Impact of HAQ on odds ratio for mortality from table 4 in Wolfe et al (2003).

mort.or

Format

A data frame with 1 row and 9 columns:

var

Name of variable

or

Odds ratio without radiographic data

or_se

Standard error of odds ratio without radiographic data

or_lower

Lower bound of 95 percent CI of odds ratio without radiographic data

or_upper

Upper bound of 95 percent CI of odds ratio without radiographic data

logor

Log odds ratio without radiographic data

logor_lower

Lower bound of 95 percent CI of log odds ratio without radiographic data

logor_upper

Upper bound of 95 percent CI of log odds ratio without radiographic data

logor_se

Standard error of log odds ratio without radiographic data

Source

Wolfe, Frederick, et al. "Predicting mortality in patients with rheumatoid arthritis." Arthritis & Rheumatism 48.6 (2003): 1530-1542.

Details

The standard errors of the log odds ratios are derived from the 95 percent confidence interval for the log odds ratio, which is, in turn, calculated by taking the log of the lower and upper bounds of the 95 perent confidence interval for the odds ratio.