babies: Crying Babies Data

In hoa: Higher Order Likelihood Inference

Description

The babies data frame has 36 rows and 4 columns.

Matched pairs of binary observations concerning the crying of babies. The babies were observed on 18 days and on each day one child was lulled. Interest focuses on the treatment effect “lulling”.

Usage

data(babies)

Format

This data frame contains the following columns:

r1

number of children not crying on one day;

r2

number of children crying on one day;

lull

indicator variable for the treatment;

day

factor variable for the days.

Source

The data were obtained from

Cox, D. R. (1970) Analysis of Binary Data (page 61). London: Chapman \& Hall.

References

Davison, A. C. (1988) Approximate conditional inference in generalized linear models. J. R. Statist. Soc. B, 50, 445–461.

Examples

data(babies)
coplot(r2/(r1+r2) ~ day | lull, data = babies)
##
babies.glm <- glm(formula = cbind(r1, r2) ~ day + lull - 1, 
                  family = binomial, data = babies)
babies.cond <- cond(object = babies.glm, offset = lullyes)
babies.cond

Example output

Call:
cond.glm(object = babies.glm, offset = lullyes)

Formula:  cbind(r1, r2) ~ day + lull - 1
Family:  binomial
Offset:  lullyes

          Estimate   Std. Error 
uncond.       1.432       0.7341
cond.         1.270       0.6888

Diagnostics: 
    INF      NP 
0.07596 0.28882 

 Approximation based on 20 points

hoa documentation built on May 2, 2019, 8:56 a.m.