User Tools

Site Tools


projects:workgroups:patient-level_prediction:best-practice

This is an old revision of the document!


OHDSI Best Practices for Patient Level Prediction Modelling

:!: This document is under development. Changes can be proposed and discussed via the OHDSI Forum and in the Population-Level Estimation Workgroup meetings.

General principles

  • Transparency: others should be able to reproduce your study in every detail using the information you provide.
  • Prespecify what you're going to estimate and how: this will avoid hidden multiple testing (fishing expeditions, p-value hacking). Run your analysis only once.
  • Validation of your analysis: you should have evidence that your analysis does what you say it does (showing that statistics that are produced have nominal operating characteristics (e.g. p-value calibration), showing that specific important assumptions are met (e.g. covariate balance), using unit tests to validate pieces of code, etc.)

Best practices (generic)

projects/workgroups/patient-level_prediction/best-practice.1461088153.txt.gz · Last modified: 2016/04/19 17:49 by prijnbeek