fungal: Fungal Infections Treatment Data

In cond: Approximate Conditional Inference for Logistic and Loglinear Models

Description

The fungal data frame has 10 rows and 4 columns.

Clinical trial on the success of a particular treatment for fungal infections. The study was carried out in five different research units. Interest focuses on the treatment effect.

Usage

data(fungal)

Format

This data frame contains the following columns:

success

the number of patients that benefited from the treatment;

failure

the number of patients with no benefit from the treatment;

group

an indicator variable for treatment (T=treatment, P=placebo);

center

a factor variable indicating the research unit where the study was carried out.

Source

The data were supplied by Sandoz Pharmaceuticals.

Examples

## (full data analysis)
data(fungal)
fungal.glm <- glm(cbind(success, failure) ~ center + group - 1, 
                  family = binomial, data = fungal, 
                  control = glm.control(maxit = 50, epsilon = 1e-005))
fungal.cond <- cond(fungal.glm, groupT)
plot(fungal.cond, which = 2)
## (partial data analysis) 
fungal.glm <- glm(cbind(success, failure) ~ center + group - 1, 
                  family = binomial, data = fungal, subset = -c(1,2,5,6), 
                  control = glm.control(maxit = 50, epsilon = 1e-005))
fungal.cond <- cond(fungal.glm, groupT)
plot(fungal.cond, which = 2)
## (Tables 1 and 3 are omitted).

cond documentation built on May 2, 2019, 6:45 a.m.