Example disconnected component network: individual patient data

Individual patient data for studies S3 (A+B+C vs A+B) and S4 (A+B+D vs A+B) of the cpaic_bin_agd network. A single effect modifier x1 is imbalanced relative to the target population (x1 = 0), so population adjustment changes the C and D component effects.

Usage

cpaic_bin_ipd

Format

A data frame with 3200 rows and 4 columns:

.study

Study label (S3 or S4).

.trt

Treatment arm.

.y

Binary outcome (0/1).

x1

Continuous effect modifier.

The attribute "truth" holds the data-generating parameters.

See also

cpaic_bin_agd, cmaic(), cstc()