The phrase "assess causation" is correct and usable in written English.
It can be used in contexts where you are evaluating or determining the cause-and-effect relationship between variables or events.
Example: "In order to understand the impact of the new policy, we need to assess causation between the policy implementation and the observed changes in employee productivity."
Alternatives: "evaluate causality" or "analyze cause and effect".
We will also utilise guidelines on the methodology of systematic reviews to assess causation.
Many of the included studies were cross-sectional making it difficult to assess causation.
The observational cross-sectional design of our study means that we cannot assess causation, nor exclude residual confounding as an explanation for our findings.
We did not perform longitudinal studies, nor studies to establish the functional consequences of the SNPs, thereby restricting the ability to assess causation.
Preventative and ameliorative measures might subsequently be instigated to assess causation and affect the development and treatment of certain mental disorders.
Second, the design of the study was observational, we were able to examine potential associations but were unable to assess causation.
Harking back to Austin Bradford Hill and his criteria for assessing causation (Hill 1965), positive exposure response analyses are important in supporting the assessment of causality.
Meeuwisse (1994a) was one of the first sports medicine researchers to discuss the importance of accurately assessing causation in sports injury research.
Because randomisation is absent even if these threats to internal validity are assessed, causation still cannot be fully established.
The interaction between extrinsic and intrinsic factors, including genetic risk factors, is crucial to assessing causation in non-contact soft musculoskeletal tissue injuries (NCSMTIs) [ 1- 3].
By causal molecular interactions or relations we mean interactions of molecular variables that match the notion of randomized controlled experiment, which is the de facto standard for assessing causation in the general sciences and biomedicine [ 1- 5].
