Integrating the Predictiveness of a Marker with Its Performance as a Classifier (2008)
Pepe, Margaret S., Feng, Ziding, Huang, Ying, Longton, Gary, Prentice, Ross, Thompson, Ian M., ...
There are two popular statistical approaches to biomarker evaluation. One models the risk of disease (or disease outcome) with, for example, logistic regression. A marker is considered useful if it...
Evaluating the ROC Performance of Markers for Future Events (2007)
Pepe, Margaret, Zheng, Yingye, Jin, Yuying
Receiver operating characteristic (ROC) curves play a central role in the evaluation of biomarkers and tests for disease diagnosis. Predictors for event time outcomes can also be evaluated with ROC...
Evaluating the ROC Performance of Markers for Future Events (2007)
Pepe, Margaret, Zheng, Yingye, Jin, Yuying
Receiver operating characteristic (ROC) curves play a central role in the evaluation of biomarkers and tests for disease diagnosis. Predictors for event time outcomes can also be evaluated with ROC...
Evaluating the ROC Performance of Markers for Future Events (2007)
Pepe, Margaret, Zheng, Yingye, Jin, Yuying
Receiver operating characteristic (ROC) curves play a central role in the evaluation of biomarkers and tests for disease diagnosis. Predictors for event time outcomes can also be evaluated with ROC...
Evaluating the ROC Performance of Markers for Future Events (2007)
Pepe, Margaret, Zheng, Yingye, Jin, Yuying
Receiver operating characteristic (ROC) curves play a central role in the evaluation of biomarkers and tests for disease diagnosis. Predictors for event time outcomes can also be evaluated with ROC...
Long-Run Performance of Bayesian Model Averaging (2007)
Raftery, Adrian E., Zheng, Yingye
Hjort and Claeskens (HC) argue that statistical inference conditional on a single selected model underestimates uncertainty, and that model averaging is the way to remedy this; we strongly agree....
A Practical Multifaceted Approach to Selecting Differentially Expressed Genes (2007)
Consider a gene expression array study comparing two groups of subjects where the goal is to explore a large number of genes in order to select for further investigation a subset that appear to be...
A Practical Multifaceted Approach to Selecting Differentially Expressed Genes (2007)
Consider a gene expression array study comparing two groups of subjects where the goal is to explore a large number of genes in order to select for further investigation a subset that appear to be...
A Practical Multifaceted Approach to Selecting Differentially Expressed Genes (2007)
Consider a gene expression array study comparing two groups of subjects where the goal is to explore a large number of genes in order to select for further investigation a subset that appear to be...
Integrating the Predictiveness of a Marker with its Performance as a Classifier (2006)
Pepe, Margaret S., Feng, Ziding, Huang, Ying, Longton, Gary M., Prentice, Ross, Thompson, Ian M, ...
There are two popular statistical approaches to biomarker evaluation. One models the risk of disease (or disease outcome) using, for example, logistic regression. A marker is useful if it has a...
Integrating the Predictiveness of a Marker with its Performance as a Classifier (2006)
Pepe, Margaret S., Feng, Ziding, Huang, Ying, Longton, Gary M., Prentice, Ross, Thompson, Ian M, ...
There are two popular statistical approaches to biomarker evaluation. One models the risk of disease (or disease outcome) using, for example, logistic regression. A marker is useful if it has a...
Integrating the Predictiveness of a Marker with its Performance as a Classifier (2006)
Pepe, Margaret S., Feng, Ziding, Huang, Ying, Longton, Gary M., Prentice, Ross, Thompson, Ian M, ...
There are two popular statistical approaches to biomarker evaluation. One models the risk of disease (or disease outcome) using, for example, logistic regression. A marker is useful if it has a...
Integrating the Predictiveness of a Marker with its Performance as a Classifier (2006)
Pepe, Margaret S., Feng, Ziding, Huang, Ying, Longton, Gary M., Prentice, Ross, Thompson, Ian M, ...
There are two popular statistical approaches to biomarker evaluation. One models the risk of disease (or disease outcome) using, for example, logistic regression. A marker is useful if it has a...
The sensitivity and specificity of markers for event times (2006)
Cai, Tianxi, Pepe, Margaret Sullivan, Zheng, Yingye, Lumley, Thomas, Jenny, Nancy Swords
The statistical literature on assessing the accuracy of risk factors or disease markers as diagnostic tests deals almost exclusively with settings where the test, Y, is measured concurrently with...
Model Checking for ROC Regression Analysis (2005)
The Receiver Operating Characteristic (ROC) curve is a prominent tool for characterizing the accuracy of continuous diagnostic test. To account for factors that might invluence the test accuracy,...
Model Checking for ROC Regression Analysis (2005)
The Receiver Operating Characteristic (ROC) curve is a prominent tool for characterizing the accuracy of continuous diagnostic test. To account for factors that might invluence the test accuracy,...
Model Checking for ROC Regression Analysis (2005)
The Receiver Operating Characteristic (ROC) curve is a prominent tool for characterizing the accuracy of continuous diagnostic test. To account for factors that might invluence the test accuracy,...
Model Checking for ROC Regression Analysis (2005)
The Receiver Operating Characteristic (ROC) curve is a prominent tool for characterizing the accuracy of continuous diagnostic test. To account for factors that might invluence the test accuracy,...
Application of the Time-Dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers (2005)
Zheng, Yingye, Cai, Tianxi, Feng, Ziding
The rapid advancement in molecule technology has lead to the discovery of many markers that have potential applications in disease diagnosis and prognosis. In a prospective cohort study, information...
Application of the Time-Dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers (2005)
Zheng, Yingye, Cai, Tianxi, Feng, Ziding
The rapid advancement in molecule technology has lead to the discovery of many markers that have potential applications in disease diagnosis and prognosis. In a prospective cohort study, information...
Application of the Time-Dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers (2005)
Zheng, Yingye, Cai, Tianxi, Feng, Ziding
The rapid advancement in molecule technology has lead to the discovery of many markers that have potential applications in disease diagnosis and prognosis. In a prospective cohort study, information...
Application of the Time-Dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers (2005)
Zheng, Yingye, Cai, Tianxi, Feng, Ziding
The rapid advancement in molecule technology has lead to the discovery of many markers that have potential applications in disease diagnosis and prognosis. In a prospective cohort study, information...
The Sensitivity and Specificity of Markers for Event Times (2005)
Cai, Tianxi, Pepe, Margaret S., Lumley, Thomas, Zheng, Yingye, Swords Jenny, Nancy
The Sensitivity and Specificity of Markers for Event Times (2005)
Cai, Tianxi, Pepe, Margaret S., Lumley, Thomas, Zheng, Yingye, Swords Jenny, Nancy
The Sensitivity and Specificity of Markers for Event Times (2005)
Cai, Tianxi, Pepe, Margaret S., Lumley, Thomas, Zheng, Yingye, Swords Jenny, Nancy
The Sensitivity and Specificity of Markers for Event Times (2005)
Cai, Tianxi, Pepe, Margaret S., Lumley, Thomas, Zheng, Yingye, Swords Jenny, Nancy
The Sensitivity and Specificity of Markers for Event Times (2005)
Cai, Tianxi, Pepe, Margaret Sullivan, Zheng, Yingye, Lumley, Thomas, Swords Jenny, Nancy
The statistical literature on assessing the accuracy of risk factors or disease markers as diagnostic tests deals almost exclusively with settings where the test, Y, is measured concurrently with...
Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array (2004)
Zheng, Yingye, Pepe, Margaret S.
In a gene expression array study, the expression levels of thousands of genes are monitored simultaneously across various biological conditions on a small set of subjects. One goal of such studies is...
Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array (2004)
Zheng, Yingye, Pepe, Margaret S.
In a gene expression array study, the expression levels of thousands of genes are monitored simultaneously across various biological conditions on a small set of subjects. One goal of such studies is...
Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array (2004)
Zheng, Yingye, Pepe, Margaret S.
In a gene expression array study, the expression levels of thousands of genes are monitored simultaneously across various biological conditions on a small set of subjects. One goal of such studies is...
Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array (2004)
Zheng, Yingye, Pepe, Margaret S.
In a gene expression array study, the expression levels of thousands of genes are monitored simultaneously across various biological conditions on a small set of subjects. One goal of such studies is...
Semiparametric estimation of time-dependent ROC curves for longitudinal marker data (2004)
Zheng, Yingye, Heagerty, Patrick J.
One approach to evaluating the strength of association between a longitudinal marker process and a key clinical event time is through predictive regression methods such as a time‐dependent...
Survival Model Predictive Accuracy and ROC Curves (2003)
Heagerty, Patrick, Zheng, Yingye
The predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, or R^2, commonly used for continuous response models, or using...
Semiparametric Estimation of Time-Dependent: ROC Curves for Longitudinal Marker Data (2003)
Zheng, Yingye, Heagerty, Patrick
One approach to evaluating the strength of association between a longitudinal marker process and a key clinical event time is through predictive regression methods such as a time-dependent covariate...
Partly Conditional Survival Models for Longitudinal Data (2003)
Zheng, Yingye, Heagerty, Patrick
It is common in longitudinal studies to collect information on the time until a key clinical event, such as death, and to measure markers of patient health at multiple follow-up times. One approach...
Survival Model Predictive Accuracy and ROC Curves (2003)
Heagerty, Patrick, Zheng, Yingye
The predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, or R^2, commonly used for continuous response models, or using...
Semiparametric Estimation of Time-Dependent: ROC Curves for Longitudinal Marker Data (2003)
Zheng, Yingye, Heagerty, Patrick
One approach to evaluating the strength of association between a longitudinal marker process and a key clinical event time is through predictive regression methods such as a time-dependent covariate...
Partly Conditional Survival Models for Longitudinal Data (2003)
Zheng, Yingye, Heagerty, Patrick
It is common in longitudinal studies to collect information on the time until a key clinical event, such as death, and to measure markers of patient health at multiple follow-up times. One approach...
Survival Model Predictive Accuracy and ROC Curves (2003)
Heagerty, Patrick, Zheng, Yingye
The predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, or R^2, commonly used for continuous response models, or using...
Semiparametric Estimation of Time-Dependent: ROC Curves for Longitudinal Marker Data (2003)
Zheng, Yingye, Heagerty, Patrick
One approach to evaluating the strength of association between a longitudinal marker process and a key clinical event time is through predictive regression methods such as a time-dependent covariate...
Partly Conditional Survival Models for Longitudinal Data (2003)
Zheng, Yingye, Heagerty, Patrick
It is common in longitudinal studies to collect information on the time until a key clinical event, such as death, and to measure markers of patient health at multiple follow-up times. One approach...
Survival Model Predictive Accuracy and ROC Curves (2003)
Heagerty, Patrick, Zheng, Yingye
The predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, or R^2, commonly used for continuous response models, or using...
Semiparametric Estimation of Time-Dependent: ROC Curves for Longitudinal Marker Data (2003)
Zheng, Yingye, Heagerty, Patrick
One approach to evaluating the strength of association between a longitudinal marker process and a key clinical event time is through predictive regression methods such as a time-dependent covariate...
Partly Conditional Survival Models for Longitudinal Data (2003)
Zheng, Yingye, Heagerty, Patrick
It is common in longitudinal studies to collect information on the time until a key clinical event, such as death, and to measure markers of patient health at multiple follow-up times. One approach...
The Sensitivity and Specificity of Markers for Event Times (2003)
Cai, Tianxi, Pepe, Margaret S., Lumley, Thomas, Zheng, Yingye, Jenny, Nancy Swords
The statistical literature on assessing the accuracy of risk factors or disease markers as diagnostic tests deals almost exclusively with settings where the test, Y, is measured concurrently with...
The Sensitivity and Specificity of Markers for Event Times (2003)
Cai, Tianxi, Pepe, Margaret S., Lumley, Thomas, Zheng, Yingye, Jenny, Nancy Swords
The statistical literature on assessing the accuracy of risk factors or disease markers as diagnostic tests deals almost exclusively with settings where the test, Y, is measured concurrently with...
The Sensitivity and Specificity of Markers for Event Times (2003)
Cai, Tianxi, Pepe, Margaret S., Lumley, Thomas, Zheng, Yingye, Jenny, Nancy Swords
The statistical literature on assessing the accuracy of risk factors or disease markers as diagnostic tests deals almost exclusively with settings where the test, Y, is measured concurrently with...
The Sensitivity and Specificity of Markers for Event Times (2003)
Cai, Tianxi, Pepe, Margaret S., Lumley, Thomas, Zheng, Yingye, Jenny, Nancy Swords
The statistical literature on assessing the accuracy of risk factors or disease markers as diagnostic tests deals almost exclusively with settings where the test, Y, is measured concurrently with...
Long-Run Performance of Bayesian Model Averaging (2003)
Adrian E. Raftery, Yingye Zheng, Merlise Clyde, Jennifer Hoeting, David Madigan
Hjort and Claeskens (HC) argue that statistical inference conditional on a single selected model underestimates uncertainty, and that model averaging is the way to remedy this; we strongly agree....
LONG-RUN PERFORlVlANCE OF BAYESIAN lVI0DEL AVERAGING (2003)
Adrian E. Raftery, Yingye Zheng, Adrian E. Raftery, Yingye Zheng
Wa~;hiI]:gton, Box 354:)LL.;)eaLUe Jf>n::1,rtnlp.nt of ~tal;lstl'C:S, email: Hjort and Claeskens (HC) argue that statistical inference conditional on a single selected model underestimates...
Detection of Ductal Carcinoma In Situ in Women Undergoing Screening Mammography (2002)
Ernster, Virginia L., Ballard-Barbash, Rachel, Barlow, William E., Zheng, Yingye, Weaver, Donald L., Cutter, Gary, ...
Background: With the large number of women having mammography—an estimated 28.4 million U.S. women aged 40 years and older in 1998—the percentage of cancers detected as ductal carcinoma in situ...
Performance of Diagnostic Mammography for Women With Signs or Symptoms of Breast Cancer (2002)
Barlow, William E., Lehman, Constance D., Zheng, Yingye, Ballard-Barbash, Rachel, Yankaskas, Bonnie C., Cutter, Gary R., ...
Background: The performance of diagnostic mammography for women with signs or symptoms of breast cancer has not been well studied. We evaluated whether age, breast density, self-reported breast lump,...
Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array
In a gene expression array study, the expression levels of thousands of genes are monitored simultaneously across various biological conditions on a small set of subjects. One goal of such studies is...
Survival Model Predictive Accuracy and ROC Curves
Patrick Heagerty, Yingye Zheng
The predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, or R^2, commonly used for continuous response models, or using...
Semiparametric Estimation of Time-Dependent: ROC Curves for Longitudinal Marker Data
Yingye Zheng, Patrick Heagerty
One approach to evaluating the strength of association between a longitudinal marker process and a key clinical event time is through predictive regression methods such as a time-dependent covariate...
Partly Conditional Survival Models for Longitudinal Data
Yingye Zheng, Patrick Heagerty
It is common in longitudinal studies to collect information on the time until a key clinical event, such as death, and to measure markers of patient health at multiple follow-up times. One approach...
Time-Dependent Predictive Values of Prognostic Biomarkers With Failure Time Outcome
Zheng, Yingye, Cai, Tianxi, Pepe, Margaret S., Levy, Wayne C.
A Practical Multifaceted Approach to Selecting Differentially Expressed Genes
Consider a gene expression array study comparing two groups of subjects where the goal is to explore a large number of genes in order to select for further investigation a subset that appear to be...