The phrase "allowed for correlation" is correct and usable in written English.
It can be used in contexts where you are discussing the possibility or permission for a relationship or connection to be established between two or more variables or factors.
Example: "The study was designed in such a way that it allowed for correlation between the variables being analyzed."
Alternatives: "permitted correlation" or "facilitated correlation".
A consistent data base of reaction pathways, kinetics, and mechanisms for catalytic hydrogenation of one-, three-,hree-, and four-fused aromatic ring compounds allowed for correlation of their Langmuir-Hinshelwood-Hougen-Watson (LHHW) rate law parameters with molecular structure.
Direct observation of the wear interface via the slider allowed for correlation to be identified between the formation of transfer film and friction changes, wear rates, and the evolution of subsurface structures.
Second, time to specific Gag mutations were analyzed by fitting the Cox proportional hazards models with frailties, which allowed for correlation among data points contributed by each subject.
The data allowed for correlation analyses of Cr, As, and Cu levels.
As discussed previously, a comparative analysis allowed for correlation, but not causation.
This allowed for correlation in patient outcomes within health authorities or hospitals.
We used regression models that allowed for correlations within work units and care homes and adjusted these models for demographics, job characteristics and stressful life events.
In addition, we allowed for correlations between covariates and exposure variables by assuming that the covariates affected the latent variable (see Additional file 1, p. 3).
Our model covers the most general setting, namely, we allow for correlation in the signal distribution as well as for informational externalities in the valuations.
Quantitative data based on responses to a survey allows for correlation between aspects of distribution and empowerment to be considered across different contexts.
We model disease-marker association in a candidate region via a hidden Markov process and allow for correlation between linked marker loci.
