Description Usage Arguments Value Author(s) See Also

Odds ratios are computed by exponentiating the estimated covariate effects on the logit-misclassification probabilities.

1 | ```
odds.msm(x, odds.scale = 1, cl = 0.95)
``` |

`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. |

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.

C. H. Jackson [email protected]

msm documentation built on May 31, 2017, 5:10 a.m.

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