| ipddata {crossnma} | R Documentation |
Simulated individual participant dataset.
Description
A dataset containing 1944 participants who are treated in four different treatments: A, B, C and D. The dataset includes four studies. The outcome is binary. There are 10 attributes on individual level.
Usage
ipddata
Format
A data frame with 1944 rows and 10 variables:
- id
numeric, study identifier
- relapse
binary data, respond indicator, 0=no relapse and 1=relapse
- treat
character, indicating the assigned treatment to each participant
- design
character, design of the study, either 'rct' or 'nrs'
- age
numeric, age of the participant
- sex
binary data, sex of the participant, 0=female and 1=male
- rob
character, the risk of bias of the study, 'low', 'high','unclear'
- unfavored
numeric, the indicator of the unfavored treatment in each study, values are 0 or 1
- bias.group
numeric, the bias effect of the study, 1 = if the study has inactive treatment and adjust for bias effect, 2= if the study has active treatments and it is assumed another bias effect, 0=no bias adjustment
- year
numeric, the year study published