1. Functional and Parametric Modeling Methods for PET Imaging Data Shieh, Denise 2023 Theses BiometryParametric vibration--Mathematical modelsAxonsSerotonin
2. General Bayesian Calibration Framework for Model Contamination and Measurement Error Wang, Siquan 2023 Theses BiometryBiostatisticsBayesian statistical decision theoryMathematical statisticsAsthma in childrenIndoor air pollution--Measurement
3. Phase II/III Transitional Seamless Trial Designs with Different Objectives and Endpoint Types Tumasian III, Robert A. 2023 Theses BiometryDrugs--TestingClinical trials--Methodology
4. Functional Data Analysis and Machine Learning for High-Dimensional Structured Data Garcia de la Garza, Angel 2022 Theses BiometryNeurosciencesPublic healthMachine learning--Industrial applicationsSuicide--Risk factors
5. Statistical Methods for Learning Patients Heterogeneity and Treatment Effects to Achieve Precision Medicine Xu, Tianchen 2022 Theses BiometryBlood glucose--Physiological effectInsulin resistancePeriodontal diseaseMedical statistics
6. The Joint Modeling of Longitudinal Covariates and Censored Quantile Regression for Health Applications Hu, Bo 2022 Theses BiometryBiostatisticsAnalysis of covariance--Mathematical modelsQuantile regressionCensored observations (Statistics)
7. Analysis Approaches for Wearable Device Data Hilden, Patrick 2021 Theses BiometryWearable technologyCalorimeters
8. Bayesian Modeling in Personalized Medicine with Applications to N-of-1 Trials Liao, Ziwei 2021 Theses BiometryBayesian statistical decision theory--Mathematical modelsPersonalized medicineTherapeutics--Mathematical modelsPlacebos (Medicine)--Testing
9. Dynamic graphical models and curve registration for high-dimensional time course data McDonnell, Erin I. 2021 Theses BiometryHippocampus (Brain)Huntington's diseaseAlzheimer's diseaseLewy body dementiaBrain--ImagingCircadian rhythmsPhenotype
10. Regularized Greedy Gradient Q-Learning with Mobile Health Applications Lu, Xiaoqi 2021 Theses BiometryMobile appsSmoking cessationSubstance abuse--PreventionReinforcement learningMental healthMedical technology
11. Statistical and Machine Learning Methods for Precision Medicine Chen, Yuan 2021 Theses BiometryMachine learning--Statistical methodsMental illness--TreatmentDepression, Mental--TreatmentMedical care--Decision making
12. Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders Wang, Qinxia 2021 Theses BiometryNeurosciencesNervous system--DiseasesStatisticsAlcoholismCOVID-19 (Disease)--EpidemiologyElectroencephalography
13. Topics in Bayesian Design and Analysis for Sampling Liu, Yutao 2021 Theses BiometryBayesian statistical decision theory--Mathematical modelsEpidemiologySurveys
14. Optimal Treatment Regimes for Personalized Medicine and Mobile Health Oh, Eun Jeong 2020 Theses BiometryPersonalized medicineTherapeutics
15. Statistical Issues in Platform Trials with a Shared Control Group Overbey, Jessica Ryan 2020 Theses BiometryClinical trialsClinical trials--MethodologyMultiplicity (Mathematics)Error analysis (Mathematics)
16. Bayesian Modeling of Latent Heterogeneity in Complex Survey Data and Electronic Health Records Anthopolos, Rebecca 2019 Theses BiometryBayesian statistical decision theory--Mathematical modelsLongitudinal studiesMedical records--Data processing
17. Functional data analytics for wearable device and neuroscience data Wrobel, Julia Lynn 2019 Theses BiometryRegression analysisFunctional analysisNeurobiology
18. Machine Learning Methods for Personalized Medicine Using Electronic Health Records Wu, Peng 2019 Theses BiometryMedical records--Data processingMachine learningPersonalized medicine
19. Personalized Policy Learning with Longitudinal mHealth Data Hu, Xinyu 2019 Theses BiometryRecommender systems (Information filtering)Mobile appsElectronic data processing--MedicinePersonalized medicine
20. Quantile regression for zero-inflated outcomes Ling, Wodan 2019 Theses BiometryQuantile regressionMathematical modelsDistribution (Probability theory)