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Intake_epis_food(): An R Function for Fitting a Bivariate Nonlinear Measurement Error Model to Estimate Usual and Energy Intake for Episodically Consumed Foods
Pérez, Adriana; Zhang, Saijuan; Kipniss, Victor; … - In: Journal of Statistical Software 46 (2012) c03
Persistent link: https://www.econbiz.de/10010547855
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Covariate Measurement Error Adjustment for Matched Case–Control Studies
McShane, Lisa M.; Midthune, Douglas N.; Dorgan, Joanne F.; … - In: Biometrics 57 (2001) 1, pp. 62-73
Persistent link: https://www.econbiz.de/10010946669
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Seemingly Unrelated Measurement Error Models, with Application to Nutritional Epidemiology
Carroll, Raymond J.; Midthune, Douglas; Freedman, … - In: Biometrics 62 (2006) 1, pp. 75-84
Persistent link: https://www.econbiz.de/10010947080
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Binary Regression in Truncated Samples, with Application to Comparing Dietary Instruments in a Large Prospective Study
Midthune, Douglas; Kipnis, Victor; Freedman, Laurence S.; … - In: Biometrics 64 (2008) 1, pp. 289-298
Persistent link: https://www.econbiz.de/10010947434
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Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes
Kipnis, Victor; Midthune, Douglas; Buckman, Dennis W.; … - In: Biometrics 65 (2009) 4, pp. 1003-1010
Persistent link: https://www.econbiz.de/10010947626
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A New Method for Dealing with Measurement Error in Explanatory Variables of Regression Models
Freedman, Laurence S.; Fainberg, Vitaly; Kipnis, Victor; … - In: Biometrics 60 (2004) 1, pp. 172-181
Persistent link: https://www.econbiz.de/10010947654