Sentence examples for missing data influences from inspiring English sources

For example, Molitor et al. (2006) documented the effect of missing exposure data at the individual level and determined that the methodology chosen to account for this missing data influences the conclusions regarding the observed health effects.

The Omega Study's high participation and retention rates reduced the likelihood that selection bias and missing data influenced our estimates of association.

Using these three matrices, we evaluated how different approaches reducing missing data influence our resulting topology and if the selected taxa and genes based on these different approaches have an influence on the inferred phylogeny.

However, it is not likely that the missing data have influenced the major conclusions.

The presence of missing data could influence the interpretation of the results.

Our previous report on the changes of muscle strength in the same population suggested that differential follow-up rate or nonrandom missing data might influence the results biased to the null (6).

Missing data on these influences await follow-on analyses (e.g., targeted genotyping in an affected population versus controls, animal modelling) that can be informed by the model developed here.

Analyses done to account for missing data did not influence the study findings or conclusions.

Many clinical data sets contain substantial amounts of missing data, but the influence of missing data on the inclusion frequency of prognostic variables used to select a model is hardly recognized [ 37].

Although analyses were conducted using pairwise complete data, results from analyses repeated on a subset of the study population with complete data indicate that missing data did not influence our results.

The way we handled missing data might have influenced the estimates or inflated the effects for variables with only few data points and long periods of interpolation (Supplementary Appendix pp. 16 18).