A Simple-to-Use R Package for Mimicking Study Data by Simulations.

ABSTRACT:

Background

 Data protection policies might prohibit the transfer of existing study data to interested research groups. To overcome legal restrictions, simulated data can be transferred that mimic the structure but are different from the existing study data.

Objectives

 The aim of this work is to introduce the simple-to-use R package Mock Data Generation (modgo) that may be used for simulating data from existing study data for continuous, ordinal categorical, and dichotomous variables.

Methods

 The core is to combine rank inverse normal transformation with the calculation of a correlation matrix for all variables. Data can then be simulated from a multivariate normal and transferred back to the original scale of the variables. Unique features of modgo are that it allow

SUBMITTER: Koliopanos G 

PROVIDER: S-EPMC10462429 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature