Add to ORKGThe effect of measurement error in risk factors that change over time in cohort studies: do simple methods overcorrect for ‘regression dilution’
This paper demonstrates that measurement error can conspire with multicollinearity among explanatory...
Using a continuous exposure variable that is measured with random error in a univariable linear regr...
Frequently, covariates used in a logistic regression are measured with error. The authors previously...
BACKGROUND: The attenuation of the relationship between disease and a risk factor subject to error t...
With the increased use of data not originally recorded for research, such as routine care data (or ‘...
In this article we focus on comparing measurement error correction methods for rate-of-change exposu...
With the increased use of data not originally recorded for research, such as routine care data (or '...
Confounding in epidemiology, and the limits of standard methods of control for an imperfectly measur...
Background. Random errors in measurement of a risk factor will introduce downward bias of an estimat...
The basis for all epidemiological research is an accurate and precise measurement of exposure. Impre...
In prospective studies, disease rates during follow-up are typically analyzed with respect to the va...
Control risk regression is a diffuse approach for meta-analysis about the effectiveness of a treatme...
There has been increasing acknowledgment of the importance of measurement error in epidemiology and ...
& Sons, Ltd. Most statistical methods that adjust analyses for measurement error assume that the tar...
and Y. Wax. The impact of dietary measurement error on planning sample size required in a cohort stu...
This paper demonstrates that measurement error can conspire with multicollinearity among explanatory...
Using a continuous exposure variable that is measured with random error in a univariable linear regr...
Frequently, covariates used in a logistic regression are measured with error. The authors previously...
BACKGROUND: The attenuation of the relationship between disease and a risk factor subject to error t...
With the increased use of data not originally recorded for research, such as routine care data (or ‘...
In this article we focus on comparing measurement error correction methods for rate-of-change exposu...
With the increased use of data not originally recorded for research, such as routine care data (or '...
Confounding in epidemiology, and the limits of standard methods of control for an imperfectly measur...
Background. Random errors in measurement of a risk factor will introduce downward bias of an estimat...
The basis for all epidemiological research is an accurate and precise measurement of exposure. Impre...
In prospective studies, disease rates during follow-up are typically analyzed with respect to the va...
Control risk regression is a diffuse approach for meta-analysis about the effectiveness of a treatme...
There has been increasing acknowledgment of the importance of measurement error in epidemiology and ...
& Sons, Ltd. Most statistical methods that adjust analyses for measurement error assume that the tar...
and Y. Wax. The impact of dietary measurement error on planning sample size required in a cohort stu...
This paper demonstrates that measurement error can conspire with multicollinearity among explanatory...
Using a continuous exposure variable that is measured with random error in a univariable linear regr...
Frequently, covariates used in a logistic regression are measured with error. The authors previously...