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
- Moskowitz CS, Pepe MS. Quantifying and comparing the predictive accuracy of continuous prognostic factors for binary outcomes. Biostatistics 2004;5:113-127.
- 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.
- Moskowitz CS, Pepe MS. Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs. Clinical Trials. 2006 June; 3:272-279.
- Moskowitz CS, Seshan VE, Riedel ER, Begg CB. Estimating the empirical Lorenz curve and Gini coefficient in the presence of error with nested data. Statistics in Medicine. 2008 Jul; 27(16): 3191-3208.
- Moskowitz CS, Jia X, Schwartz LH, Gönen M. A simulation study to evaluate the impact of the number of lesions measured on response assessment. Eur J Cancer. 2009 Jan; 45(2): 300-310.
