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Catherine M. Crespi

Associate Professor in Residence of Biostatistics


DepartmentsType of Faculty
BiostatisticsFull Time
Contact Information

Room: A2-125 CHS (Cancer Prevention and Control)

Mailing address:
Department of Biostatistics
UCLA School of Public Health
Box 951772
Los Angeles, CA 90095-1772

Areas of Interest: 

I am affiliated with the Jonsson Comprehensive Cancer Center, Cancer Prevention and Control Research, and with the UCLA Clinical and Translational Science Institute.  My research areas include cancer prevention and control, cancer epidemiology, cancer survivorship, obesity, nutrition, physical activity, health disparities, health psychology and quality of life. My statistical methodology interests include design and analysis of cluster-randomized trials and other intervention studies and longitudinal modeling of chronic disease processes. 

PhD University of California Los Angeles
MS University of California Los Angeles
BA Harvard University
Selected Courses: 
Biostat 110A Fall 2006 Basic Biostatistics
Biostat 110A Fall 2007 Basic Biostatistics
Biostat 200A Fall 2008 Applied Regression
Biostat 200A Fall 2009 Applied Regression
Biostat 202 Fall 2008 Theory of Regression Analysis
Biostat 202 Fall 2009 Theory of Regression Analysis
Biostat 200A Fall 2010 Applied Regression
Biostat 200A Fall 2011 Applied Regression
Biostat 200A Spring 2013 Applied Regression
Selected Publications: 

Crespi CM, Cumberland WG, Blower S (2005) A queueing model for chronic recurring conditions under panel observation.  Biometrics 61(1):193-198

Crespi CM, Ganz PA, Petersen L, Castillo A, Caan B (2008) Refinement and psychometric evaluation of the Impact of Cancer scale.  Journal of the National Cancer Institute 100(21):1530-41

Crespi CM, Wong WK, Mishra S (2009) Using second-order generalized estimating equations to model heterogeneous intraclass correlation in cluster randomized trials.  Statistics in Medicine 28(5):814-27

Crespi CM, Maxwell AE, Wu S (2011) Cluster randomized trials of cancer screening interventions: are appropriate statistical methods being used?  Contemporary Clinical Trials 32:477-84.

Crespi CM, Wong WK, Wu S (2011) A new dependence parameter approach to improve the design of cluster randomized trials with binary outcomes.  Clinical Trials 8(6):691-703

Crespi CM, Alfonso V, Whaley S, Wang MC (2012) Validity of child anthropometric measurements in the Special Supplemental Nutrition Program for Women, Infants and Children.  Pediatric Research 71:286-92