Current Research Interests:

Dr. Moskowitz's primary research interests involve the development of statistical methodology for evaluating diagnostic tests and biomarkers. Her work focuses on developing meaningful ways of quantifying and comparing the accuracy of medical tests. The methodology that she has developed and continues to work on can be used to assess instruments such as biomarkers, risk prediction models, and radiographic imaging tools in their ability to detect disease and predict future outcomes. She is also interested in studying issues involved with the use of imaging modalities to assess patient response to a therapeutic agent. Dr. Moskowitz is involved in collaborative work in two main areas. First, she collaborates with investigators in the Department of Radiology. She has worked on the design and analysis of a variety of studies assessing different imaging modalities and potential biomarkers. She also works together with colleagues in the Cancer Survivorship program in researching issues pertinent to adult survivors of cancer and has contributed to the design and analysis of studies in this area.

Selected Bibliography:

1. Alonzo TA, Pepe MS, and Moskowitz CS. Sample size calculations for comparative studies of medical tests for detecting presence of disease. Statistics in Medicine 2001;21:835-852.

2. Alonzo TA, Braun TM, and Moskowitz CS. Small sample estimation of relative accuracy for binary tests. Statistics in Medicine 2004;23:21-34.

3. Moskowitz CS, Pepe MS. Quantifying and comparing the predictive accuracy of continuous prognostic factors for binary outcomes. Biostatistics 2004;5:113-127.

4. Moskowitz CS, Pepe MS. Quantifying and comparing the accuracy of binary biomarkers when predicting a failure time outcome. Statistics in Medicine 2004;23:1555-1570.

5. Cai T and Moskowitz CS. Semiparametric estimation of the binormal ROC curve. Biostatistics 2004;5: 573-586.