amenorrhea: amenorrhea

In glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models

amenorrhea

Description

A total of 1151 women completed menstrual diaries. The diary data were used to generate a binary sequence for each woman, indicating whether or not she had experienced amenorrhea (the absence of menstrual bleeding for a specified number of days) on the day of randomization and three additional 90-day intervals. The goal of this trial was to compare the two treatments (100 mg or 150 mg of depot-medroxyprogesterone acetate (DMPA)) in terms of how the rates of amenorrhea change over time with continued use of the contraceptive method.

Usage

data(amenorrhea)

Format

A data frame with 4604 rows and 4 variables:

ID

a numeric vector indicating the woman's ID.

Dose

a factor with two levels: "100mg" for treatment with 100 mg injection; and "150mg" for treatment with 150 mg injection.

Time

a numeric vector indicating the number of 90-day intervals since the trial beagn.

amenorrhea

a numeric vector indicating the amenorrhea status (1 for amenorrhea; 0 otherwise).

References

Fitzmaurice G.M., Laird N.M., Ware J.H. (2011, page 397). Applied Longitudinal Analysis. 2nd ed. John Wiley & Sons.

Machin D., Farley T.M., Busca B., Campbell M.J., d'Arcangues C. (1988) Assessing changes in vaginal bleeding patterns in contracepting women. Contraception, 38, 165-79.

Examples

data(amenorrhea)
dev.new()
amenorrhea2 <- aggregate(amenorrhea ~ Time + Dose,mean,data=amenorrhea,na.rm=TRUE)
barplot(100*amenorrhea ~ Dose+Time,data=amenorrhea2,beside=TRUE,col=c("blue","yellow"),ylab="%")
legend("topleft",legend=c("100 mg","150 mg"),fill=c("blue","yellow"),title="Dose",bty="n")

glmtoolbox documentation built on Oct. 10, 2023, 9:06 a.m.