Sheng Luo

Follow

Generating author description...

All published works
Action Title Year Authors
+ PDF Chat Power and sample size calculation for multivariate longitudinal trials using the longitudinal rank sum test 2025 Dhrubajyoti Ghosh
Xiaoming Xu
Sheng Luo
+ A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to neurodegenerative disorders 2025 Xiaoming Xu
Dhrubajyoti Ghosh
Sheng Luo
+ PDF Chat 'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue 2024 R. S. Gao
X. J. Wu
Sheng Luo
Cheon Goo Han
Feng Liu
+ PDF Chat A novel longitudinal rank-sum test for multiple primary endpoints in clinical trials: Applications to neurodegenerative disorders 2024 Xiaoming Xu
Dhrubajyoti Ghosh
Sheng Luo
+ PDF Chat A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data 2024 Dhrubajyoti Ghosh
Sheng Luo
+ PDF Chat VLST: Virtual Lung Screening Trial for Lung Cancer Detection Using Virtual Imaging Trial. 2024 Fakrul Islam Tushar
Liesbeth Vancoillie
Cindy McCabe
Amar Kavuri
Lavsen Dahal
Brian P. Harrawood
Milo Fryling
Mojtaba Zarei
Saman Sotoudeh‐Paima
Fong Chi Ho
+ Projection-based two-sample inference for sparsely observed multivariate functional data 2024 Salil Koner
Sheng Luo
+ Bayesian inference and dynamic prediction for multivariate longitudinal and survival data 2023 Haotian Zou
Donglin Zeng
Luo Xiao
Sheng Luo
+ PDF Chat A rank-based test for clinical trials with multivariate longitudinal outcomes 2023 Xiaoming Xu
Dhrubajyoti Ghosh
Sheng Luo
+ PDF Chat Multivariate functional mixed model with MRI data: An application to Alzheimer's disease 2023 Haotian Zou
Luo Xiao
Donglin Zeng
Sheng Luo
+ Probabilistic-Bits based on Ferroelectric Field-Effect Transistors for Stochastic Computing 2023 Sheng Luo
Yihan He
Baofang Cai
Xiao Gong
Gengchiau Liang
+ Projection-based two-sample inference for sparsely observed multivariate functional data 2023 Salil Koner
Sheng Luo
+ Stochastic representation for solutions of a system of coupled HJB-Isaacs equations with integral-partial operators 2023 Sheng Luo
Wenqiang Li
Xun Li
Qingmeng Wei
+ Real Space Characterization of Nonlinear Hall Effect in Confined Directions 2023 Sheng Luo
Chuang‐Han Hsu
Guoqing Chang
Arun Bansil
Hsin Lin
Gengchiau Liang
+ Power and sample size calculation of two-sample projection-based testing for sparsely observed functional data 2023 Salil Koner
Sheng Luo
+ Ground-State Probabilistic Logic with the Simplest Binary Energy Landscape for Probabilistic Computing 2023 Yihan He
Sheng Luo
Chao Fang
Gengchiau Liang
+ Deep learning for the dynamic prediction of multivariate longitudinal and survival data 2022 Jeffrey Lin
Sheng Luo
+ Bayesian inference and dynamic prediction of multivariate joint model with functional data: An application to Alzheimer's disease 2021 Haotian Zou
Kan Li
Donglin Zeng
Sheng Luo
+ PDF Chat Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease 2021 Cai Li
Luo Xiao
Sheng Luo
+ PDF Chat Functional survival forests for multivariate longitudinal outcomes: Dynamic prediction of Alzheimer’s disease progression 2020 Jeffrey Lin
Kan Li
Sheng Luo
+ Fast covariance estimation for multivariate sparse functional data 2020 Cai Li
Luo Xiao
Sheng Luo
+ Dynamic prediction using joint models of longitudinal and recurrent event data: a Bayesian perspective 2019 Xuehan Ren
Jue Wang
Sheng Luo
+ PDF Chat Developing and Validating Risk Assessment Models of Clinical Outcomes in Modern Oncology 2019 Susan Halabi
Cai Li
Sheng Luo
+ PDF Chat A Bayesian approach for individual‐level drug benefit‐risk assessment 2019 Kan Li
Sheng Luo
Sammy Yuan
Shahrul Mt‐Isa
+ PDF Chat Bayesian functional joint models for multivariate longitudinal and time-to-event data 2018 Kan Li
Sheng Luo
+ PDF Chat Bayesian quantile regression joint models: Inference and dynamic predictions 2018 Ming Yang
Sheng Luo
Stacia M. DeSantis
+ PDF Chat Periodic benefit-risk assessment using Bayesian stochastic multi-criteria acceptability analysis 2018 Kan Li
Shuai Yuan
William Yang Wang
Shuyan Sabrina Wan
Paulette Ceesay
Joseph F. Heyse
Shahrul Mt‐Isa
Sheng Luo
+ Fast Covariance Estimation for Multivariate Sparse Functional Data 2018 Cai Li
Luo Xiao
Sheng Luo
+ Dynamic prediction for multiple repeated measures and event time data: An application to Parkinson’s disease 2017 Jue Wang
Sheng Luo
Liang Li
+ PDF Chat Bayesian regression model for recurrent event data with event-varying covariate effects and event effect 2017 Li‐An Lin
Sheng Luo
Barry R. Davis
+ PDF Chat Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer’s disease 2017 Kan Li
Sheng Luo
+ PDF Chat Functional joint model for longitudinal and time-to-event data: an application to Alzheimer's disease 2017 Kan Li
Sheng Luo
+ PDF Chat Bayesian hierarchical joint modeling using skew-normal/independent distributions 2017 Geng Chen
Sheng Luo
+ PDF Chat Empirical likelihood for quantile regression models with response data missing at random 2017 Sheng Luo
Shuxia Pang
+ Robust Bayesian Hierarchical Model Using Monte-Carlo Simulation 2017 Geng Chen
Sheng Luo
+ Dynamic Prediction of Renal Failure Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease 2016 Liang Li
Sheng Luo
Bo Hu
Tom Greene
+ PDF Chat Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective 2016 Huirong Zhu
Stacia M. DeSantis
Sheng Luo
+ PDF Chat Analysis of censored longitudinal data with skewness and a terminal event 2016 Xiao Su
Sheng Luo
+ PDF Chat A hidden Markov model approach to analyze longitudinal ternary outcomes when some observed states are possibly misclassified 2016 Julia S. Benoit
Wenyaw Chan
Sheng Luo
Hung‐Wen Yeh
Rachelle S. Doody
+ Analysis of censored longitudinal data with skewness and dependent censoring 2016 Xiao Su
Sheng Luo
+ Dynamic Prediction for Multiple Repeated Measures and Event Time Data: An Application to Parkinson's Disease 2016 Jue Wang
Sheng Luo
Liang Li
+ PDF Chat Robust Bayesian hierarchical model using normal/independent distributions 2015 Geng Chen
Sheng Luo
+ PDF Chat Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions 2015 Li‐An Lin
Sheng Luo
Bingshu E. Chen
Barry R. Davis
+ PDF Chat Augmented Beta rectangular regression models: A Bayesian perspective 2015 Jue Wang
Sheng Luo
+ PDF Chat Zero-inflated count models for longitudinal measurements with heterogeneous random effects 2015 Huirong Zhu
Sheng Luo
Stacia M. DeSantis
+ PDF Chat Bayesian multivariate augmented Beta rectangular regression models for patient-reported outcomes and survival data 2015 Jue Wang
Sheng Luo
+ PDF Chat Simultaneous inference of a misclassified outcome and competing risks failure time data 2015 Sheng Luo
Xiao Su
Min Yi
Kelly K. Hunt
+ Zero-inflated Poisson and negative binomial models for longitudinal measures with heterogeneous random effects 2015 Haiyuan Zhu
Sheng Luo
Stacia M. DeSantis
+ PDF Chat An Empirical Bayes Method for Multivariate Meta-analysis with an Application in Clinical Trials 2014 Yong Chen
Sheng Luo
Haitao Chu
Xiao Su
Lei Nie
+ PDF Chat Joint model for a diagnostic test without a gold standard in the presence of a dependent terminal event 2014 Sheng Luo
Xiao Su
Stacia M. DeSantis
Xuelin Huang
Min Yi
Kelly K. Hunt
+ mmeta: An R Package for Multivariate Meta-Analysis. 2014 Sheng Luo
Yong Chen
Xiao Su
Haitao Chu
+ PDF Chat Joint analysis of stochastic processes with application to smoking patterns and insomnia 2013 Sheng Luo
+ PDF Chat Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson’s disease 2013 Bo He
Sheng Luo
+ PDF Chat Bayesian Inference on Risk Differences: An Application to Multivariate Meta-Analysis of Adverse Events in Clinical Trials 2013 Yong Chen
Sheng Luo
Haitao Chu
Peng Wei
+ PDF Chat Robust Bayesian inference for multivariate longitudinal data by using normal/independent distributions 2013 Sheng Luo
Junsheng Ma
Karl Kieburtz
+ PDF Chat Bayesian multiple imputation for missing multivariate longitudinal data from a Parkinson's disease clinical trial 2012 Sheng Luo
Andrew Lawson
Bo He
Jordan J. Elm
Barbara C. Tilley
+ PDF Chat A Bayesian model for misclassified binary outcomes and correlated survival data with applications to breast cancer 2012 Sheng Luo
Min Yi
Xuelin Huang
Kelly K. Hunt
+ mmeta: Multivariate Meta-Analysis 2012 Sheng Luo
Yong Chen
Xiao Su
Haitao Chu
+ PDF Chat Binomial regression with a misclassified covariate and outcome 2012 Sheng Luo
Wenyaw Chan
Michelle A. Detry
Paul J. Massman
Rachelle S. Doody
+ PDF Chat Bayesian analysis on meta-analysis of case-control studies accounting for within-study correlation 2011 Yong Chen
Haitao Chu
Sheng Luo
Lei Nie
Sining Chen
+ A few remarks on ‘Statistical distribution of the difference of two proportions’ by Nadarajah and Kotz, <i>Statistics in Medicine</i> 2007; <b>26</b>(18):3518–3523 2011 Yong Chen
Sheng Luo
+ PDF Chat Analysis of Case-Control Association Studies: SNPs, Imputation and Haplotypes 2009 Nilanjan Chatterjee
Yi‐Hau Chen
Sheng Luo
Raymond J. Carroll
+ PDF Chat Bayesian Inference for Smoking Cessation with a Latent Cure State 2009 Sheng Luo
Ciprian M. Crainiceanu
Thomas A. Louis
Nilanjan Chatterjee
+ PDF Chat Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State 2008 Sheng Luo
Ciprian M. Crainiceanu
Thomas A. Louis
Nilanjan Chatterjee
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Joint modelling of longitudinal measurements and event time data 2000 Robert Henderson
16
+ Analysis of interval‐grouped recurrent‐event data using piecewise constant rate functions 1998 Jerald F. Lawless
Min Zhan
12
+ Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data 2011 Dimitris Rizopoulos
12
+ Functional Data Analysis for Sparse Longitudinal Data 2005 Fang Yao
Hans‐Georg MĂŒller
Jane-Ling Wang
10
+ PDF Chat Combining Dynamic Predictions From Joint Models for Longitudinal and Time-to-Event Data Using Bayesian Model Averaging 2014 Dimitris Rizopoulos
Laura A. Hatfield
Bradley P. Carlin
Johanna J.M. Takkenberg
10
+ A Joint Model for Survival and Longitudinal Data Measured with Error 1997 Michael Wulfsohn
Anastasios A. Tsiatis
10
+ The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo 2014 Matthew D. Homan
Andrew Gelman
10
+ PDF Chat Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains 2017 Clara Happ-Kurz
Sonja Greven
9
+ Joint Analysis of Correlated Repeated Measures and Recurrent Events Processes in the Presence of Death, with Application to a Study on Acquired Immune Deficiency Syndrome 2008 Lei Liu
Xuelin Huang
9
+ Bayesian Methods for Data Analysis 2008 Bradley P. Carlin
Thomas A. Louis
9
+ PDF Chat Bayesian Measures of Model Complexity and Fit 2002 David J. Spiegelhalter
Nicola Best
Bradley P. Carlin
Angelika van der Linde
8
+ A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data 2016 Liang Li
Tom Greene
Bo Hu
8
+ Bayesian methods for latent trait modelling of longitudinal data 2007 David B. Dunson
8
+ PDF Chat Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson’s disease 2013 Bo He
Sheng Luo
7
+ PDF Chat Misspecifying the Shape of a Random Effects Distribution: Why Getting It Wrong May Not Matter 2011 Charles E. McCulloch
John Neuhaus
7
+ Bayes Factors 1995 Robert E. Kass
Adrian E. Raftery
7
+ PDF Chat Bayesian Methods for Data Analysis 2010 Robert E. Weiss
7
+ PDF Chat Quantifying and Comparing Dynamic Predictive Accuracy of Joint Models for Longitudinal Marker and Time-to-Event in Presence of Censoring and Competing Risks 2014 Paul Blanche
CĂ©cile Proust‐Lima
Lucie LoubĂšre
Claudine Berr
Jean‐François Dartigues
HĂ©lĂšne Jacqmin‐Gadda
7
+ Fast covariance estimation for multivariate sparse functional data 2020 Cai Li
Luo Xiao
Sheng Luo
7
+ PDF Chat Linear and Nonlinear Mixed-Effects Models for Censored HIV Viral Loads Using Normal/Independent Distributions 2011 VĂ­ctor H. Lachos
Dipankar Bandyopadhyay
Dipak K. Dey
6
+ PDF Chat Adjusting O'Brien's Test to Control Type I Error for the Generalized Nonparametric Behrens–Fisher Problem 2005 Peng Huang
Barbara C. Tilley
Robert F. Woolson
Stuart R. Lipsitz
6
+ Selecting the Number of Knots for Penalized Splines 2002 David Ruppert
6
+ Estimating Normal Means with a Dirichlet Process Prior 1994 Michael Escobar
6
+ PDF Chat Functional Regression 2015 Jeffrey S. Morris
6
+ None 2000 David J. Lunn
Andrew C. Thomas
Nicky Best
David J. Spiegelhalter
6
+ Adaptive Rejection Metropolis Sampling within Gibbs Sampling 1995 Walter R. Gilks
Nicky Best
Keith Tan
6
+ Bayesian Approach for Nonlinear Random Effects Models 1997 Dipak K. Dey
Ming‐Hui Chen
Hong Chang
6
+ Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes 2004 Sik‐Yum Lee
Xinyuan Song
6
+ PDF Chat Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer’s disease 2017 Kan Li
Sheng Luo
6
+ PDF Chat Real‐Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models 2013 Jeremy M. G. Taylor
Yongseok Park
Donna P. Ankerst
CĂ©cile Proust‐Lima
Scott Williams
Larry L. Kestin
Kyoungwha Bae
Tom Pickles
Howard M. Sandler
6
+ PDF Chat Flexible smoothing with B-splines and penalties 1996 Paul H.C. Eilers
Brian D. Marx
5
+ PDF Chat Functional Data Analysis 2016 Jane-Ling Wang
Jeng‐Min Chiou
Hans‐Georg MĂŒller
5
+ Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker 2000 Patrick J. Heagerty
Thomas Lumley
Margaret S. Pepe
5
+ Shared parameter models under random effects misspecification 2008 Dimitris Rizopoulos
Geert Verbeke
Geert Molenberghs
5
+ Joint modelling of accelerated failure time and longitudinal data 2005 Yi‐Kuan Tseng
Fushing Hsieh
Jane-Ling Wang
5
+ Bayesian Approaches to Joint Cure‐Rate and Longitudinal Models with Applications to Cancer Vaccine Trials 2003 Elizabeth R. Brown
Joseph G. Ibrahim
5
+ PDF Chat Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validation 2014 Mbéry SÚne
Jeremy M. G. Taylor
James J. Dignam
HĂ©lĂšne Jacqmin‐Gadda
CĂ©cile Proust‐Lima
5
+ PDF Chat Multilevel functional principal component analysis 2009 Chongzhi Di
Ciprian M. Crainiceanu
Brian Caffo
Naresh M. Punjabi
5
+ SIMULTANEOUSLY MODELLING CENSORED SURVIVAL DATA AND REPEATEDLY MEASURED COVARIATES: A GIBBS SAMPLING APPROACH 1996 Cheryl L. Faucett
Duncan C. Thomas
5
+ PDF Chat Robustness of the linear mixed model to misspecified error distribution 2006 HĂ©lĂšne Jacqmin‐Gadda
Solenne Sibillot
CĂ©cile Proust‐Lima
Jean‐Michel Molina
Rodolphe Thiébaut
5
+ Analysis of Longitudinal Multiple-Source Binary Data Using Generalized Estimating Equations 2004 Liam M. O’Brien
Garrett M. Fitzmaurice
5
+ Estimating Bayes Factors via Posterior Simulation with the Laplace—Metropolis Estimator 1997 Steven M. Lewis
Adrian E. Raftery
5
+ A bivariate approach to meta‐analysis 1993 Hans C. van Houwelingen
Koos Zwinderman
Theo Stijnen
4
+ Bayesian P-Splines 2004 Stefan Lang
Andreas Brezger
4
+ A Rasch Hierarchical Measurement Model 2001 Kimberly S. Maier
4
+ PDF Chat Modelling the random effects covariance matrix in longitudinal data 2003 Michael J. Daniels
Yan D. Zhao
4
+ PDF Chat A Bayesian approach to joint analysis of longitudinal measurements and competing risks failure time data 2009 Wenhua Hu
Gang Li
Ning Li
4
+ Functional Mixed Effects Models 2002 Wensheng Guo
4
+ FUNCTIONAL PRINCIPAL COMPONENT ANALYSIS FOR LONGITUDINAL AND SURVIVAL DATA 2007 Fang Yao
4
+ Robust Locally Weighted Regression and Smoothing Scatterplots 1979 William S. Cleveland
4