pubh (version 1.1.16)

Rothman: Oral contraceptives and stroke.

Description

A case-control study of oral contraceptives and stroke in young women with presence or absence of hypertension. Cases represent thrombotic stroke and controls are hospital controls. The group of no hypertension includes normal blood pressure (<140/90 mm Hg) and borderline hypertension (140-159/90-94 mm Hg). Hypertension group includes moderate hypertension (160-179/95-109 mm Hg) and severe hypertension (180+/110+ mm Hg). This data has been used as an example of join exposure by Rothman for measuring interactions (see examples).

Usage

Rothman

Format

A labelled tibble with 477 rows and 3 variables:

stroke

Thrombotic stroke, factor with levels "No" and "Yes".

oc

Current user of oral contraceptives, factor with levels "Non-user" and "User".

ht

Hypertension, factor with levels "No" (<160/95 mm Hg) and "Yes".

Examples

# NOT RUN {
data(Rothman)

cross_tab(stroke ~ oc + ht, data = Rothman)

mhor(stroke ~ ht/oc, data = Rothman)

## Model with standard interaction term:
model1 <- glm(stroke ~ ht*oc, data = Rothman, family = binomial)
glm_coef(model1)

## Model considering join exposure:
Rothman$join <- 0
Rothman$join[Rothman$oc == "Non-user" & Rothman$ht == "Yes"] <- 1
Rothman$join[Rothman$oc == "User" & Rothman$ht == "No"] <- 2
Rothman$join[Rothman$oc == "User" & Rothman$ht == "Yes"] <- 3
Rothman$join <- factor(Rothman$join, labels=c("Unexposed", "Hypertension", "OC user",
                       "OC and hypertension"))

require(sjlabelled)
Rothman$join <- set_label(Rothman$join, label = "Exposure")

cross_tab(stroke ~ join, data = Rothman)

model2 <- glm(stroke ~ join, data = Rothman, family = binomial)
glm_coef(model2)
odds_trend(stroke ~ join, data = Rothman)$df
odds_trend(stroke ~ join, data = Rothman)$fig
# }

Run the code above in your browser using DataCamp Workspace