RECENT PUBLICATIONS
Shmueli A, Messika D, Murad H, Freedman L. Does greater exposure to own-health data make a difference on the visual analog scale? Eur J Health Econ 2008; 9:63-67.
Freedman LS. An analysis of the controversy over classical one-sided tests. Clin trials 2008; 5:635-40.
Kipnis V, Freedman LS. Impact of exposure measurement error in nutritional epidemiology. J Natl Cancer Inst 2008; 100:1658-9.
Freedman LS, Kipnis V, Schatzkin A, Potischman N. Methods of Epidemiology: Evaluating the Fat - Breast Cancer Hypothesis: Comparing Dietary Instruments and Other Developments. Cancer J 2008; 2:69-74.
Midthune D, Kipnis V, Freedman LS, Carroll RJ. Binary regression in truncated samples, with application to comparing dietary instruments in a large prospective study. Biometrics 2008; 64:289-98.
Pappo I, Lerner-Geva L, Halevy A, Olmer L, Friedler S, Raziel A, Schachter M, Ron-El R. The possible association between IVF and breast cancer incidence. Ann Surg Oncol. 2008; 15:1048-55.
Sadetzki S, Chetrit A, Jarus-Hakak A, Cardis E, Deutch Y, Duvdevani S, Zultan A, Novikov I, Freedman L, Wolf M. Cellular phone use and risk of benign and malignant parotid gland tumors--a nationwide case-control study. Am J Epidemiol 2008; 167:457-467.
Shmueli A, Messika D, Murad H, Freedman L. Does greater exposure to own-health data make a difference on the visual analog scale? Eur J Health Econ 2008; 9:63-67.
Thiébaut ACM, Kipnis V, Schatzkin A, Freedman LS. The role of dietary measurement error in investigating the hypothesized link between dietary fat intake and breast cancer-a story with twists and turns. Cancer Invest 2008; 26:68-73.
Thompson FE, Kipnis V, Midthune D, Freedman LS, Carroll RJ, Subar AF, Brown CC, Butcher MS, Mouw T, Leitzmann M, Schatzkin A. Performance of a Food Frequency Questionnaire in the US NIH-AARP (National Institutes of Health American Association of Retired Persons) Diet and Health Study. Public Health Nutr 2008; 11:183-195.
Yanetz R, Kipnis V, Carroll RJ, Dodd KW, Subar AF, Schatzkin A, Freedman LS. Using biomarker data to adjust estimates of the distribution of usual intakes for misreporting: application to energy intake in the US population. J Am Diet Assoc 2008; 108:455-64.
Kipnis V, Midthune D, Buckman DW, Dodd KW, Guenther PM, Krebs-Smith SM, Subar AF, Tooze JA, Carroll RJ, Freedman LS. Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes. Biometrics 2009, in press.
Lukasiewicz E, Gorfine M, Freedman LS, Pawlotsky JM, Schalm SW, Ferrari C, Zeuzem S, Neumann AU for the DITTO-HCV Study Group. Prediction of Non-SVR to therapy with Pegylated Interferon-α2a and Ribavirin in chronic Hepatitis C genotype 1 patients after 4, 8 and 12 weeks of treatment. J Viral Hepat 2009, in press.
Yagupsky P, Weiss-Salz I, Fluss R, Freedman LS, Peled N, Trefler R, Porat N, Dagan R. Dissemination of the emerging pathogen Kingella kingae in the community and long-term persistence of invasive clones. Pediatr Infect Dis J 2009, in press.
Lukasiewicz E, Gorfine M, Neumann AU, Freedman LS. Combining longitudinal discriminant analysis and partial area under the ROC curve to predict non-response to treatment for Hepatitis C virus. Stat Methods Med Res 2010, in press.
Freedman LS, Oberman B, Sadetzki S. Using time-dependent covariate analysis to elucidate the relationship of smoking history to Warthin’s tumor risk. Am J Epidemiol 2010, in press.
Full list of publications
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