Holly Janes

Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve (2009)

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...

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...

Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design (2008)

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...

Adjusting for Covariates in Studies of Diagnostic, Screening, or Prognostic Markers: An Old Concept in a New Setting (2008)

Janes, Holly, Pepe, Margaret S.

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...

Adjusting for Covariates in Studies of Diagnostic, Screening, or Prognostic Markers: An Old Concept in a New Setting (2007)

Janes, Holly, Pepe, Margaret

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...

Adjusting for Covariates in Studies of Diagnostic, Screening, or Prognostic Markers: An Old Concept in a New Setting (2007)

Janes, Holly, Pepe, Margaret

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...

Adjusting for Covariates in Studies of Diagnostic, Screening, or Prognostic Markers: An Old Concept in a New Setting (2007)

Janes, Holly, Pepe, Margaret

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...

Adjusting for Covariates in Studies of Diagnostic, Screening, or Prognostic Markers: An Old Concept in a New Setting (2007)

Janes, Holly, Pepe, Margaret

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...

TRENDS IN PARTICULATE MATTER AND MORTALITY: AN APPROACH TO THE ASSESSMENT OF UNMEASURED CONFOUNDING (2007)

Janes, Holly, Dominici, Francesca, Zeger, Scott

We propose a method for diagnosing confounding bias under a model which links a spatially and temporally varying exposure and health outcome. We decompose the association into orthogonal components,...

TRENDS IN PARTICULATE MATTER AND MORTALITY: AN APPROACH TO THE ASSESSMENT OF UNMEASURED CONFOUNDING (2007)

Janes, Holly, Dominici, Francesca, Zeger, Scott

We propose a method for diagnosing confounding bias under a model which links a spatially and temporally varying exposure and health outcome. We decompose the association into orthogonal components,...

TRENDS IN PARTICULATE MATTER AND MORTALITY: AN APPROACH TO THE ASSESSMENT OF UNMEASURED CONFOUNDING (2007)

Janes, Holly, Dominici, Francesca, Zeger, Scott

We propose a method for diagnosing confounding bias under a model which links a spatially and temporally varying exposure and health outcome. We decompose the association into orthogonal components,...

TRENDS IN PARTICULATE MATTER AND MORTALITY: AN APPROACH TO THE ASSESSMENT OF UNMEASURED CONFOUNDING (2007)

Janes, Holly, Dominici, Francesca, Zeger, Scott

We propose a method for diagnosing confounding bias under a model which links a spatially and temporally varying exposure and health outcome. We decompose the association into orthogonal components,...

Insights into latent class analysis of diagnostic test performance (2007)

Pepe, Margaret Sullivan, Janes, Holly

Latent class analysis is used to assess diagnostic test accuracy when a gold standard assessment of disease is not available but results of multiple imperfect tests are. We consider the simplest...

Statistical Analysis of Air Pollution Panel Studies: An Illustration (2006)

Janes, Holly, Sheppard, Lianne, Shepherd, Kristen

The panel study design is commonly used to evaluate the short-term health effects of air pollution. Standard statistical methods for analyzing longitudinal data are available, but the literature...

Statistical Analysis of Air Pollution Panel Studies: An Illustration (2006)

Janes, Holly, Sheppard, Lianne, Shepherd, Kristen

The panel study design is commonly used to evaluate the short-term health effects of air pollution. Standard statistical methods for analyzing longitudinal data are available, but the literature...

Statistical Analysis of Air Pollution Panel Studies: An Illustration (2006)

Janes, Holly, Sheppard, Lianne, Shepherd, Kristen

The panel study design is commonly used to evaluate the short-term health effects of air pollution. Standard statistical methods for analyzing longitudinal data are available, but the literature...

Statistical Analysis of Air Pollution Panel Studies: An Illustration (2006)

Janes, Holly, Sheppard, Lianne, Shepherd, Kristen

The panel study design is commonly used to evaluate the short-term health effects of air pollution. Standard statistical methods for analyzing longitudinal data are available, but the literature...

A Comparative Analysis of the Chronic Effects of Fine Particulate Matter (2006)

Eftim, Sorina E, Janes, Holly, McDermott, Aidan, Samet, Jonathan M, Dominici, Francesca

The American Cancer Society study (ACS) and the Harvard Six Cities study (SCS) are the two landmark cohort studies for estimating the chronic effects of fine particulate matter PM2.5 on mortality. To...

A Comparative Analysis of the Chronic Effects of Fine Particulate Matter (2006)

Eftim, Sorina E, Janes, Holly, McDermott, Aidan, Samet, Jonathan M, Dominici, Francesca

The American Cancer Society study (ACS) and the Harvard Six Cities study (SCS) are the two landmark cohort studies for estimating the chronic effects of fine particulate matter PM2.5 on mortality. To...

A Comparative Analysis of the Chronic Effects of Fine Particulate Matter (2006)

Eftim, Sorina E, Janes, Holly, McDermott, Aidan, Samet, Jonathan M, Dominici, Francesca

The American Cancer Society study (ACS) and the Harvard Six Cities study (SCS) are the two landmark cohort studies for estimating the chronic effects of fine particulate matter PM2.5 on mortality. To...

A Comparative Analysis of the Chronic Effects of Fine Particulate Matter (2006)

Eftim, Sorina E, Janes, Holly, McDermott, Aidan, Samet, Jonathan M, Dominici, Francesca

The American Cancer Society study (ACS) and the Harvard Six Cities study (SCS) are the two landmark cohort studies for estimating the chronic effects of fine particulate matter PM2.5 on mortality. To...

Adjusting for Covariate Effects on Classification Accuracy Using the Covariate-Adjusted ROC Curve (2006)

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...

Adjusting for Covariate Effects on Classification Accuracy Using the Covariate-Adjusted ROC Curve (2006)

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...

Adjusting for Covariate Effects on Classification Accuracy Using the Covariate-Adjusted ROC Curve (2006)

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...

Adjusting for Covariate Effects on Classification Accuracy Using the Covariate-Adjusted ROC Curve (2006)

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...

Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker (2006)

Margaret Sullivan Pepe, Holly Janes, Gary Longton, Wendy Leisenring

A marker strongly associated with outcome (or disease) is often assumed to be effective for classifying persons according to their current or future outcome. However, for this assumption to be true,...

The optimal ratio of cases to controls for estimating the classification accuracy of a biomarker (2006)

Janes, Holly, Pepe, Margaret

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...

Insights into Latent Class Analysis of Diagnostic Test Performance (2006)

Pepe, Margaret Sullivan, Janes, Holly

Latent class analysis is used to assess diagnostic test accuracy when a gold standard assessment of disease is not available but results of multiple imperfect tests are. We consider the simplest...

The optimal ratio of cases to controls for estimating the classification accuracy of a biomarker (2006)

Janes, Holly, Pepe, Margaret

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...

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...

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...

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...

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...

Referent Selection Strategies in Case-Crossover Analyses of Air Pollution Exposure Data: Implications for Bias (2004)

Janes, Holly, Sheppard, Lianne, Lumley, Thomas

The case-crossover design has been widely used to study the association between short term air pollution exposure and the risk of an acute adverse health event. The design uses cases only, and, for...

Referent Selection Strategies in Case-Crossover Analyses of Air Pollution Exposure Data: Implications for Bias (2004)

Janes, Holly, Sheppard, Lianne, Lumley, Thomas

The case-crossover design has been widely used to study the association between short term air pollution exposure and the risk of an acute adverse health event. The design uses cases only, and, for...

Referent Selection Strategies in Case-Crossover Analyses of Air Pollution Exposure Data: Implications for Bias (2004)

Janes, Holly, Sheppard, Lianne, Lumley, Thomas

The case-crossover design has been widely used to study the association between short term air pollution exposure and the risk of an acute adverse health event. The design uses cases only, and, for...

Referent Selection Strategies in Case-Crossover Analyses of Air Pollution Exposure Data: Implications for Bias (2004)

Janes, Holly, Sheppard, Lianne, Lumley, Thomas

The case-crossover design has been widely used to study the association between short term air pollution exposure and the risk of an acute adverse health event. The design uses cases only, and, for...

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures (2004)

Janes, Holly, Sheppard, Lianne, Lumley, Thomas

The case-crossover design uses cases only, and compares exposures just prior to the event times to exposures at comparable control, or "referent" times, in order to assess the effect of short-term...

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures (2004)

Janes, Holly, Sheppard, Lianne, Lumley, Thomas

The case-crossover design uses cases only, and compares exposures just prior to the event times to exposures at comparable control, or "referent" times, in order to assess the effect of short-term...

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures (2004)

Janes, Holly, Sheppard, Lianne, Lumley, Thomas

The case-crossover design uses cases only, and compares exposures just prior to the event times to exposures at comparable control, or "referent" times, in order to assess the effect of short-term...

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures (2004)

Janes, Holly, Sheppard, Lianne, Lumley, Thomas

The case-crossover design uses cases only, and compares exposures just prior to the event times to exposures at comparable control, or "referent" times, in order to assess the effect of short-term...

Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic, Prognostic, or Screening Marker (2004)

Pepe, Margaret Sullivan, Janes, Holly, Longton, Gary, Leisenring, Wendy, Newcomb, Polly

A marker strongly associated with outcome (or disease) is often assumed to be effective for classifying persons according to their current or future outcome. However, for this assumption to be true,...

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...

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures

Holly Janes, Lianne Sheppard, Thomas Lumley

The case-crossover design uses cases only, and compares exposures just prior to the event times to exposures at comparable control, or "referent" times, in order to assess the effect of short-term...

Assessing the Health Effects of Air Pollution Using the Case-Crossover Design

Holly Janes, Lianne Sheppard, Thomas Lumley

The case-crossover design has been widely used to study the association between short term air pollution exposure and the risk of an acute adverse health event. The design uses cases only, and...

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,...

Pivotal Evaluation of the Accuracy of a Biomarker Used for Classification or Prediction: Standards for Study Design

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...

Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve

Holly Janes, Margaret S. Pepe

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...