Sentence examples for foundations for causal inference from inspiring English sources

An important set of papers that have provided the statistical foundations for causal inference in experimental and quasi-experimental studies derives from the work of Neyman (1923) and Rubin (1974), see also; Holland 1986) here referred to as the Rubin Causal Model (RCM).

Cross-sectional design provides a limited basis for causal inference, especially if there are omitted variables.

Although the latter provide a weaker basis for causal inference, similar econometric evidence supported the initial case for tobacco taxation.

In these meta-analyses, more numbers from observational studies may aid in clinical information and establish a more solid foundation for causal inferences [ 11].

A second obvious limitation is that our research design cannot be used as the basis for causal inferences.

We review the causal inference problem in social epidemiology, and the potential for causal inference in randomized social interventions.

However, the value of this association for causal inference is uncertain.

The Bradford Hill criteria are the best available criteria for causal inference.

However, well-conducted quasi-experimental studies can provide strong evidence for causal inference.

In this subsection, we discuss a methodology for causal inference in observational data.

I proposed an approach to causal inference in LSAs that requires the articulation of framework for causal inference followed by a statistical approach that closely matches the framework and can yield the causal estimand of interest.