Improving reproducibility by using high-throughput observational studies with empirical calibration.

ABSTRACT: Concerns over reproducibility in science extend to research using existing healthcare data; many observational studies investigating the same topic produce conflicting results, even when using the same data. To address this problem, we propose a paradigm shift. The current paradigm centres on generating one estimate at a time using a unique study design with unknown reliability and publishing (or not) one estimate at a time. The new paradigm advocates for high-throughput observational studies using consistent and standardized methods, allowing evaluation, calibration and unbiased dissemination to generate a more reliable and complete evidence base. We demonstrate this new paradigm by comparing all depression treatments for a set of outcomes, producing 17 718 hazard ratios, each using metho

SUBMITTER: Schuemie MJ 

PROVIDER: S-EPMC6107542 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature