The use of prognostic scores for causal inference with general treatment regimes.

ABSTRACT: In nonrandomised studies, inferring causal effects requires appropriate methods for addressing confounding bias. Although it is common to adopt propensity score analysis to this purpose, prognostic score analysis has recently been proposed as an alternative strategy. While both approaches were originally introduced to estimate causal effects for binary interventions, the theory of propensity score has since been extended to the case of general treatment regimes. Indeed, many treatments are not assigned in a binary fashion and require a certain extent of dosing. Hence, researchers may often be interested in estimating treatment effects across multiple exposures. To the best of our knowledge, the prognostic score analysis has not been yet generalised to this case. In this article, we describ

SUBMITTER: Nguyen TL 

PROVIDER: S-EPMC6590249 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature