Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine.

ABSTRACT:

Introduction

While there are guidelines for reporting on observational studies (eg, Strengthening the Reporting of Observational Studies in Epidemiology, Reporting of Studies Conducted Using Observational Routinely Collected Health Data Statement), estimation of causal effects from both observational data and randomised experiments (eg, A Guideline for Reporting Mediation Analyses of Randomised Trials and Observational Studies, Consolidated Standards of Reporting Trials, PATH) and on prediction modelling (eg, Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis), none is purposely made for deriving and validating models from observational data to predict counterfactuals for individuals on one or more possible interventions, on the basis of

SUBMITTER: Xu J 

PROVIDER: S-EPMC9214357 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature