S. Luo

发表

Prediction of Conversion to Alzheimer's Disease with Longitudinal Measures and Time-To-Event Data.

Kan Li, W. Chan, R. Doody, 2017, Journal of Alzheimer's disease : JAD.

Bayesian multivariate augmented Beta rectangular regression models for patient-reported outcomes and survival data

S. Luo, Jue Wang, 2017, Statistical methods in medical research.

Classification of Ipsilateral Breast Tumor Recurrences After Breast Conservation Therapy Can Predict Patient Prognosis and Facilitate Treatment Planning

M. Ross, H. Kuerer, K. Hunt, 2011, Annals of surgery.

Effect of creatine monohydrate on clinical progression in patients with Parkinson disease: a randomized clinical trial.

Tanya Simuni, Jordan J Elm, Debra Babcock, 2015, JAMA.

Handling missing values in the MDS‐UPDRS

Lu Wang, Barbara C Tilley, S. Luo, 2015, Movement disorders : official journal of the Movement Disorder Society.

MDS-Sponsored Scale Translation Program: Process, Format, and Clinimetric Testing Plan for the MDS-UPDRS and UDysRS (P2.052)

S. Luo, G. Stebbins, C. Goetz, 2014 .

Robust Bayesian hierarchical model using normal/independent distributions

S. Luo, Geng Chen, 2016, Biometrical journal. Biometrische Zeitschrift.

Bayesian multiple imputation for missing multivariate longitudinal data from a Parkinson's disease clinical trial

Andrew B Lawson, Jordan J Elm, Barbara C Tilley, 2016, Statistical methods in medical research.

IPMDS‐Sponsored Scale Translation Program: Process, Format, and Clinimetric Testing Plan for the MDS‐UPDRS and UDysRS

S. Luo, G. Stebbins, C. Goetz, 2014, Movement disorders clinical practice.

Reply to K.J. Van Zee et al

H. Kuerer, K. Hunt, S. Luo, 2012 .

Systematic review of severity scales and screening instruments for tics: Critique and recommendations

A. Cavanna, A. Hartmann, S. Luo, 2017, Movement disorders : official journal of the Movement Disorder Society.

Simultaneous inference of a misclassified outcome and competing risks failure time data

K. Hunt, S. Luo, M. Yi, 2015, Journal of applied statistics.

Autonomic and electrocardiographic findings in Parkinson's disease

R. Freeman, S. Luo, M. Aminoff, 2017, Autonomic Neuroscience.

Bayesian Inference for Smoking Cessation with a Latent Cure State

Sheng Luo, Thomas A Louis, Ciprian M Crainiceanu, 2009, Biometrics.

Joint model for a diagnostic test without a gold standard in the presence of a dependent terminal event

Min Yi, Xuelin Huang, Stacia M DeSantis, 2014, Statistics in medicine.

A Bayesian model for misclassified binary outcomes and correlated survival data with applications to breast cancer

Sheng Luo, Min Yi, Xuelin Huang, 2013, Statistics in medicine.

Bayesian Inference on Risk Differences: An Application to Multivariate Meta-Analysis of Adverse Events in Clinical Trials

Haitao Chu, Sheng Luo, Peng Wei, 2013, Statistics in biopharmaceutical research.

Binomial regression with a misclassified covariate and outcome

Sheng Luo, Wenyaw Chan, Michelle A Detry, 2016, Statistical methods in medical research.

mmeta: An R Package for Multivariate Meta-Analysis.

Haitao Chu, Yong Chen, H. Chu, 2014, Journal of statistical software.

Novel staging system for predicting disease-specific survival in patients with breast cancer treated with surgery as the first intervention: time to modify the current American Joint Committee on Cancer staging system.

G. Hortobagyi, H. Kuerer, K. Hunt, 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Measuring disease progression in early Parkinson disease: the National Institutes of Health Exploratory Trials in Parkinson Disease (NET-PD) experience.

S. Luo, B. Tilley, G. Ross, 2014, JAMA neurology.

Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions

Sheng Luo, Barry R Davis, Bingshu E. Chen, 2017, Statistical methods in medical research.

Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer’s disease

Sheng Luo, Kan Li, Kan Li, 2019, Statistical methods in medical research.

Functional joint model for longitudinal and time‐to‐event data: an application to Alzheimer's disease

Sheng Luo, Kan Li, Kan Li, 2017, Statistics in medicine.

Validation of the Hebrew version of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale.

S. Luo, G. Stebbins, Nir Giladi, 2017, Parkinsonism & related disorders.

A Bayesian approach to joint analysis of multivariate longitudinal data and parametric accelerated failure time

Sheng Luo, S. Luo, 2014, Statistics in medicine.

Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective

Sheng Luo, Stacia M DeSantis, Huirong Zhu, 2018, Statistical methods in medical research.

Robust Bayesian Hierarchical Model Using Monte-Carlo Simulation

Sheng Luo, Geng Chen, S. Luo, 2017 .

Bayesian hierarchical model for multiple repeated measures and survival data: an application to Parkinson's disease

S. Luo, Sheng Luo, Jue Wang, 2014, Statistics in medicine.

Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson’s disease

S. Luo, Sheng Luo, Bo He, 2016, Statistical methods in medical research.

An Empirical Bayes Method for Multivariate Meta-analysis with an Application in Clinical Trials

Haitao Chu, Lei Nie, Yong Chen, 2014, Communications in statistics: theory and methods.

Regular Exercise, Quality of Life, and Mobility in Parkinson's Disease: A Longitudinal Analysis of National Parkinson Foundation Quality Improvement Initiative Data.

Kan Li, S. Luo, T. Simuni, 2017, Journal of Parkinson's disease.

Gender‐, age‐, and race/ethnicity‐based differential item functioning analysis of the movement disorder society–sponsored revision of the Unified Parkinson's disease rating scale

J. Teresi, S. Luo, G. Stebbins, 2016, Movement disorders : official journal of the Movement Disorder Society.

Differential item functioning in the Unified Dyskinesia Rating Scale (UDysRS)

J. Teresi, S. Luo, G. Stebbins, 2017, Movement disorders : official journal of the Movement Disorder Society.

Official Japanese Version of the International Parkinson and Movement Disorder Society–Unified Parkinson's Disease Rating Scale: Validation Against the Original English Version

S. Luo, G. Stebbins, A. Takeda, 2014, Movement disorders clinical practice.

Evaluation of a breast cancer nomogram for predicting risk of ipsilateral breast tumor recurrences in patients with ductal carcinoma in situ after local excision.

H. Kuerer, K. Hunt, S. Luo, 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Relationship between Homocysteine and Muscle Strength Decline: The Baltimore Longitudinal Study of Aging

S. Luo, E. Simonsick, Michelle L Vidoni, 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

Bayesian analysis on meta-analysis of case-control studies accounting for within-study correlation

Sheng Luo, Haitao Chu, Lei Nie, 2015, Statistical methods in medical research.

Cross‐Cultural Differences of the Non‐Motor Symptoms Studied by the Traditional Chinese Version of the International Parkinson and Movement Disorder Society–Unified Parkinson's Disease Rating Scale

S. Luo, G. Stebbins, C. Goetz, 2017, Movement disorders clinical practice.

Vitamin B12 and homocysteine associations with gait speed in older adults: The Baltimore Longitudinal Study of Aging

S. Luo, E. Simonsick, Michelle L Vidoni, 2017, The journal of nutrition, health & aging.

Bayesian regression model for recurrent event data with event-varying covariate effects and event effect

B. Davis, S. Luo, Li-An Lin, 2018, Journal of applied statistics.

Dynamic Prediction of Motor Diagnosis in Huntington's Disease Using a Joint Modeling Approach.

Jane S. Paulsen, Jane S Paulsen, Kan Li, 2017, Journal of Huntington's disease.

Projection-based two-sample inference for sparsely observed multivariate functional data

S. Luo, Salil Koner, 2023, 2302.05612.

Impact of Depression on Progression of Impairment and Disability in Early Parkinson's Disease

Z. Mari, C. Christine, S. Luo, 2015, Movement disorders clinical practice.

Dynamic Prediction of Renal Failure Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease

Liang Li, Tom Greene, Bo Hu, 2016, Statistics in Biosciences.

Bayesian hierarchical joint modeling using skew-normal/independent distributions

Sheng Luo, Geng Chen, S. Luo, 2018, Commun. Stat. Simul. Comput..

Expanded and Independent Spanish Validation of the MDS‐Non Motor Rating Scale

S. Luo, G. Stebbins, C. Singer, 2023, Movement disorders clinical practice.

A hidden Markov model approach to analyze longitudinal ternary outcomes when some observed states are possibly misclassified

Sheng Luo, Hung-Wen Yeh, Wenyaw Chan, 2016, Statistics in medicine.

Predictors of intensive care unit length of stay and intracranial pressure in severe traumatic brain injury.

S. Luo, C. Robertson, C. Lazaridis, 2015, Journal of critical care.

Augmented Beta rectangular regression models: A Bayesian perspective

S. Luo, Jue Wang, 2016, Biometrical journal. Biometrische Zeitschrift.

Zero-inflated count models for longitudinal measurements with heterogeneous random effects

S. Luo, S. DeSantis, Huirong Zhu, 2017, Statistical methods in medical research.

DYNAMIC PREDICTION FOR MULTIPLE REPEATED MEASURES AND EVENT TIME DATA: AN APPLICATION TO PARKINSON'S DISEASE.

Liang Li, S. Luo, Liang Li, 2016, The annals of applied statistics.

Shrinkage estimation for robust and efficient screening of single‐SNP association from case‐control genome‐wide association studies

Bhramar Mukherjee, Nilanjan Chatterjee, Jinbo Chen, 2009, Genetic epidemiology.

Multidimensional latent trait linear mixed model: an application in clinical studies with multivariate longitudinal outcomes

S. Luo, Jue Wang, 2017, Statistics in medicine.

Independent Spanish Validation of the Unified Dyskinesia Rating Scale

S. Luo, G. Stebbins, C. Goetz, 2014, Movement disorders clinical practice.

Autonomic and electrocardiographic findings in Parkinson's disease

R. Freeman, S. Luo, M. Aminoff, 2017, Autonomic Neuroscience.

Robust Bayesian hierarchical model using normal/independent distributions

S. Luo, Geng Chen, 2016, Biometrical journal. Biometrische Zeitschrift.

Bayesian hierarchical model for multiple repeated measures and survival data: an application to Parkinson's disease

S. Luo, Jue Wang, 2014, Statistics in medicine.

A Bayesian approach to joint analysis of multivariate longitudinal data and parametric accelerated failure time

S. Luo, 2014, Statistics in medicine.

Robust Bayesian inference for multivariate longitudinal data by using normal/independent distributions

Sheng Luo, Junsheng Ma, Karl D Kieburtz, 2013, Statistics in medicine.

Analysis of Case-Control Association Studies: SNPs, Imputation and Haplotypes.

R. Carroll, N. Chatterjee, S. Luo, 2009, Statistical science : a review journal of the Institute of Mathematical Statistics.