Categorical Data Analysis
Partial AUC Estimation and Regression (with Lori E. Dodd), UW Biostatistics Working Paper Series (2003)
Accurate disease diagnosis is critical for health care. New diagnostic and screening tests must be...
Microarrays
Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array (with Yingye Zheng), UW Biostatistics Working Paper Series (2004)
In a gene expression array study, the expression levels of thousands of genes are monitored...
Selecting Differentially Expressed Genes from Microarray Experiments (with Gary M. Longton, Garnet L. Anderson, and Michel Schummer), UW Biostatistics Working Paper Series (2003)
High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to...
Epidemiology
Combining Predictors for Classification using the Area Under the ROC Curve (with Tianxi Cai, Zheng Zhang, and Gary M. Longton), UW Biostatistics Working Paper Series (2005)
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It...
Insights into Latent Class Analysis (with Holly Janes), UW Biostatistics Working Paper Series (2005)
Latent class analysis is a popular statistical technique for estimating disease prevalence and test sensitivity...
Standardizing Markers to Evaluate and Compare their Performances (with Gary M. Longton), UW Biostatistics Working Paper Series (2005)
Introduction: Markers that purport to distinguish subjects with a condition from those without a condition...
Combining Predictors for Classification Using the Area Under the ROC Curve (with Tianxi Cai and Zheng Zhang), UW Biostatistics Working Paper Series (2004)
We compare simple logistic regression with an alternative robust procedure for constructing linear predictors to...
Identifying Target Populations for Screening or Not Screening Using Logic Regression (with Holly Janes, Charles Kooperberg, and Polly Newcomb), UW Biostatistics Working Paper Series (2003)
Colorectal cancer remains a significant public health concern despite the fact that effective screening procedures...
Medical Specialties
Evaluating Markers for Selecting a Patient's Treatment (with Xiao Song), UW Biostatistics Working Paper Series (2004)
Selecting the best treatment for a patient's disease may be facilitated by evaluating clinical characteristics...
Identifying Target Populations for Screening or Not Screening Using Logic Regression (with Holly Janes, Charles Kooperberg, and Polly Newcomb), UW Biostatistics Working Paper Series (2003)
Colorectal cancer remains a significant public health concern despite the fact that effective screening procedures...
Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease (with Tianxi Cai), UW Biostatistics Working Paper Series (2003)
The receiver operating characteristic (ROC) curve is a popular method for characterizing the accuracy of...
Clinical Epidemiology
Rejoinder to Nancy Cook's Comment on "Measures to Summarize and Compare the Predictive Capacity of Markers", The International Journal of Biostatistics (2011)
This is a response to Nancy Cook's Readers' Reaction to "Measures to Summarize and Compare...
Measures to Summarize and Compare the Predictive Capacity of Markers (with Wen Gu), The International Journal of Biostatistics (2011)
The predictive capacity of a marker in a population can be described using the population...
Adjusting for Covariates in Studies of Diagnostic, Screening, or Prognostic Markers: An Old Concept in a New Setting (with Holly Janes), UW Biostatistics Working Paper Series (2007)
The concept of covariate adjustment is well established in therapeutic and etiologic studies. However, it...
Combining Predictors for Classification using the Area Under the ROC Curve (with Tianxi Cai, Zheng Zhang, and Gary M. Longton), UW Biostatistics Working Paper Series (2005)
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It...
Insights into Latent Class Analysis (with Holly Janes), UW Biostatistics Working Paper Series (2005)
Latent class analysis is a popular statistical technique for estimating disease prevalence and test sensitivity...
Disease Modeling
The Sensitivity and Specificity of Markers for Event Times (with Tianxi Cai, Thomas Lumley, Yingye Zheng, and Nancy Swords Jenny), Harvard University Biostatistics Working Paper Series (2005)
Design of Experiments and Sample Surveys
Estimating Disease Prevalence in Two-Phase Studies (with Todd A. Alonzo), UW Biostatistics Working Paper Series (2003)
Disease prevalence is ideally estimated using a “gold standard” to ascertain true disease status on...
Assessing the Accuracy of a New Diagnostic Test When a Gold Standard Does Not Exist (with Todd A. Alonzo), UW Biostatistics Working Paper Series (1998)
Often the accuracy of a new diagnostic test must be assessed when a perfect gold...
Multivariate Analysis
Combining Predictors for Classification using the Area Under the ROC Curve (with Tianxi Cai, Zheng Zhang, and Gary M. Longton), UW Biostatistics Working Paper Series (2005)
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It...
Insights into Latent Class Analysis (with Holly Janes), UW Biostatistics Working Paper Series (2005)
Latent class analysis is a popular statistical technique for estimating disease prevalence and test sensitivity...
Standardizing Markers to Evaluate and Compare their Performances (with Gary M. Longton), UW Biostatistics Working Paper Series (2005)
Introduction: Markers that purport to distinguish subjects with a condition from those without a condition...
Combining Predictors for Classification Using the Area Under the ROC Curve (with Tianxi Cai and Zheng Zhang), UW Biostatistics Working Paper Series (2004)
We compare simple logistic regression with an alternative robust procedure for constructing linear predictors to...
Evaluating Markers for Selecting a Patient's Treatment (with Xiao Song), UW Biostatistics Working Paper Series (2004)
Selecting the best treatment for a patient's disease may be facilitated by evaluating clinical characteristics...
Human Genetics
Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array (with Yingye Zheng), UW Biostatistics Working Paper Series (2004)
In a gene expression array study, the expression levels of thousands of genes are monitored...
Selecting Differentially Expressed Genes from Microarray Experiments (with Gary M. Longton, Garnet L. Anderson, and Michel Schummer), UW Biostatistics Working Paper Series (2003)
High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to...
General Biostatistics
Methods for Evaluating Prediction Performance of Biomarkers and Tests (with Holly Janes PhD) (2013)
This chapter describes and critiques methods for evaluating the performance of markers to predict risk...
Testing for improvement in prediction model performance (with Kathleen F. Kerr PhD, Gary Longton, and Zheyu Wang PhD), Statistics in Medicine (2011)
New methodology has been proposed in recent years for evaluating the improvement in prediction performance...
When Does Combining Markers Improve Classification Performance and What Are Implications for Practice? (with Aasthaa Bansal), UW Biostatistics Working Paper Series (2011)
When an existing standard marker does not have sufficient classification accuracy on its own, new...
Semiparametric and nonparametric methods for evaluating risk prediction markers in case-control studies (with Ying Huang), UW Biostatistics Working Paper Series (2008)
The performance of a well calibrated risk model, Risk(Y)=P(D=1|Y), can be characterized by the population...
Semiparametric methods for evaluating the covariate-specific predictiveness of continuous markers in matched case-control studies (with Ying Huang), UW Biostatistics Working Paper Series (2008)
To assess the value of a continuous marker in predicting the risk of a disease,...
Statistical Models
Measures to Summarize and Compare the Predictive Capacity of Markers (with Wen Gu), The International Journal of Biostatistics (2011)
The predictive capacity of a marker in a population can be described using the population...
Testing for improvement in prediction model performance (with Kathleen F. Kerr PhD, Gary Longton, and Zheyu Wang PhD), Statistics in Medicine (2011)
New methodology has been proposed in recent years for evaluating the improvement in prediction performance...
The Sensitivity and Specificity of Markers for Event Times (with Tianxi Cai, Thomas Lumley, Yingye Zheng, and Nancy Swords Jenny), Harvard University Biostatistics Working Paper Series (2005)
Combining Predictors for Classification using the Area Under the ROC Curve (with Tianxi Cai, Zheng Zhang, and Gary M. Longton), UW Biostatistics Working Paper Series (2005)
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It...
Combining Predictors for Classification Using the Area Under the ROC Curve (with Tianxi Cai and Zheng Zhang), UW Biostatistics Working Paper Series (2004)
We compare simple logistic regression with an alternative robust procedure for constructing linear predictors to...
Clinical Trials
Estimating Disease Prevalence in Two-Phase Studies (with Todd A. Alonzo), UW Biostatistics Working Paper Series (2003)
Disease prevalence is ideally estimated using a “gold standard” to ascertain true disease status on...
Statistical Theory and Methods
Methods for Evaluating Prediction Performance of Biomarkers and Tests (with Holly Janes PhD) (2013)
This chapter describes and critiques methods for evaluating the performance of markers to predict risk...
Estimating Sensitivity and Specificity from a Phase 2 Biomarker Study that Allows for Early Termination, UW Biostatistics Working Paper Series (2007)
Development of a disease screening biomarker involves several phases. In phase 2 its sensitivity and...
Evaluating the ROC Performance of Markers for Future Events (with Yingye Zheng and Yuying Jin), UW Biostatistics Working Paper Series (2007)
Receiver operating characteristic (ROC) curves play a central role in the evaluation of biomarkers and...
Evaluating Markers for Selecting a Patient's Treatment (with Xiao Song), UW Biostatistics Working Paper Series (2004)
Selecting the best treatment for a patient's disease may be facilitated by evaluating clinical characteristics...
Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array (with Yingye Zheng), UW Biostatistics Working Paper Series (2004)
In a gene expression array study, the expression levels of thousands of genes are monitored...
No subject area
Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker (with Holly Janes, Gary M. Longton, Wendy Leisenring, and Polly Newcomb), UW Biostatistics Working Paper Series (2005)
A marker that is strongly associated with outcome (or disease) is often assumed to be...
Quantifying and Comparing the Accuracy of Binary Biomarkers When Predicting a Failure Time Outcome (with Chaya S. Moskowitz), UW Biostatistics Working Paper Series (2004)
The positive and negative predictive value are standard measures used to quantify the predictive accuracy...
A Data-Analytic Strategy for Protein-Biomarker Discovery: Profiling of High-Dimensional Proteomic Data for Cancer Detection (with Yutaka Yasui, Mary Lou Thompson, Bao-Ling Adam, George L. Wright Jr., Yinsheng Qu, John D. Potter, Marcy Winget, Mark Thornquist, and Ziding Feng), UW Biostatistics Working Paper Series (2002)
With recent advances in mass spectrometry techniques, it is now possible to investigate proteins over...