Jeremy M G Taylor

发表

Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control arm.

Michael R Elliott, Emily K Roberts, Jeremy M G Taylor, 2021, Statistics in medicine.

Accounting for not‐at‐random missingness through imputation stacking

Lauren J Beesley, Lauren J. Beesley, Jeremy M G Taylor, 2021, Statistics in medicine.

Gene expression–based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study

Igor Jurisica, Kerby Shedden, Steven Eschrich, 2008, Nature Medicine.

Bayesian generalized monotonic functional mixed models for the effects of radiation dose histograms on normal tissue complications.

Xihong Lin, Matthew Schipper, Jeremy M G Taylor, 2007, Statistics in medicine.

Estimation of the optimal regime in treatment of prostate cancer recurrence from observational data using flexible weighting models

Lu Wang, Jeremy M G Taylor, J. M. Taylor, 2017, Biometrics.

Use of multiple imputation to correct for nonresponse bias in a survey of urologic symptoms among African-American men.

Trivellore E Raghunathan, Jeremy M G Taylor, John T. Wei, 2002, American journal of epidemiology.

The effect of salvage therapy on survival in a longitudinal study with treatment by indication

Douglas E Schaubel, Edward H. Kennedy, Jeremy M G Taylor, 2010, Statistics in medicine.

Indium-111-capromab pendetide radioimmunoscintigraphy and prognosis for durable biochemical response to salvage radiation therapy in men after failed prostatectomy.

Patrick W McLaughlin, Richard L Wahl, Brad H Pollock, 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Gene expression signatures for predicting prognosis of squamous cell and adenocarcinomas of the lung.

Yi Zhang, Jeremy M G Taylor, Jeremy MG Taylor, 2006, Cancer research.

Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach.

Cécile Proust-Lima, Jeremy M G Taylor, C. Proust-Lima, 2009, Biostatistics.

Development and Validation of a Quantitative Real-Time Polymerase Chain Reaction Classifier for Lung Cancer Prognosis

Sinae Kim, Nithya Ramnath, Jeremy M G Taylor, 2011, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model

Cécile Proust-Lima, Hélène Jacqmin-Gadda, Daniel Commenges, 2010, Biometrics.

Protein profiles associated with survival in lung adenocarcinoma

Hong Wang, Sharon L R Kardia, John Yee, 2003, Proceedings of the National Academy of Sciences of the United States of America.

Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays.

Kenneth H Buetow, James W Jacobson, Kevin K Dobbin, 2005, Clinical cancer research : an official journal of the American Association for Cancer Research.

A penalized likelihood approach for mixture cure models

Daniel Commenges, Pierre Joly, Fabien Corbière, 2009, Statistics in medicine.

Surrogacy marker paradox measures in meta-analytic settings.

Michael R Elliott, Jeremy M G Taylor, M. Elliott, 2015, Biostatistics.

Mixture cure model with random effects for the analysis of a multi-center tonsil cancer study.

Yingwei Peng, Jeremy M G Taylor, J. M. Taylor, 2011, Statistics in medicine.

Counterfactual Links to the Proportion of Treatment Effect Explained by a Surrogate Marker

Rodolphe Thiébaut, Jeremy M G Taylor, J. M. Taylor, 2005, Biometrics.

Hidden Markov model for defining genomic changes in lung cancer using gene expression data.

Sharon L R Kardia, Chiang-Ching Huang, Jeremy M G Taylor, 2006, Omics : a journal of integrative biology.

Joint partially linear model for longitudinal data with informative drop‐outs

Donglin Zeng, Sehee Kim, Jeremy M G Taylor, 2017, Biometrics.

A semi‐parametric accelerated failure time cure model

Chin-Shang Li, Jeremy M G Taylor, J. M. Taylor, 2002, Statistics in medicine.

Multiple imputation for interval censored data with auxiliary variables

Susan Murray, Daniel Commenges, Chiu-Hsieh Hsu, 2007, Statistics in medicine.

Residual-based model diagnosis methods for mixture cure models.

Yingwei Peng, Jeremy M G Taylor, 2017, Biometrics.

Personalized screening intervals for biomarkers using joint models for longitudinal and survival data.

Dimitris Rizopoulos, Ewout W Steyerberg, Johanna J M Takkenberg, 2015, Biostatistics.

A Bayesian model for time-to-event data with informative censoring.

Trivellore E Raghunathan, Niko A Kaciroti, Jeremy M G Taylor, 2012, Biostatistics.

Analysis on binary responses with ordered covariates and missing data

Lu Wang, Jeremy M G Taylor, J. M. Taylor, 2007, Statistics in medicine.

Proteomic analysis of lung adenocarcinoma: identification of a highly expressed set of proteins in tumors.

Sharon L R Kardia, Chiang-Ching Huang, David E. Misek, 2002, Clinical cancer research : an official journal of the American Association for Cancer Research.

Analysis of accelerated failure time data with dependent censoring using auxiliary variables via nonparametric multiple imputation.

Chengcheng Hu, Chiu-Hsieh Hsu, Jeremy M G Taylor, 2015, Statistics in medicine.

A shrinkage approach for estimating a treatment effect using intermediate biomarker data in clinical trials.

Roderick J A Little, Jeremy M G Taylor, Yun Li, 2011, Biometrics.

Stochastic Functional Data Analysis: A Diffusion Model‐Based Approach

Peter X-K Song, Jeremy M G Taylor, J. M. Taylor, 2011, Biometrics.

A Small-Sample Choice of the Tuning Parameter in Ridge Regression.

Bhramar Mukherjee, Philip S Boonstra, Jeremy M G Taylor, 2015, Statistica Sinica.

Nonparametric comparison of two survival functions with dependent censoring via nonparametric multiple imputation

Chiu-Hsieh Hsu, Jeremy M G Taylor, Chiu-Hsieh Hsu, 2009, Statistics in medicine.

Meta‐analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling

Debashis Ghosh, Daniel J Sargent, Jeremy M G Taylor, 2012, Biometrics.

Simple subgroup approximations to optimal treatment regimes from randomized clinical trial data.

Niko Kaciroti, Bin Nan, Jeremy M G Taylor, 2015, Biostatistics.

A Bayesian Approach to Surrogacy Assessment Using Principal Stratification in Clinical Trials

Michael R Elliott, Jeremy M G Taylor, J. M. Taylor, 2010, Biometrics.

Semiparametric Modeling of Longitudinal Measurements and Time‐to‐Event Data–A Two‐Stage Regression Calibration Approach

Xihong Lin, Wen Ye, Jeremy M G Taylor, 2008, Biometrics.

The joint modeling of a longitudinal disease progression marker and the failure time process in the presence of cure.

Jeremy M G Taylor, H. Sandler, Howard Sandler, 2002, Biostatistics.

Determinants of change in prostate-specific antigen over time and its association with recurrence after external beam radiation therapy for prostate cancer in five large cohorts.

Cécile Proust-Lima, Kyounghwa Bae, Donna P Ankerst, 2008, International journal of radiation oncology, biology, physics.

Individualized predictions of disease progression following radiation therapy for prostate cancer.

Menggang Yu, Jeremy M G Taylor, H. Sandler, 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Variable selection in monotone single‐index models via the adaptive LASSO

Bin Nan, Jeremy M G Taylor, J. M. Taylor, 2013, Statistics in medicine.

Distinct transcriptional profiles of adrenocortical tumors uncovered by DNA microarray analysis.

Paul G Gauger, Rork Kuick, David E. Misek, 2003, The American journal of pathology.

Surrogate markers and joint models for longitudinal and survival data.

Yan Wang, Jeremy M G Taylor, Jeremy M. G. Taylor, 2002, Controlled clinical trials.

Accurate molecular classification of human cancers based on gene expression using a simple classifier with a pathological tree-based framework.

Sharon L R Kardia, Stephen B Gruber, Donald R Schwartz, 2003, The American journal of pathology.

Gene Expression Patterns in Mismatch Repair-Deficient Colorectal Cancers Highlight the Potential Therapeutic Role of Inhibitors of the Phosphatidylinositol 3-Kinase-AKT-Mammalian Target of Rapamycin Pathway

Bhramar Mukherjee, Stephen B Gruber, Rork Kuick, 2009, Clinical Cancer Research.

Real‐Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models

Yongseok Park, Donna P Ankerst, Tom Pickles, 2013, Biometrics.

Cigarette use, comorbidities, and prognosis in a prospective head and neck squamous cell carcinoma population

Jeremy M G Taylor, L. Rozek, G. Wolf, 2016, Head & neck.

A Measure of the Proportion of Treatment Effect Explained by a Surrogate Marker

Jeremy M G Taylor, Yue Wang, J. M. Taylor, 2002, Biometrics.

Bayesian random threshold estimation in a Cox proportional hazards cure model

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