Dr. Obuchowski has been analyzing imaging outcomes (diagnostic test results, screening results, and quantitative biomarker data) for nearly 25 years. She has proposed new designs for multiple-reader Receiver Operating Characteristic (ROC) studies in order to reduce the number of subjects and readers needed. She has developed new methods for analyzing multi-reader ROC studies, for handling multiple observations (e.g. lesions) from the same subject, and for evaluating the ability of readers to both detect and diagnose multiple abnormalities. Dr. Obuchowski has authored over 150 journal papers in the imaging literature, as well as two books on statistical methods for diagnostic test imaging. She serves as co-director of metrology workshops on quantitative imaging biomarkers, as editor of a special series on quantitative imaging for Statistical Methods in Medical Research, and teaches study design methodology to radiologists interested in clinical research. Dr. Obuchowski is a fellow of the American Statistical Association.
In other words ...
When new medical tests are developed, they must be assessed to determine if they are better than the usual medical tests. Dr. Obuchowski designs research studies to evaluate new medical tests and compare them with the standard tests. She determines the number of subjects needed, which subjects will undergo the tests, and what data will be collect on the subjects. At the end of the study, Dr. Obuchowski takes all of the data and analyzes it to determine if the new test is better than the standard test.
Obuchowski NA, Barnhart HX, Buckler AJ, et al. Statistical Issues in the Comparison of Quantitative Imaging Biomarker Algorithms using Pulmonary Nodule Volume as an Example. SMMR 2015; 24.
Obuchowski NA, Reeves AP, Huang EP, et al. Quantitative Imaging Biomarkers: A Review of Statistical Methods for Computer Algorithm Comparisons. SMMR 2015; 24.
Obuchowski NA, Subbhas N, Schoenhagen P. Testing for interchangeability of imaging tests. Acad Radiol 2014; 21.
Zhou XH, Obuchowski NA, McClish DL. Statistical Methods in Diagnostic Medicine. 2nd edition 2011. Wiley and Sons, Inc., New York.
Obuchowski NA. Estimating sample size for a randomized clinical trial of lung cancer screening. Contemporary Clinical Trials 2008; 29.
Obuchowski NA. Can electronic medical images replace hard-copy film? Defining and testing the equivalence of diagnostic tests. Statistics in Medicine 2001; 20.
Obuchowski NA, Graham RJ, Baker ME, Powell KA. Ten criteria for effective screening: their application to multi-slice CT screening for pulmonary and colorectal cancers. AJR 2001; 176.
Obuchowski NA. On the Comparison of Correlated Proportions for Clustered Data. Statistics in Medicine 1998; 17.
Obuchowski NA. Nonparametric Analysis of Clustered ROC Curve Data. Biometrics 1997; 53.