Measures to Summarize and Compare the Predictive Capacity of Markers (2009)
The predictive capacity of a marker in a population can be described using the population distribution of risk (Huang et al. 2007; Pepe et al. 2008a; Stern 2008). Virtually all standard statistical...
Measures to Summarize and Compare the Predictive Capacity of Markers (2009)
The predictive capacity of a marker in a population can be described using the population distribution of risk (Huang et al. 2007; Pepe et al. 2008a; Stern 2008). Virtually all standard statistical...
Measures to Summarize and Compare the Predictive Capacity of Markers (2009)
The predictive capacity of a marker in a population can be described using the population distribution of risk (Huang et al. 2007; Pepe et al. 2008a; Stern 2008). Virtually all standard statistical...
Measures to Summarize and Compare the Predictive Capacity of Markers (2009)
The predictive capacity of a marker in a population can be described using the population distribution of risk (Huang et al. 2007; Pepe et al. 2008a; Stern 2008). Virtually all standard statistical...
Measures to Summarize and Compare the Predictive Capacity of Markers (2009)
The predictive capacity of a marker in a population can be described using the population distribution of risk (Huang et al., 2007; Pepe et al., 2008a; Stern, 2008). Virtually all standard...
Measures to Summarize and Compare the Predictive Capacity of Markers (2009)
The predictive capacity of a marker in a population can be described using the population distribution of risk (Huang et al., 2007; Pepe et al., 2008a; Stern, 2008). Virtually all standard...
Measures to Summarize and Compare the Predictive Capacity of Markers (2009)
The predictive capacity of a marker in a population can be described using the population distribution of risk (Huang et al., 2007; Pepe et al., 2008a; Stern, 2008). Virtually all standard...
Measures to Summarize and Compare the Predictive Capacity of Markers (2009)
The predictive capacity of a marker in a population can be described using the population distribution of risk (Huang et al., 2007; Pepe et al., 2008a; Stern, 2008). Virtually all standard...
Margaret Pepe, Mary Lou Thompson, Bao-ling Adam, George L. Wright, Yinsheng Qu, John D. Potter, ...
A data-analytic strategy for protein biomarker discovery: profiling of high-dimensional proteomic data for cancer detection
The performance of a well calibrated risk model, Risk(Y)=P(D=1|Y), can be characterized by the population distribution of Risk(Y) and displayed with the predictiveness curve. Better performance is...
The performance of a well calibrated risk model, Risk(Y)=P(D=1|Y), can be characterized by the population distribution of Risk(Y) and displayed with the predictiveness curve. Better performance is...
The performance of a well calibrated risk model, Risk(Y)=P(D=1|Y), can be characterized by the population distribution of Risk(Y) and displayed with the predictiveness curve. Better performance is...
The performance of a well calibrated risk model, Risk(Y)=P(D=1|Y), can be characterized by the population distribution of Risk(Y) and displayed with the predictiveness curve. Better performance is...
Accommodating Covariates in ROC Analysis (2008)
Janes, Holly, Longton, Gary M., Pepe, Margaret
Classification accuracy is the ability of a marker or diagnostic test to discriminate between two groups of individuals, cases and controls, and is commonly summarized using the receiver operating...
Estimation and Comparison of Receiver Operating Characteristic Curves (2008)
Pepe, Margaret, Longton, Gary M., Janes, Holly
The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a...
Accommodating Covariates in ROC Analysis (2008)
Janes, Holly, Longton, Gary M., Pepe, Margaret
Classification accuracy is the ability of a marker or diagnostic test to discriminate between two groups of individuals, cases and controls, and is commonly summarized using the receiver operating...
Estimation and Comparison of Receiver Operating Characteristic Curves (2008)
Pepe, Margaret, Longton, Gary M., Janes, Holly
The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a...
Accommodating Covariates in ROC Analysis (2008)
Janes, Holly, Longton, Gary M., Pepe, Margaret
Classification accuracy is the ability of a marker or diagnostic test to discriminate between two groups of individuals, cases and controls, and is commonly summarized using the receiver operating...
Estimation and Comparison of Receiver Operating Characteristic Curves (2008)
Pepe, Margaret, Longton, Gary M., Janes, Holly
The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a...
Accommodating Covariates in ROC Analysis (2008)
Janes, Holly, Longton, Gary M., Pepe, Margaret
Classification accuracy is the ability of a marker or diagnostic test to discriminate between two groups of individuals, cases and controls, and is commonly summarized using the receiver operating...
Estimation and Comparison of Receiver Operating Characteristic Curves (2008)
Pepe, Margaret, Longton, Gary M., Janes, Holly
The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a...
The predictiveness curve shows the population distribution of risk endowed by a marker or risk prediction model. It provides a means for assessing the model's capacity for risk stratification....
The predictiveness curve shows the population distribution of risk endowed by a marker or risk prediction model. It provides a means for assessing the model's capacity for risk stratification....
The predictiveness curve shows the population distribution of risk endowed by a marker or risk prediction model. It provides a means for assessing the model's capacity for risk stratification....
The predictiveness curve shows the population distribution of risk endowed by a marker or risk prediction model. It provides a means for assessing the model's capacity for risk stratification....
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...
The concept of covariate adjustment is well established in therapeutic and etiologic studies. However, it has received little attention in the growing area of medical research devoted to the...
The concept of covariate adjustment is well established in therapeutic and etiologic studies. However, it has received little attention in the growing area of medical research devoted to the...
The concept of covariate adjustment is well established in therapeutic and etiologic studies. However, it has received little attention in the growing area of medical research devoted to the...
The concept of covariate adjustment is well established in therapeutic and etiologic studies. However, it has received little attention in the growing area of medical research devoted to the...
Biomarker Evaluation Using the Controls as a Reference Population (2007)
The classification accuracy of a continuous marker is typically evaluated with the Receiver Operating Characteristic Curve. In this paper, we study an alternative conceptual framework, the...
Biomarker Evaluation Using the Controls as a Reference Population (2007)
The classification accuracy of a continuous marker is typically evaluated with the Receiver Operating Characteristic Curve. In this paper, we study an alternative conceptual framework, the...
Biomarker Evaluation Using the Controls as a Reference Population (2007)
The classification accuracy of a continuous marker is typically evaluated with the Receiver Operating Characteristic Curve. In this paper, we study an alternative conceptual framework, the...
Biomarker Evaluation Using the Controls as a Reference Population (2007)
The classification accuracy of a continuous marker is typically evaluated with the Receiver Operating Characteristic Curve. In this paper, we study an alternative conceptual framework, the...
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...
The case-control design is frequently used to study the discriminatory accuracy of a screening or diagnostic biomarker. Yet, the appropriate ratio in which to sample cases and controls has never been...
The case–control design is frequently used to study the discriminatory accuracy of a screening or diagnostic biomarker. Yet, the appropriate ratio in which to sample cases and controls has never...
Combining biomarkers to detect disease with application to prostate cancer (2003)
Etzioni, Ruth, Kooperberg, Charles, Pepe, Margaret, Smith, Robert, Gann, Peter H.
In early detection of disease, combinations of biomarkers promise improved discrimination over diagnostic tests based on single markers. An example of this is in prostate cancer screening, where...
Gender Gap in Cystic Fibrosis Mortality (1997)
Rosenfeld, Margaret, Davis, Robert, FitzSimmons, Stacey, Pepe, Margaret, Ramsey, Bonnie
The authors conducted the largest study to date of survival in cystic fibrosis. The study cohort consisted of all patients with cystic fibrosis seen at Cystic Fibrosis Foundation-accredited care...
MUHLEMANN, KATHRIN, ALEXANDER, E RUSSELL, WEISS, NOEL S, PEPE, MARGARET, SCHOPFER, KURT
Mūhlemann K (Institute of Medical Microbiology, Friedbūhistrasse 51, University of Berne, CH-3010 Berne, Switzerland), Alexander E R, Weiss N S, Pepe M, Schopfer K and the Swiss...
Combining Predictors for Classification Using the Area Under the ROC Curve
Margaret Pepe, Tianxi Cai, Zheng Zhang
We compare simple logistic regression with an alternative robust procedure for constructing linear predictors to be used for the two state classification task. Theoritical advantages of the robust...
Quantifying and Comparing the Accuracy of Binary Biomarkers When Predicting a Failure Time Outcome
Chaya Moskowitz, Margaret Pepe
The positive and negative predictive value are standard measures used to quantify the predictive accuracy of binary biomarkers when the outcome being predicted is also binary. When the biomarkers are...
Evaluating Markers for Selecting a Patient's Treatment
Selecting the best treatment for a patient's disease may be facilitated by evaluating clinical characteristics or biomarker measurements at diagnosis. We consider how to evaluate the potential of...
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...
Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker
Margaret Pepe, Holly Janes, Gary Longton, Wendy Leisenring, Polly Newcomb
A marker that is strongly associated with outcome (or disease) is often assumed to be effective for classifying individuals according to their current or future outcome. However, for this to be true,...
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...