trial_data: Generated clinical trial data with binary response

In CDsampling: 'CDsampling': Constraint Sampling in Paid Research Studies

Generated clinical trial data with binary response

Description

Generated with logistic regression model:

logit(P(Y_{ij} = 1 | gender_i, age_{i1}, age_{i2})) = 3*gender_i +3*age_{i1} +3*age_{i2}

The data frame can be used to run GLM clinical trial example in Huang, Tong, Yang (2023)

Usage

trial_data

Format

A data frame with 500 rows and 6 variables:

gender

gender of the patients

age_1

1 or 0, whether or not the patient belongs to 18-25 age group

age_2

1 or 0, whether or not the patient belongs to 26-64 age group

label

stratification group in terms of gender and age, 1 to 6

Y

treatment effective or not, Y=1 means treatment is effective to the patient

ID

patient ID, 1-500

Source

Generated pseudo clinical trial data to serve as an example.

Examples

data(trial_data) #lazy loading

CDsampling documentation built on Oct. 13, 2024, 9:07 a.m.