Audrey Mauguen, PhD

Assistant Attending Biostatistician

Audrey Mauguen, PhD

Office Phone

646-888-8307

Education

ISPED, University of Bordeaux (France)

Current Research Interests:

Dr. Mauguen’s methodological research focuses on survival analysis and the prediction of survival endpoints. She is particularly interested in using information from complex covariates such as recurrent events and biomarker evolution. She also worked on improving the diagnostic and prediction of cancer risk by proposing a strategy to define cancer subtypes. Recently, her interests include analyzing somatic mutations and assessing the clonal relatedness between two tumors from a patient in order to distinguish between metastasis and second primary, a work in close collaboration with Drs. Colin Begg, Venkatraman Seshan and Irina Ostrovnaya. She is collaborating with clinical investigators from the Department of Pediatrics.

Software:

R package frailtypack: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction

R package Clonality: Testing for clonal relatedness versus independence of tumors from the same patient (first author: Irina Ostrovnaya)

 

Publications

Selected peer-reviewed publications:


  1. Mauguen A, Seshan VE, Ostrovnaya I, Begg CB. Estimating the probability of clonal relatedness of pairs of tumors in cancer patients. Biometrics 2017 [In press]. doi: 10.1111/biom.12710

  2. Mauguen A, Zabor EC, Thomas NE, Berwick M, Seshan VE, Begg CB. Defining cancer subtypes with distinctive etiologic profiles: an application to the epidemiology of melanoma. J Am Stat Assoc 2017;112(517):54-63.

  3. Mauguen A, Begg CB. Using the Lorenz Curve to Characterize Risk Predictiveness and Etiologic Heterogeneity. Epidemiology 2016;27(4):531-7.

  4. Mauguen A, Rachet B, Mathoulin-Pélissier S, Macgrogan G, Laurent A, Rondeau V. Dynamic prediction of risk of death using history of cancer recurrences in joint frailty models. Stat Med 2013;32(30):5366–80.

  5. Mauguen A, Le Péchoux C, Saunders MI, et al; MAR-LC Collaborative Group. Hyperfractionated or accelerated radiotherapy in lung cancer: an individual patient data meta-analysis. J Clin Oncol 2012;30(22):2788–97.

For a complete list of publications:

https://www.ncbi.nlm.nih.gov/myncbi/browse/collection/40881102/?sort=da…