| Publication | Date of Publication | Type |
|---|
| A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders | 2024-03-19 | Paper |
| Learning Non-monotone Optimal Individualized Treatment Regimes | 2024-01-29 | Paper |
| Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes | 2024-01-08 | Paper |
| A General Framework of Nonparametric Feature Selection in High-Dimensional Data | 2023-10-30 | Paper |
| On using electronic health records to improve optimal treatment rules in randomized trials | 2023-10-09 | Paper |
| Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records | 2023-09-16 | Paper |
| Integrative network learning for multimodality biomarker data | 2021-10-14 | Paper |
| Identifying disease‐associated biomarker network features through conditional graphical model | 2021-07-09 | Paper |
| Modelling temporal biomarkers with semiparametric nonlinear dynamical systems | 2021-04-08 | Paper |
| Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes | 2021-03-30 | Paper |
| Time-varying Hazards Model for Incorporating Irregularly Measured, High-Dimensional Biomarkers | 2020-11-16 | Paper |
| Multicategory classification via forward-backward support vector machine | 2020-10-12 | Paper |
| Leveraging nonlinear dynamic models to predict progression of neuroimaging biomarkers | 2020-09-16 | Paper |
| Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records | 2020-08-03 | Paper |
| SEMIPARAMETRIC TRANSFORMATION MODELS WITH MULTILEVEL RANDOM EFFECTS FOR CORRELATED DISEASE ONSET IN FAMILIES | 2019-11-19 | Paper |
| Early diagnosis of neurological disease using peak degeneration ages of multiple biomarkers | 2019-08-15 | Paper |
| Estimation and evaluation of linear individualized treatment rules to guarantee performance | 2019-03-13 | Paper |
| Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression | 2018-11-16 | Paper |
| Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies | 2018-10-23 | Paper |
| Predicting disease Risk by Transformation Models in the Presence of Missing Subgroup Identifiers | 2018-01-12 | Paper |
| Robust mixed effects model for clustered failure time data: application to Huntington's disease event measures | 2017-09-18 | Paper |
| Targeted Local Support Vector Machine for Age-Dependent Classification | 2017-08-07 | Paper |
| Sequential multiple assignment randomization trials with enrichment design | 2017-07-21 | Paper |
| SEMIPARAMETRIC REGRESSION ANALYSIS OF REPEATED CURRENT STATUS DATA [ | 2017-07-13 | Paper |
| Nonparametric distribution estimation in the presence of familial correlation and censoring | 2017-05-16 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2834499 | 2016-11-22 | Paper |
| Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration | 2016-05-30 | Paper |
| Variable selection and prediction with incomplete high-dimensional data | 2016-05-27 | Paper |
| Efficient estimation of nonparametric genetic risk function with censored data | 2015-12-11 | Paper |
| Fused kernel-spline smoothing for repeatedly measured outcomes in a generalized partially linear model with functional single index | 2015-10-30 | Paper |
| A note on a nonparametric regression test through penalized splines | 2015-04-28 | Paper |
| Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint | 2014-08-22 | Paper |
| Comment | 2014-04-01 | Paper |
| A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data | 2014-04-01 | Paper |
| Auxiliary Marker-Assisted Classification in the Absence of Class Identifiers | 2013-08-07 | Paper |
| Efficient distribution estimation for data with unobserved sub-population identifiers | 2013-05-28 | Paper |
| On Testing an Unspecified Function Through a Linear Mixed Effects Model with Multiple Variance Components | 2013-03-20 | Paper |
| Nonparametric Estimation for Censored Mixture Data With Application to the Cooperative Huntington’s Observational Research Trial | 2013-01-31 | Paper |
| Methods for analyzing multivariate phenotypes in genetic association studies | 2012-10-10 | Paper |
| Semiparametric variance components models for genetic studies with longitudinal phenotypes | 2012-08-08 | Paper |
| Predicting disease onset from mutation status using proband and relative data with applications to Huntington's disease | 2012-06-19 | Paper |
| A Penalized Spline Approach to Functional Mixed Effects Model Analysis | 2011-11-21 | Paper |
| Prediction-Based Structured Variable Selection through the Receiver Operating Characteristic Curves | 2011-11-21 | Paper |
| Unbiased and Locally Efficient Estimation of Genetic Effect on Quantitative Trait in the Presence of Population Admixture | 2011-07-19 | Paper |
| Efficient Nonparametric Estimation from Kin–Cohort Data | 2010-12-20 | Paper |
| Nonparametric estimation of age-at-onset distributions from censored kin-cohort data | 2008-03-11 | Paper |
| A Method for Estimating Penetrance from Families Sampled for Linkage Analysis | 2007-07-27 | Paper |
