Sentence examples for avoid regression from inspiring English sources

The phrase "avoid regression" is grammatically correct and can be used in written English.
It means to prevent or avoid going back to a previous state or condition. Example: In order to maintain progress, it is important to avoid regression by consistently practicing the skills learned in therapy.

Exact(1)

Because most characteristics of epidemiological studies are measured with a degree of error and are subject to fluctuations within individuals over time, correction of such variability in future studies would help to avoid "regression dilution".

Similar(59)

The best case scenario, coming out of an incident like this, is that the game improves and avoids regression.

With an economic and environmental crisis pushing society to the brink of civil unrest, we must avoid a regression into the culture of jobs "for the boys" (and girls), which is where mainstream media has been heading in recent years.

To avoid spurious regression, we first run ADF unit root test on the original data to test the stationarity.

Meanwhile, to avoid spurious regression caused by the time variable, this article includes time trend in the model as well.

Thus, we instead use the first order difference variables, which are I 0) series, for the empirical model estimations to avoid spurious regression results.

In order to avoid spurious regression of non-stationary series at level, all series are tested for unit root by employing the Im, Pesaran and Shin (IPS) and the ADF-Fisher chi-square panel unit root tests.

Machine-read values for all chemicals were used to avoid biasing regression estimates [ 30, 31].

A cut-off of 0.40 for the P-value was chosen to avoid estimated regression coefficients being biased high (in absolute sense) and their standard errors being biased low.

The discrete nature of the residuals as respects time, generated by SEER's recording survival in months and not days, showed a minor reason to avoid Cox regression, which assumes data are not broadly grouped.

Variables completely outside the system of interest and variables only associated with the exposure or outcome were not included in the final model in order to avoid unnecessary regression adjustment and improve precision of estimators.

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