odds.msm: Calculate tables of odds ratios for covariates on...
In msm: Multi-State Markov and Hidden Markov Models in Continuous Time
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Odds ratios are computed by exponentiating the
estimated covariate effects on the logit-misclassification
probabilities.
Usage
1
odds.msm(x, odds.scale = 1, cl = 0.95)
Arguments
x
Output from msm representing a fitted
multi-state model.
odds.scale
Vector with same elements as number of covariates
on misclassification probabilities. Corresponds to the increase in
each covariate used to calculate its odds ratio. Defaults to all 1.
cl
Width of the symmetric confidence interval to present.
Defaults to 0.95.
Value
A list of tables containing odds ratio estimates, one table for each covariate.
Each table has three columns, containing the odds ratio, and an
approximate upper 95% and lower 95% confidence limit respectively
(assuming normality on the log scale), for each misclassification
probability.
Author(s)
C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk
See Also
msm documentation built on May 2, 2019, 6:51 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Odds ratios are computed by exponentiating the estimated covariate effects on the logit-misclassification probabilities.
Usage
1 | odds.msm(x, odds.scale = 1, cl = 0.95)
|
Arguments
x |
Output from |
odds.scale |
Vector with same elements as number of covariates on misclassification probabilities. Corresponds to the increase in each covariate used to calculate its odds ratio. Defaults to all 1. |
cl |
Width of the symmetric confidence interval to present. Defaults to 0.95. |
Value
A list of tables containing odds ratio estimates, one table for each covariate. Each table has three columns, containing the odds ratio, and an approximate upper 95% and lower 95% confidence limit respectively (assuming normality on the log scale), for each misclassification probability.
Author(s)
C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk
See Also
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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