EO: Compute the ratio of expected event to observed events for...

In blm: Binomial Linear Regression

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 blm or lexpit
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 [e-mail]

Examples

data(ccdata)

fit <- blm(y~female+packyear,data = ccdata,
			weight = ccdata$w, strata = ccdata$strata)

EO(fit)

EO(fit, ccdata$strata) # BY FACTOR

blm documentation built on Sept. 12, 2022, 9:05 a.m.