Sentence examples for estimation of the causal from inspiring English sources

Violation of parallel trend assumption will lead to biased estimation of the causal effect.

This study was designed to integrate three available statistical technologies (instrumental variables, residual inclusion, and shrinkage) to allow sleep investigators to employ data on variable adherence in the estimation of the causal effect of treatment as received on clinical outcomes.

Estimation of the causal effect of interest can proceed from the classical (frequentist) perspective or from the Bayesian perspective.

Since the data are panel, estimation of the causal relationship utilizes common pooled regression, fixed effect model, and random effect model.

The estimation of the causal path between age and cognitive proficiency is problematic because of several factors, such as grade retention, delayed entry, and entry grade acceleration.

In particular, the past decades have seen progress in terms of data availability and the credible estimation of the causal effects of given educational inputs.

One such study made use of the Log-linear Graphical Model (LGM) [ 14] for statistical tests and estimations of the causal relationships among motifs [ 15].

These partially differing results might be due to the collinearity of climatic covariates which hinders the estimation of robust causal effects especially for the upper boundaries of the data ranges.

Adding a set of convening covariates, such as IQ, social background, motivation, character, temperament traits, and others related to the earnings covariates might result in the estimation of the unbiased conditional causal relationship between schooling and earnings.

In contrast to currently used single nucleotide polymorphism (SNP) panels, the use of whole-genome sequence data is expected to enable the direct estimation of the effects of causal mutations on a given trait.

We note that a limitation of the Riska et al [ 42] approach is that using the same mean squares for the estimation of different causal components generates covariance between the estimates which is not accounted for in the model as implemented either by Riska et al [ 42, 55] or here (i.e. the off-diagonal elements of the V matrix are set to zero, see below).