simexprofileCI: Profile likelihood confidence interval for SIMEX
In DudbridgeLab/indexevent: Adjustment for index event bias
View source: R/simexprofileCI.R
simexprofileCI R Documentation
Profile likelihood confidence interval for SIMEX
Description
Obtains a maximum likelihood estimate of the slope in a simple linear regression model
with measurement error in the predictor, using the SIMEX method.
Usage
simexprofileCI(simex.estimates, variance.ratio)
Arguments
simex.estimates
Matrix containing data simulated by SIMEX.
variance.ratio
Ratio of the variance of the predictor to the variance of the outcome.
Details
simex.estimates is a matrix with three columns.
Column 1 contains the values of lambda under which measurement error is simulated.
Column 2 contains the estimated slopes for each value of lambda.
Column 3 contains the sampling variances of the estimated slopes.
The likelihood is a profile likelihood for the true regression slope, with the profile taken over a nuisance
parameter representing the ratio of the sampling variance to the variance of the true predictors.
The profiling step requires a value for the variance.ratio.
Value
A vector with three elements, the estimated slope and its lower and upper 95% confidence limits.
DudbridgeLab/indexevent documentation built on Sept. 15, 2024, 2:25 a.m.
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View source: R/simexprofileCI.R
| simexprofileCI | R Documentation |
Profile likelihood confidence interval for SIMEX
Description
Obtains a maximum likelihood estimate of the slope in a simple linear regression model with measurement error in the predictor, using the SIMEX method.
Usage
simexprofileCI(simex.estimates, variance.ratio)
Arguments
simex.estimates |
Matrix containing data simulated by SIMEX. |
variance.ratio |
Ratio of the variance of the predictor to the variance of the outcome. |
Details
simex.estimates is a matrix with three columns.
Column 1 contains the values of lambda under which measurement error is simulated.
Column 2 contains the estimated slopes for each value of lambda.
Column 3 contains the sampling variances of the estimated slopes.
The likelihood is a profile likelihood for the true regression slope, with the profile taken over a nuisance
parameter representing the ratio of the sampling variance to the variance of the true predictors.
The profiling step requires a value for the variance.ratio.
Value
A vector with three elements, the estimated slope and its lower and upper 95% confidence limits.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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