Sentence examples for evaluating causal from inspiring English sources

This simple and easy method for evaluating causal relationships can contribute to prompt issue evaluation, signal detection and regulatory updating.

RCT has become the gold standard for evaluating causal links between interventions and health results.

Although randomized experimental and quasi-experimental designs can, under ideal conditions, provide a sound basis for evaluating causal claims, this does not preclude the possibility that reliable causal inferences can be drawn from non-experimental/observational settings.

ofMRI allows for a more direct investigation of causal influences from the stimulated site to brain regions activated downstream and is therefore ideal for evaluating causal estimation methods in vivo.

In regression discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed threshold.

Longitudinal designs provide a better basis for evaluating causal associations than cross-sectional studies.

To resolve this apparent contradiction between the "dynamic" and "static" networking hypothesis, we performed event-related fMRI experiments during Posner's cueing paradigm [21], followed by a comprehensive effective connectivity analysis with partial Granger causality (pGC), to quantify and evaluate causal streams along the DAN for orienting, holding, and other attentional states.

There is a paucity of severity data and analytical data which evaluates causal roles of risk factors for neck injury in Rugby Union.

In this paper, we propose Causal Requirements Safety Analysis CRSSA) as a technique to qualitatively evaluate causal relationship between software faults and physical hazards.

Donald Campbell and Julian Stanley invented the term quasi-experiment, described many variants of these designs, invented a validity typology (statistical conclusion validity, internal validity, construct validity, external validity) and threats to validity to help evaluate causal inferences from these designs, and emphasized the use of design features to rule out or diagnose these threats.

This was followed by a pGC analysis on the fMRI data, to quantify and evaluate causal streams along the DAN for orienting, holding, and other attentional states.