Regression calibration when foods (measured with error) are the variables of interest: markedly non-Gaussian data with many zeroes.
Fraser, Gary E
Regression calibration when foods (measured with error) are the variables of interest: markedly non-Gaussian data with many zeroes. [electronic resource] - American journal of epidemiology Feb 2012 - 325-31 p. digital
Publication Type: Journal Article; Research Support, N.I.H., Extramural
1476-6256
10.1093/aje/kwr316 doi
Algorithms
Bias
Calibration
Data Interpretation, Statistical
Diet Surveys--statistics & numerical data
Food--statistics & numerical data
Humans
Linear Models
Models, Statistical
Normal Distribution
Regression Analysis
Statistical Distributions
Regression calibration when foods (measured with error) are the variables of interest: markedly non-Gaussian data with many zeroes. [electronic resource] - American journal of epidemiology Feb 2012 - 325-31 p. digital
Publication Type: Journal Article; Research Support, N.I.H., Extramural
1476-6256
10.1093/aje/kwr316 doi
Algorithms
Bias
Calibration
Data Interpretation, Statistical
Diet Surveys--statistics & numerical data
Food--statistics & numerical data
Humans
Linear Models
Models, Statistical
Normal Distribution
Regression Analysis
Statistical Distributions