Dai Feng

发表

Bayesian Analysis of RNA-Seq Data Using a Family of Negative Binomial Models.

X. Nguyen, Weisheng Wu, Hui Jiang, 2017, Bayesian analysis.

Bayesian Approaches on Borrowing Historical Data for Vaccine Efficacy Trials

Dai Feng, Man Jin, G. Liu, 2020 .

Bayesian credible subgroup identification for treatment effectiveness in time-to-event data

R. Baumgartner, P. Schnell, S. Mt-Isa, 2020, PloS one.

MRI Tissue Classification Using High-Resolution Bayesian Hidden Markov Normal Mixture Models

Luke Tierney, Vincent A. Magnotta, Dai Feng, 2012 .

Bayesian random threshold estimation in a Cox proportional hazards cure model

Dai Feng, Lili Zhao, Jeremy M G Taylor, 2014, Statistics in medicine.

A comparison of confidence/credible interval methods for the area under the ROC curve for continuous diagnostic tests with small sample size

R. Baumgartner, Dai Feng, G. Cortese, 2017, Statistical methods in medical research.

A Robust Bayesian Estimate of the Concordance Correlation Coefficient

R. Baumgartner, V. Svetnik, Dai Feng, 2015, Journal of Biopharmaceutical Statistics.

Investigation of Cross-Species Translatability of Pharmacological MRI in Awake Nonhuman Primate - A Buprenorphine Challenge Study

Donald S. Williams, T. Reese, J. Evelhoch, 2014, PloS one.

Distinct BOLD fMRI Responses of Capsaicin-Induced Thermal Sensation Reveal Pain-Related Brain Activation in Nonhuman Primates

S. Derbyshire, J. Evelhoch, R. Baumgartner, 2016, PloS one.

Two-level approaches to missing data in longitudinal trials with daily patient-reported outcomes

Dai Feng, Man Jin, G. Liu, 2020, Statistical methods in medical research.

Target alignment in truncated kernel ridge regression

A. Amini, R. Baumgartner, Dai Feng, 2022, NeurIPS.

A unified Bayesian semiparametric approach to assess discrimination ability in survival analysis

J. M. Taylor, Guoan Chen, Lili Zhao, 2016, Biometrics.

SAT0492 Treatment Effects Measured by Dynamic Contrast Enhanced MRI and Ramris for Rheumatoid Arthritis

C. Beals, B. Dardzinski, E. Ashton, 2013 .

A closer look at the kernels generated by the decision and regression tree ensembles

R. Baumgartner, Dai Feng, 2022, Statistics in Biopharmaceutical Research.

A unified Bayesian hierarchical model for MRI tissue classification

Dong Liang, Luke Tierney, Dai Feng, 2014, Statistics in medicine.

Bayesian Estimation of Agreement of Biomarkers in Early Drug Development

R. Baumgartner, V. Svetnik, Dai Feng, 2019, Statistics in Biopharmaceutical Research.

(Decision and regression) tree ensemble based kernels for regression and classification pdf

Dai Feng, Richard Baumgartner, R. Baumgartner, 2020, ArXiv.

Deep Neural Networks for Survival Analysis Using Pseudo Values

Dai Feng, Lili Zhao, Lili Zhao, 2019, IEEE Journal of Biomedical and Health Informatics.

A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning pdf

Richard Baumgartner, Dai Feng, R. Baumgartner, 2021, ArXiv.

Random Forest (RF) Kernel for Regression, Classification and Survival pdf

Dai Feng, Richard Baumgartner, R. Baumgartner, 2020, ArXiv.

A Bayesian Framework for Estimating the Concordance Correlation Coefficient Using Skew-elliptical Distributions

Vladimir Svetnik, Dai Feng, Richard Baumgartner, 2018, The international journal of biostatistics.

Evaluation of an fMRI USPIO‐based assay in healthy human volunteers

Richard Baumgartner, Alexandre Coimbra, Dai Feng, 2017, Journal of magnetic resonance imaging : JMRI.

Evaluation of treatment efficacy using a Bayesian mixture piecewise linear model of longitudinal biomarkers

Brian Neelon, Marc Buyse, Dai Feng, 2015, Statistics in medicine.

Using the Latent Correlations to Measure the Association Between Continuous and Binary Markers With Repeated Measurements

V. Svetnik, Dai Feng, 2018 .

Statistical evaluation of test-retest studies in PET brain imaging

A. Joshi, R. Ogden, F. Zanderigo, 2018, EJNMMI Research.

Quantifying temporal correlations: A test–retest evaluation of functional connectivity in resting-state fMRI

Hernando Ombao, Richard Baumgartner, Mark Fiecas, 2013, NeuroImage.

A Comparison of Confidence Interval Methods for the Concordance Correlation Coefficient and Intraclass Correlation Coefficient with Small Number of Raters

R. Baumgartner, V. Svetnik, A. Coimbra, 2014, Journal of biopharmaceutical statistics.

Quantitative MRI biomarkers to characterize regional left ventricular perfusion and function in nonhuman primates during dobutamine‐induced stress: A reproducibility and reliability study

S. Sampath, J. Evelhoch, R. Baumgartner, 2017, Journal of magnetic resonance imaging : JMRI.

Nonparametric analysis of delayed treatment effects using single-crossing constraints.

Dai Feng, Nicholas C. Henderson, Kijoeng Nam, 2021, Biometrical journal. Biometrische Zeitschrift.

Magnetic resonance imaging of the hand and wrist in a randomized, double-blind, multicenter, placebo-controlled trial of infliximab for rheumatoid arthritis: Comparison of dynamic contrast enhanced assessments with semi-quantitative scoring

C. Beals, B. Dardzinski, E. Ashton, 2017, PloS one.

Characterization of Regional Left Ventricular Function in Nonhuman Primates Using Magnetic Resonance Imaging Biomarkers: A Test-Retest Repeatability and Inter-Subject Variability Study

S. Sampath, J. Evelhoch, R. Baumgartner, 2015, PloS one.

A Bayesian estimate of the concordance correlation coefficient with skewed data

Vladimir Svetnik, Dai Feng, Richard Baumgartner, 2015, Pharmaceutical statistics.

BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values

Lili Zhao, Dai Feng, 2021, Journal of Data Science.

Quantifying temporal correlations: A test–retest evaluation of functional connectivity in resting-state fMRI

Dan van Lunen, H. Ombao, M. Fiecas, 2013, NeuroImage.

Bayesian Analysis of RNA-Seq Data Using a Family of Negative Binomial Models.

X. Nguyen, Weisheng Wu, Hui Jiang, 2017, Bayesian analysis.

A short note on jackknifing the concordance correlation coefficient

R. Baumgartner, V. Svetnik, Dai Feng, 2014, Statistics in medicine.

Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees

Andy Liaw, Vladimir Svetnik, Robert P Sheridan, 2019, J. Chem. Inf. Model..