EO {blm} | R Documentation |
Compute the ratio of expected event to observed events for blm
and lexpit
objects.
Description
Returns a list of expected to observed counts and the specified confidence interval. The argument group
can be used to estimate this ratio by the categories of the categorical variable group
. If population-based case-control data is used to fit the model, the expected counts are for the population and make use of the sampling weights.
Usage
EO(object, index = NULL, level = 0.95)
Arguments
object |
object of class |
index |
factor for computing E/O comparison by subgroups |
level |
numeric, confidence level (between 0 and 1) for the E/O ratios |
Value
Data frame with:
E
expected count
O
observed counts
EtoO
ratio of expected to observed
lowerCI
lower endpoint of confidence interval for E over O ratio
upperCI
upper endpoint of confidence interval for E over O ratio
Author(s)
Stephanie Kovalchik s.a.kovalchik@gmail.com
Examples
data(ccdata)
fit <- blm(y~female+packyear,data = ccdata,
weight = ccdata$w, strata = ccdata$strata)
EO(fit)
EO(fit, ccdata$strata) # BY FACTOR
[Package blm version 2022.0.0.1 Index]