Yize Zhao, PhD
Associate Professor of Biostatistics
Research & Publications
Biography
News
Locations
Coauthors
Selected Publications
- Sex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adultsGui Y, Zhou X, Wang Z, Zhang Y, Wang Z, Zhou G, Zhao Y, Liu M, Lu H, Zhao H. Sex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults. Translational Psychiatry 2022, 12: 347. PMID: 36028495, PMCID: PMC9418275, DOI: 10.1038/s41398-022-02041-6.
- Bayesian network mediation analysis with application to the brain functional connectomeZhao Y, Chen T, Cai J, Lichenstein S, Potenza M, Yip S. Bayesian network mediation analysis with application to the brain functional connectome. Statistics In Medicine 2022, 41: 3991-4005. PMID: 35795965, PMCID: PMC10131252, DOI: 10.1002/sim.9488.
- Pursuing sources of heterogeneity in modeling clustered population.Li Y, Yu C, Zhao Y, Yao W, Aseltine RH, Chen K. Pursuing sources of heterogeneity in modeling clustered population. Biometrics 2022, 78: 716-729. PMID: 33527347, DOI: 10.1111/biom.13434.
- Using machine learning to predict heavy drinking during outpatient alcohol treatmentRoberts W, Zhao Y, Verplaetse T, Moore KE, Peltier MR, Burke C, Zakiniaeiz Y, McKee S. Using machine learning to predict heavy drinking during outpatient alcohol treatment. Alcohol Clinical And Experimental Research 2022, 46: 657-666. PMID: 35420710, PMCID: PMC9180421, DOI: 10.1111/acer.14802.
- A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risksLi F, Lu W, Wang Y, Pan Z, Greene EJ, Meng G, Meng C, Blaha O, Zhao Y, Peduzzi P, Esserman D. A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks. Statistical Methods In Medical Research 2022, 31: 1224-1241. PMID: 35290139, PMCID: PMC10518064, DOI: 10.1177/09622802221085080.
- Bayesian Interaction Selection Model for Multimodal Neuroimaging Data AnalysisZhao Y, Wu B, Kang J. Bayesian Interaction Selection Model for Multimodal Neuroimaging Data Analysis. Biometrics 2022, 79: 655-668. PMID: 35220581, PMCID: PMC9418386, DOI: 10.1111/biom.13648.
- Identifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data.Bao J, Wen Z, Kim M, Zhao X, Lee BN, Jung SH, Davatzikos C, Saykin AJ, Thompson PM, Kim D, Zhao Y, Shen L, . Identifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data. Biocomputing 2022, 27: 109-120. PMID: 34890141, PMCID: PMC8730532.
- Identifying imaging genetic associations via regional morphometricity estimation.Bao J, Wen Z, Kim M, Saykin AJ, Thompson PM, Zhao Y, Shen L. Identifying imaging genetic associations via regional morphometricity estimation. Biocomputing 2022, 27: 97-108. PMID: 34890140, PMCID: PMC8730533.
- Identifying highly heritable brain amyloid phenotypes through mining Alzheimer’s imaging and sequencing biobank dataBao J, Wen Z, Kim M, Zhao X, Lee B, Jung S, Davatzikos C, Saykin A, Thompson P, Kim D, Zhao Y, Shen L. Identifying highly heritable brain amyloid phenotypes through mining Alzheimer’s imaging and sequencing biobank data. 2021, 109-120. DOI: 10.1142/9789811250477_0011.
- A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging TraitsZhao Y, Zhao X, Kim M, Bao J, Shen L. A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. 2021, 12905: 678-687. PMID: 35299630, PMCID: PMC8922551, DOI: 10.1007/978-3-030-87240-3_65.
- Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular dataZhao Y, Chang C, Hannum M, Lee J, Shen R. Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data. Scientific Reports 2021, 11: 5146. PMID: 33664338, PMCID: PMC7933297, DOI: 10.1038/s41598-021-84514-0.
- Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.Yingxuan E, Yao X, Liu K, Risacher SL, Saykin AJ, Long Q, Zhao Y, Shen L. Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA Annual Symposium Proceedings 2021, 2020: 422-431. PMID: 33936415, PMCID: PMC8075527.
- Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypesZhao Y, Li T, Zhu H. Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes. Biostatistics 2020, 23: 467-484. PMID: 32948880, PMCID: PMC9308456, DOI: 10.1093/biostatistics/kxaa035.
- A pilot study of 13N-ammonia cardiac PET imaging to assess subacute cardiotoxicity following adjuvant intensity-modulated radiotherapy for locally advanced breast cancerNehmeh S, Fox J, Schwartz J, Ballangrud Å, Schöder H, Zhao Y, Strauss H, Yu A, Gupta D, Powell S, Ho A. A pilot study of 13N-ammonia cardiac PET imaging to assess subacute cardiotoxicity following adjuvant intensity-modulated radiotherapy for locally advanced breast cancer. Clinical Imaging 2020, 68: 283-290. PMID: 32919154, PMCID: PMC8207896, DOI: 10.1016/j.clinimag.2020.07.026.
- Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping.Zhang S, Chiang GC, Knapp JM, Zecca CM, He D, Ramakrishna R, Magge RS, Pisapia DJ, Fine HA, Tsiouris AJ, Zhao Y, Heier LA, Wang Y, Kovanlikaya I. Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping. Journal Of Neuroradiology. Journal De Neuroradiologie 2020, 47: 272-277. PMID: 31136748, PMCID: PMC6876125, DOI: 10.1016/j.neurad.2019.05.002.
- Decreased sphingolipid synthesis in children with 17q21 asthma–risk genotypesOno JG, Kim BI, Zhao Y, Christos PJ, Tesfaigzi Y, Worgall TS, Worgall S. Decreased sphingolipid synthesis in children with 17q21 asthma–risk genotypes. Journal Of Clinical Investigation 2020, 130: 921-926. PMID: 31929190, PMCID: PMC6994114, DOI: 10.1172/jci130860.
- A Systematic Review of 639 Patients with Biopsy-confirmed Nephrogenic Systemic Fibrosis.Attari H, Cao Y, Elmholdt TR, Zhao Y, Prince MR. A Systematic Review of 639 Patients with Biopsy-confirmed Nephrogenic Systemic Fibrosis. Radiology 2019, 292: 376-386. PMID: 31264946, DOI: 10.1148/radiol.2019182916.
- Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection.Zhao Y, Zhu H, Lu Z, Knickmeyer RC, Zou F. Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection. Genetics 2019, 212: 397-415. PMID: 31010934, PMCID: PMC6553832, DOI: 10.1534/genetics.119.301906.
- Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data.Sun W, Chang C, Zhao Y, Long Q. Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data. Proceedings : ... IEEE International Conference On Big Data. IEEE International Conference On Big Data 2018, 2018: 1484-1493. PMID: 31041431, PMCID: PMC6486656, DOI: 10.1109/BigData.2018.8622484.
- Association networks in a matched case-control design – Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controlsKim MH, Banerjee S, Zhao Y, Wang F, Zhang Y, Zhu Y, DeFerio J, Evans L, Park S, Pathak J. Association networks in a matched case-control design – Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls. Journal Of Biomedical Informatics 2018, 87: 88-95. PMID: 30300713, PMCID: PMC6262847, DOI: 10.1016/j.jbi.2018.09.016.
- Dentate Nucleus Signal Intensity Decrease on T1-weighted MR Images after Switching from Gadopentetate Dimeglumine to Gadobutrol.Behzadi AH, Farooq Z, Zhao Y, Shih G, Prince MR. Dentate Nucleus Signal Intensity Decrease on T1-weighted MR Images after Switching from Gadopentetate Dimeglumine to Gadobutrol. Radiology 2018, 287: 816-823. PMID: 29533723, DOI: 10.1148/radiol.2018171398.
- Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data.Zhao Y, Kang J, Long Q. Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data. IEEE/ACM Transactions On Computational Biology And Bioinformatics / IEEE, ACM 2018, 15: 537-550. PMID: 29610102, PMCID: PMC5885321, DOI: 10.1109/TCBB.2015.2440244.
- Immediate Allergic Reactions to Gadolinium-based Contrast Agents: A Systematic Review and Meta-Analysis.Behzadi AH, Zhao Y, Farooq Z, Prince MR. Immediate Allergic Reactions to Gadolinium-based Contrast Agents: A Systematic Review and Meta-Analysis. Radiology 2018, 286: 471-482. PMID: 28846495, DOI: 10.1148/radiol.2017162740.
- Immediate Allergic Reactions to Gadolinium-based Contrast Agents: A Systematic Review and Meta-Analysis.Behzadi AH, Zhao Y, Farooq Z, Prince MR. Immediate Allergic Reactions to Gadolinium-based Contrast Agents: A Systematic Review and Meta-Analysis. Radiology 2018, 286: 731. PMID: 29356629, DOI: 10.1148/radiol.2017174037.
- Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson diseaseFreeze B, Acosta D, Pandya S, Zhao Y, Raj A. Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease. NeuroImage Clinical 2018, 18: 456-466. PMID: 29868450, PMCID: PMC5984599, DOI: 10.1016/j.nicl.2018.01.009.
- Regional vulnerability in Alzheimer's disease: The role of cell‐autonomous and transneuronal processesAcosta D, Powell F, Zhao Y, Raj A. Regional vulnerability in Alzheimer's disease: The role of cell‐autonomous and transneuronal processes. Alzheimer's & Dementia 2018, 14: 797-810. PMID: 29306583, PMCID: PMC5994366, DOI: 10.1016/j.jalz.2017.11.014.
- Variable Selection in the Presence of Missing Data: Imputation-based Methods.Zhao Y, Long Q. Variable Selection in the Presence of Missing Data: Imputation-based Methods. Wiley Interdisciplinary Reviews. Computational Statistics 2017, 9 PMID: 29085552, PMCID: PMC5659333, DOI: 10.1002/wics.1402.
- Bayesian network feature finder (BANFF): an R package for gene network feature selection.Lan Z, Zhao Y, Kang J, Yu T. Bayesian network feature finder (BANFF): an R package for gene network feature selection. Bioinformatics (Oxford, England) 2016, 32: 3685-3687. PMID: 27503223, PMCID: PMC5181536, DOI: 10.1093/bioinformatics/btw522.
- Multiple imputation in the presence of high-dimensional data.Zhao Y, Long Q. Multiple imputation in the presence of high-dimensional data. Statistical Methods In Medical Research 2016, 25: 2021-2035. PMID: 24275026, DOI: 10.1177/0962280213511027.
- Modeling clinical outcome using multiple correlated functional biomarkers: A Bayesian approach.Long Q, Zhang X, Zhao Y, Johnson BA, Bostick RM. Modeling clinical outcome using multiple correlated functional biomarkers: A Bayesian approach. Statistical Methods In Medical Research 2016, 25: 520-37. PMID: 23070593, PMCID: PMC3548954, DOI: 10.1177/0962280212460444.
- Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence.Zhao Y, Chung M, Johnson BA, Moreno CS, Long Q. Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence. Journal Of The American Statistical Association 2016, 111: 1427-1439. PMID: 28435175, PMCID: PMC5394568, DOI: 10.1080/01621459.2016.1164051.
- A BAYESIAN NONPARAMETRIC MIXTURE MODEL FOR SELECTING GENES AND GENE SUBNETWORKS.Zhao Y, Kang J, Yu T. A BAYESIAN NONPARAMETRIC MIXTURE MODEL FOR SELECTING GENES AND GENE SUBNETWORKS. The Annals Of Applied Statistics 2014, 8: 999-1021. PMID: 25984253, PMCID: PMC4433170, DOI: 10.1214/14-AOAS719.