, Voelker KV, Ogdie A, McBride P, Jacobs EA, Zhao YQ, Smith M (2018) Frequency and predictors of communication about high blood pressure in rheumatoid arthritis visits. Journal of Clinical Rheumatology, 24(4):210–217. PMCID: PMC5962363. Link

Flood TL, Zhao YQ, Tomayko EJ, Tandias A, Carrel AL, Hanrahan LP (2015) Electronic health records and community health surveillance of childhood obesity. Am J Prev Med. Feb;48(2):234-240. PMCID: PMC4435797. Link

Saha S, Zhao YQ, Shah SA, Esposti SD, Lidofsky S, Shapiro J, Leleiko N, Bright R, Law M, Moniz H, Samad Z, Merrick M, Sands BE (2015) Body image dissatisfaction in patients with inflammatory bowel disease. Inflamm Bowel Dis, Feb;21(2):345-52.  PMCID: PMC4373552. Link

Saha, S., Zhao, YQ., Shah, S., Esposti, S. D., Lidofsky, S., Salih, S., Bright, R., Law, M., Moniz, H., Flowers, N., Merrick, M., Sands, B. E. (2014) “Menstrual Cycle Changes in Women with Inflammatory Bowel Disease: A Study from the Ocean State Crohn’s and Colitis Area Registry”. Inflammatory Bowel Diseases, Vol 20, pp. 534-540.  Link