Sentence examples for bases for causal inference from inspiring English sources

This process is likely to be difficult because different disciplines may rely on different bases for causal inference, notions of impact, measurement systems, and theoretical frameworks.

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.

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

Based on the modern theory of diagrams for causal inference using Directed Acyclic Graphs (DAGs), as described in Howards et al. (2012), we assume that E (exposure) is PFC, A is fecundability, S1 is the previous TTP, and that S2 is the current TTP (Fig. 1A in Howards et al. (2012)).

In order to be able to strengthen the case for causal inference we are conducting systematic monitoring and documentation of the intervention based on our intervention (figure 3).

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

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

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.