Sentence examples for causes of statistical from inspiring English sources

We conducted subgroup analyses to explore possible causes of statistical heterogeneity across studies.

These associations with the depressive-somatic dimension were lost after removing the cases with more extreme values, this suggesting that the outliers in our sample, in alternative to being a mere cause of statistical noise, represented a subgroup of postmenopausal women suffering from some degree of residual climacteric (including depressive and somatic) symptoms.

We cannot explain the exact cause of statistical indifference between two PEG-IFNs groups except flu-like symptoms or alopecia, but we cautiously supposed that the sample size for the comparative analysis of AE both in the present study and previous studies may be insufficient to detect difference between two groups.

A major problem in detecting diet-disease associations in nutritional cohort studies is measurement error in self-reported intakes, which causes loss of statistical power.

The causes of these statistical variations and their effects on device performance have been extensively studied, but their impact on circuit performance is still difficult to predict.

When joined with large sample size and a large number of genotyped markers, small errors can cause loss of statistical power and spurious associations.

For years the Robert Koch Institute (RKI) has been annually pooling and reviewing the data from the German population-based cancer registries and evaluating them together with the cause-of-death statistics provided by the statistical offices.

Since the Federal Cancer Surveillance Unit was founded in 1983, first the Federal Health Office and then the Robert Koch Institute (RKI) have been regularly pooling and reviewing the data from the German population-based cancer registries and evaluating them together with the cause-of-death statistics provided by the statistical offices.

Treating the difference in each index for each of the pairs of amino acids as 190 values causes all kinds of statistical problems with nonindependence, so the results of the logistic regression of substitutional asymmetry versus index differences should be viewed as an exercise in data exploration not hypothesis testing.

We next sought to determine the underlying cause of this statistical relationship between images and scene to which the visual system has adapted.

In this study, we investigate the fundamental cause of the statistical redundancy within and between TFs and HMs.