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 chris.jackson@mrc-bsu.cam.ac.uk

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.