Janes, Holly, Pepe, Margaret S.
Recent scientific and technological innovations have produced an abundance of potential markers that are being investigated for their use in disease screening and diagnosis. In evaluating these...
Huang, Ying, Pepe, Margaret S.
To assess the value of a continuous marker in predicting the risk of a disease, a graphical tool called the predictiveness curve has been proposed. It characterizes the marker's predictiveness, or...
Huang, Ying, Pepe, Margaret S.
To assess the value of a continuous marker in predicting the risk of a disease, a graphical tool called the predictiveness curve has been proposed. It characterizes the marker's predictiveness, or...
Huang, Ying, Pepe, Margaret S.
To assess the value of a continuous marker in predicting the risk of a disease, a graphical tool called the predictiveness curve has been proposed. It characterizes the marker's predictiveness, or...
Huang, Ying, Pepe, Margaret S.
To assess the value of a continuous marker in predicting the risk of a disease, a graphical tool called the predictiveness curve has been proposed. It characterizes the marker's predictiveness, or...
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...
Pepe, Margaret S., Feng, Ziding, Janes, Holly, Bossuyt, Patrick M., Potter, John D.
Research methods for biomarker evaluation lag behind those for evaluating therapeutic treatments. Although a phased approach to development of biomarkers exists and guidelines are available for...
Development of a disease screening biomarker involves several phases. In phase 2 its sensitivity and specificity is compared with established thresholds for minimally acceptable performance. Since we...
Development of a disease screening biomarker involves several phases. In phase 2 its sensitivity and specificity is compared with established thresholds for minimally acceptable performance. Since we...
Development of a disease screening biomarker involves several phases. In phase 2 its sensitivity and specificity is compared with established thresholds for minimally acceptable performance. Since we...
Development of a disease screening biomarker involves several phases. In phase 2 its sensitivity and specificity is compared with established thresholds for minimally acceptable performance. Since we...
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...
Janes, Holly, Pepe, Margaret S.
Recent scientific and technological innovations have produced an abundance of potential markers which are being investigated for their use in disease screen- ing and diagnosis. In evaluating these...
Janes, Holly, Pepe, Margaret S.
Recent scientific and technological innovations have produced an abundance of potential markers which are being investigated for their use in disease screen- ing and diagnosis. In evaluating these...
Janes, Holly, Pepe, Margaret S.
Recent scientific and technological innovations have produced an abundance of potential markers which are being investigated for their use in disease screen- ing and diagnosis. In evaluating these...
Janes, Holly, Pepe, Margaret S.
Recent scientific and technological innovations have produced an abundance of potential markers which are being investigated for their use in disease screen- ing and diagnosis. In evaluating these...
Evaluating the Predictiveness of a Continuous Marker (2006)
Huang, Ying, Pepe, Margaret S., Feng, Ziding
Consider a continuous marker for predicting a binary outcome. For example, serum concentration of prostate specific antigen (PSA) may be used to calculate the risk of finding prostate cancer in a...
Evaluating the Predictiveness of a Continuous Marker (2006)
Huang, Ying, Pepe, Margaret S., Feng, Ziding
Consider a continuous marker for predicting a binary outcome. For example, serum concentration of prostate specific antigen (PSA) may be used to calculate the risk of finding prostate cancer in a...
Evaluating the Predictiveness of a Continuous Marker (2006)
Huang, Ying, Pepe, Margaret S., Feng, Ziding
Consider a continuous marker for predicting a binary outcome. For example, serum concentration of prostate specific antigen (PSA) may be used to calculate the risk of finding prostate cancer in a...
Evaluating the Predictiveness of a Continuous Marker (2006)
Huang, Ying, Pepe, Margaret S., Feng, Ziding
Consider a continuous marker for predicting a binary outcome. For example, serum concentration of prostate specific antigen (PSA) may be used to calculate the risk of finding prostate cancer in a...
Moskowitz, Chaya S, Pepe, Margaret S
In this paper we consider the design and analysis of studies comparing the positive and negative predictive values of two diagnostic tests that are measured on all subjects. Although statistical...
Moskowitz, Chaya S, Pepe, Margaret S
In this paper we consider the design and analysis of studies comparing the positive and negative predictive values of two diagnostic tests that are measured on all subjects. Although statistical...
Moskowitz, Chaya S, Pepe, Margaret S
In this paper we consider the design and analysis of studies comparing the positive and negative predictive values of two diagnostic tests that are measured on all subjects. Although statistical...
Moskowitz, Chaya S, Pepe, Margaret S
In this paper we consider the design and analysis of studies comparing the positive and negative predictive values of two diagnostic tests that are measured on all subjects. Although statistical...
A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis (2005)
Zhang, Zheng, Pepe, Margaret S.
In the field of medical diagnostic testing, the receiver operating characteristics(ROC) curve has long been used as a standard statistical tool to assess the accuracy of tests that yield continuous...
A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis (2005)
Zhang, Zheng, Pepe, Margaret S.
In the field of medical diagnostic testing, the receiver operating characteristics(ROC) curve has long been used as a standard statistical tool to assess the accuracy of tests that yield continuous...
A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis (2005)
Zhang, Zheng, Pepe, Margaret S.
In the field of medical diagnostic testing, the receiver operating characteristics(ROC) curve has long been used as a standard statistical tool to assess the accuracy of tests that yield continuous...
A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis (2005)
Zhang, Zheng, Pepe, Margaret S.
In the field of medical diagnostic testing, the receiver operating characteristics(ROC) curve has long been used as a standard statistical tool to assess the accuracy of tests that yield continuous...
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
Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker (2005)
Pepe, Margaret S., Janes, Holly, Longton, Gary M., Leisenring, Wendy, Newcomb, Polly
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,...
Insights into Latent Class Analysis (2005)
Pepe, Margaret S., Janes, Holly
Latent class analysis is a popular statistical technique for estimating disease prevalence and test sensitivity and specificity. It is used when a gold standard assessment of disease is not available...
Standardizing Markers to Evaluate and Compare their Performances (2005)
Pepe, Margaret S., Longton, Gary M.
Introduction: Markers that purport to distinguish subjects with a condition from those without a condition must be evaluated rigorously for their classification accuracy. A single approach to...
Combining Predictors for Classification using the Area Under the ROC Curve (2005)
Pepe, Margaret S., Cai, Tianxi, Zhang, Zheng, Longton, Gary M.
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It is expected that the results of multiple markers will need to be combined in order to yield...
Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker (2005)
Pepe, Margaret S., Janes, Holly, Longton, Gary M., Leisenring, Wendy, Newcomb, Polly
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,...
Insights into Latent Class Analysis (2005)
Pepe, Margaret S., Janes, Holly
Latent class analysis is a popular statistical technique for estimating disease prevalence and test sensitivity and specificity. It is used when a gold standard assessment of disease is not available...
Standardizing Markers to Evaluate and Compare their Performances (2005)
Pepe, Margaret S., Longton, Gary M.
Introduction: Markers that purport to distinguish subjects with a condition from those without a condition must be evaluated rigorously for their classification accuracy. A single approach to...
Combining Predictors for Classification using the Area Under the ROC Curve (2005)
Pepe, Margaret S., Cai, Tianxi, Zhang, Zheng, Longton, Gary M.
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It is expected that the results of multiple markers will need to be combined in order to yield...
Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker (2005)
Pepe, Margaret S., Janes, Holly, Longton, Gary M., Leisenring, Wendy, Newcomb, Polly
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,...
Insights into Latent Class Analysis (2005)
Pepe, Margaret S., Janes, Holly
Latent class analysis is a popular statistical technique for estimating disease prevalence and test sensitivity and specificity. It is used when a gold standard assessment of disease is not available...
Standardizing Markers to Evaluate and Compare their Performances (2005)
Pepe, Margaret S., Longton, Gary M.
Introduction: Markers that purport to distinguish subjects with a condition from those without a condition must be evaluated rigorously for their classification accuracy. A single approach to...
Combining Predictors for Classification using the Area Under the ROC Curve (2005)
Pepe, Margaret S., Cai, Tianxi, Zhang, Zheng, Longton, Gary M.
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It is expected that the results of multiple markers will need to be combined in order to yield...
Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker (2005)
Pepe, Margaret S., Janes, Holly, Longton, Gary M., Leisenring, Wendy, Newcomb, Polly
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,...
Insights into Latent Class Analysis (2005)
Pepe, Margaret S., Janes, Holly
Latent class analysis is a popular statistical technique for estimating disease prevalence and test sensitivity and specificity. It is used when a gold standard assessment of disease is not available...
Standardizing Markers to Evaluate and Compare their Performances (2005)
Pepe, Margaret S., Longton, Gary M.
Introduction: Markers that purport to distinguish subjects with a condition from those without a condition must be evaluated rigorously for their classification accuracy. A single approach to...
Combining Predictors for Classification using the Area Under the ROC Curve (2005)
Pepe, Margaret S., Cai, Tianxi, Zhang, Zheng, Longton, Gary M.
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It is expected that the results of multiple markers will need to be combined in order to yield...
Combining Predictors for Classification Using the Area Under the ROC Curve (2004)
Pepe, Margaret S., Cai, Tianxi, Zhang, Zheng
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...
Combining Predictors for Classification Using the Area Under the ROC Curve (2004)
Pepe, Margaret S., Cai, Tianxi, Zhang, Zheng
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...
Combining Predictors for Classification Using the Area Under the ROC Curve (2004)
Pepe, Margaret S., Cai, Tianxi, Zhang, Zheng
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...
Combining Predictors for Classification Using the Area Under the ROC Curve (2004)
Pepe, Margaret S., Cai, Tianxi, Zhang, Zheng
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...
Moskowitz, Chaya S., Pepe, Margaret S.
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...
Moskowitz, Chaya S., Pepe, Margaret S.
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...
Moskowitz, Chaya S., Pepe, Margaret S.
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...
Moskowitz, Chaya S., Pepe, Margaret S.
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 (2004)
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...
Evaluating Markers for Selecting a Patient's Treatment (2004)
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...
Evaluating Markers for Selecting a Patient's Treatment (2004)
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...
Evaluating Markers for Selecting a Patient's Treatment (2004)
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 (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...
Moskowitz, Chaya S., Pepe, Margaret S.
The positive and negative predictive values are standard ways of quantifying predictive accuracy when both the outcome and the prognostic factor are binary. Methods for comparing the predictive...
Identifying Target Populations for Screening or Not Screening Using Logic Regression (2003)
Janes, Holly, Pepe, Margaret S., Kooperberg, Charles, Newcomb, Polly
Colorectal cancer remains a significant public health concern despite the fact that effective screening procedures exist and that the disease is treatable when detected at early stages. Numerous risk...
Identifying Target Populations for Screening or Not Screening Using Logic Regression (2003)
Janes, Holly, Pepe, Margaret S., Kooperberg, Charles, Newcomb, Polly
Colorectal cancer remains a significant public health concern despite the fact that effective screening procedures exist and that the disease is treatable when detected at early stages. Numerous risk...
Identifying Target Populations for Screening or Not Screening Using Logic Regression (2003)
Janes, Holly, Pepe, Margaret S., Kooperberg, Charles, Newcomb, Polly
Colorectal cancer remains a significant public health concern despite the fact that effective screening procedures exist and that the disease is treatable when detected at early stages. Numerous risk...
Identifying Target Populations for Screening or Not Screening Using Logic Regression (2003)
Janes, Holly, Pepe, Margaret S., Kooperberg, Charles, Newcomb, Polly
Colorectal cancer remains a significant public health concern despite the fact that effective screening procedures exist and that the disease is treatable when detected at early stages. Numerous risk...
Selecting Differentially Expressed Genes from Microarray Experiments (2003)
Pepe, Margaret S., Longton, Gary M., Anderson, Garnet L., Schummer, Michel
High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that distinguish different tissue...
Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease (2003)
Cai, Tianxi, Pepe, Margaret S.
The receiver operating characteristic (ROC) curve is a popular method for characterizing the accuracy of diagnostic tests when test results are not binary. Various methodologies for estimating and...
Semi-parametric Regression for the Area Under the Receiver Operating Characteristic Curve (2003)
Dodd, Lori E., Pepe, Margaret S.
Medical advances continue to provide new and potentially better means for detecting disease. Such is true in cancer, for example, where biomarkers are sought for early detection and where...
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...
Selecting Differentially Expressed Genes from Microarray Experiments (2003)
Pepe, Margaret S., Longton, Gary M., Anderson, Garnet L., Schummer, Michel
High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that distinguish different tissue...
Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease (2003)
Cai, Tianxi, Pepe, Margaret S.
The receiver operating characteristic (ROC) curve is a popular method for characterizing the accuracy of diagnostic tests when test results are not binary. Various methodologies for estimating and...
Semi-parametric Regression for the Area Under the Receiver Operating Characteristic Curve (2003)
Dodd, Lori E., Pepe, Margaret S.
Medical advances continue to provide new and potentially better means for detecting disease. Such is true in cancer, for example, where biomarkers are sought for early detection and where...
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...
Selecting Differentially Expressed Genes from Microarray Experiments (2003)
Pepe, Margaret S., Longton, Gary M., Anderson, Garnet L., Schummer, Michel
High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that distinguish different tissue...
Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease (2003)
Cai, Tianxi, Pepe, Margaret S.
The receiver operating characteristic (ROC) curve is a popular method for characterizing the accuracy of diagnostic tests when test results are not binary. Various methodologies for estimating and...
Semi-parametric Regression for the Area Under the Receiver Operating Characteristic Curve (2003)
Dodd, Lori E., Pepe, Margaret S.
Medical advances continue to provide new and potentially better means for detecting disease. Such is true in cancer, for example, where biomarkers are sought for early detection and where...
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...
Selecting Differentially Expressed Genes from Microarray Experiments (2003)
Pepe, Margaret S., Longton, Gary M., Anderson, Garnet L., Schummer, Michel
High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that distinguish different tissue...
Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease (2003)
Cai, Tianxi, Pepe, Margaret S.
The receiver operating characteristic (ROC) curve is a popular method for characterizing the accuracy of diagnostic tests when test results are not binary. Various methodologies for estimating and...
Semi-parametric Regression for the Area Under the Receiver Operating Characteristic Curve (2003)
Dodd, Lori E., Pepe, Margaret S.
Medical advances continue to provide new and potentially better means for detecting disease. Such is true in cancer, for example, where biomarkers are sought for early detection and where...
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...
Estimating Disease Prevalence in Two-Phase Studies (2003)
Alonzo, Todd A., Pepe, Margaret S.
Disease prevalence is ideally estimated using a "gold standard" to ascertain true disease status on all subjects in a population of interest. In practice, however, the gold standard may be too costly...
Estimating Disease Prevalence in Two-Phase Studies (2003)
Alonzo, Todd A., Pepe, Margaret S.
Disease prevalence is ideally estimated using a "gold standard" to ascertain true disease status on all subjects in a population of interest. In practice, however, the gold standard may be too costly...
Estimating Disease Prevalence in Two-Phase Studies (2003)
Alonzo, Todd A., Pepe, Margaret S.
Disease prevalence is ideally estimated using a "gold standard" to ascertain true disease status on all subjects in a population of interest. In practice, however, the gold standard may be too costly...
Estimating Disease Prevalence in Two-Phase Studies (2003)
Alonzo, Todd A., Pepe, Margaret S.
Disease prevalence is ideally estimated using a "gold standard" to ascertain true disease status on all subjects in a population of interest. In practice, however, the gold standard may be too costly...
Partial AUC Estimation and Regression (2003)
Dodd, Lori E., Pepe, Margaret S.
Accurate disease diagnosis is critical for health care. New diagnostic and screening tests must be evaluated for their abilities to discriminate disease from non-diseased states. The partial area...
Partial AUC Estimation and Regression (2003)
Dodd, Lori E., Pepe, Margaret S.
Accurate disease diagnosis is critical for health care. New diagnostic and screening tests must be evaluated for their abilities to discriminate disease from non-diseased states. The partial area...
Partial AUC Estimation and Regression (2003)
Dodd, Lori E., Pepe, Margaret S.
Accurate disease diagnosis is critical for health care. New diagnostic and screening tests must be evaluated for their abilities to discriminate disease from non-diseased states. The partial area...
Partial AUC Estimation and Regression (2003)
Dodd, Lori E., Pepe, Margaret S.
Accurate disease diagnosis is critical for health care. New diagnostic and screening tests must be evaluated for their abilities to discriminate disease from non-diseased states. The partial area...
The Analysis of Placement Values for Evaluating Discriminatory Measures (2002)
Pepe, Margaret S., Cai, Tianxi
The idea of using measurements such as biomarkers, clinical data, or molecular biology assays for classification and prediction is popular in modern medicine. The scientific evaluation of such...
The Analysis of Placement Values for Evaluating Discriminatory Measures (2002)
Pepe, Margaret S., Cai, Tianxi
The idea of using measurements such as biomarkers, clinical data, or molecular biology assays for classification and prediction is popular in modern medicine. The scientific evaluation of such...
The Analysis of Placement Values for Evaluating Discriminatory Measures (2002)
Pepe, Margaret S., Cai, Tianxi
The idea of using measurements such as biomarkers, clinical data, or molecular biology assays for classification and prediction is popular in modern medicine. The scientific evaluation of such...
The Analysis of Placement Values for Evaluating Discriminatory Measures (2002)
Pepe, Margaret S., Cai, Tianxi
The idea of using measurements such as biomarkers, clinical data, or molecular biology assays for classification and prediction is popular in modern medicine. The scientific evaluation of such...
Yasui, Yutaka, Pepe, Margaret S., Thompson, Mary Lou, Adam, Bao-Ling, Wright, George L., Qu, Yinsheng, ...
With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over a wide range of molecular weights in small biological specimens. This advance has generated...
Yasui, Yutaka, Pepe, Margaret S., Thompson, Mary Lou, Adam, Bao-Ling, Wright, George L., Qu, Yinsheng, ...
With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over a wide range of molecular weights in small biological specimens. This advance has generated...
Yasui, Yutaka, Pepe, Margaret S., Thompson, Mary Lou, Adam, Bao-Ling, Wright, George L., Qu, Yinsheng, ...
With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over a wide range of molecular weights in small biological specimens. This advance has generated...
Yasui, Yutaka, Pepe, Margaret S., Thompson, Mary Lou, Adam, Bao-Ling, Wright, George L., Qu, Yinsheng, ...
With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over a wide range of molecular weights in small biological specimens. This advance has generated...
Assessing the Accuracy of a New Diagnostic Test When a Gold Standard Does Not Exist (1998)
Alonzo, Todd A., Pepe, Margaret S.
Often the accuracy of a new diagnostic test must be assessed when a perfect gold standard does not exist. Use of an imperfect test biases the accuracy estimates of the new test. This paper reviews...
Assessing the Accuracy of a New Diagnostic Test When a Gold Standard Does Not Exist (1998)
Alonzo, Todd A., Pepe, Margaret S.
Often the accuracy of a new diagnostic test must be assessed when a perfect gold standard does not exist. Use of an imperfect test biases the accuracy estimates of the new test. This paper reviews...
Assessing the Accuracy of a New Diagnostic Test When a Gold Standard Does Not Exist (1998)
Alonzo, Todd A., Pepe, Margaret S.
Often the accuracy of a new diagnostic test must be assessed when a perfect gold standard does not exist. Use of an imperfect test biases the accuracy estimates of the new test. This paper reviews...
Assessing the Accuracy of a New Diagnostic Test When a Gold Standard Does Not Exist (1998)
Alonzo, Todd A., Pepe, Margaret S.
Often the accuracy of a new diagnostic test must be assessed when a perfect gold standard does not exist. Use of an imperfect test biases the accuracy estimates of the new test. This paper reviews...
Time-Dependent Predictive Values of Prognostic Biomarkers With Failure Time Outcome
Zheng, Yingye, Cai, Tianxi, Pepe, Margaret S., Levy, Wayne C.
Pepe, Margaret S., Feng, Ziding, Janes, Holly, Bossuyt, Patrick M., Potter, John D.
Research methods for biomarker evaluation lag behind those for evaluating therapeutic treatments. Although a phased approach to development of biomarkers exists and guidelines are available for...
Accommodating covariates in receiver operating characteristic analysis
Holly Janes, Gary Longton, Margaret S. Pepe
Classification accuracy is the ability of a marker or diagnostic test to discriminate between two groups of individuals, cases and controls, and is com- monly summarized by using the receiver...
Estimation and comparison of receiver operating characteristic curves
Margaret S. Pepe, Gary Longton, Holly Janes
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...
Recent scientific and technological innovations have produced an abundance of potential markers that are being investigated for their use in disease screening and diagnosis. In evaluating these...