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We propose a Bayesian method to correct for measurement error in multiple continuous exposures for individually matched case-control studies.
As a result, the use of a conditional likelihood approach in the presence of measurement error in multiple continuous exposures has not been widely adopted.
The aim of this paper is to develop a Bayesian method to correct for measurement error in multiple continuous exposures in individually matched case-control studies.
In individually matched case-control studies, the use of conditional logistic regression likelihood as a disease model in the presence of measurement error in multiple continuous exposures can be justified by having a random-effect exposure model.
Nevertheless, to our knowledge, very little attention has been given to measurement error in multiple continuous exposures in matched case-control studies, except for McShane et al. [ 5] whose procedure may be challenging numerically, and which is quite dependent on the settings of the problem.
Thus, in this paper, we develop a Bayesian method to correct for measurement error in multiple continuous exposures in individually matched case-control studies that may be generalized to different settings, where information regarding the measurement error variability is available from additional experiments.
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Using multiple continuous monitors can also provide insight into the relationship between exposures to different pollutants with respect to time, frequency of elevated exposures, as well as maximum and minimum concentrations of exposure.
WhitExposuree Settings.
Discrete exposures generally necessitate larger sample sizes than continuous exposures.
We also modeled air pollutant concentrations as continuous exposures.
Utilizing similar definitions of sunlight exposure (i.e. number of hours of sunlight exposure to define intermittent and continuous exposure) we investigated multiple measures of sunlight exposure in BCC and SCC simultaneously and did not observe differences in measures of intermittent and continuous patterns of sunlight exposure between the two types of skin cancer.
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multiple consecutive exposures
multiple continuous infusions
multiple continuous portions
multiple continuous characters
multiple continuous monitors
multiple continuous trials
multiple continuous measurements
multiple continuous axes
multiple continuous stages
multiple continuous biomarkers
multiple continuous variables
multiple continuous responses
multiple continuous covariates
multiple continuous traces
multiple continuous interactions
multiple sexual exposures
multiple normal exposures
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