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Biometrics|July 27, 2007
Binary regression in truncated samples, with application to comparing dietary instruments in a large prospective studyDouglas Midthune, Victor Kipnis, Laurence S Freedman, et al.
Biostatistics (Oxford, England)|November 5, 2015
Measurement error models with interactionsDouglas Midthune, Raymond J Carroll, Laurence S Freedman, et al.
Biometrics|September 3, 2015
A bivariate measurement error model for semicontinuous and continuous variables: Application to nutritional epidemiologyVictor Kipnis, Laurence S Freedman, Raymond J Carroll, et al.
Biometrics|March 18, 2006
Seemingly unrelated measurement error models, with application to nutritional epidemiologyRaymond J Carroll, Douglas Midthune, Laurence S Freedman, et al.
Biometrics|April 24, 2007
Linear measurement error models with restricted samplingMalka Gorfine, Nurit Lipshtat, Laurence S Freedman, et al.
Statistics in Medicine|June 30, 2012
Regression calibration with more surrogates than mismeasured variablesVictor Kipnis, Douglas Midthune, Laurence S Freedman, et al.
Epidemiologic Perspectives & Innovations : EP+I|February 26, 2010
Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies?Laurence S Freedman, Victor Kipnis, Arthur Schatzkin, et al.
Cancer Investigation|January 9, 2008
The role of dietary measurement error in investigating the hypothesized link between dietary fat intake and breast cancer--a story with twists and turnsAnne C M Thiébaut, Victor Kipnis, Arthur Schatzkin, et al.
JAMA Network Open|January 4, 2024
Glucagon-Like Peptide-1 Receptor Agonists and Pancreatic Cancer Risk in Patients With Type 2 DiabetesRachel Dankner, Havi Murad, Nirit Agay, et al.
Statistical Methods in Medical Research|November 5, 2019
Imputing missing time-dependent covariate values for the discrete time Cox modelHavi Murad, Rachel Dankner, Alla Berlin, et al.
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