Sentence examples for on overall mean from inspiring English sources

Exact(5)

Similarly, genetic differentiation measured by Fst value based on overall mean pairwise genetic distances was higher at exon 2 putative ABS amino acid sites (Fst = 0.097; p<0.01) than at neutrally evolving intron 1 (Fst = 0.021; p<0.01) or synonymous exon 2 alleles (Fst = 0.021; p<0.021.

This conclusion is further supported by a data analysis carried out on overall mean percent values in Sham animals showing that MCh or IL in food restricted and WCh or IPL in control mice produce higher prefrontal NE release than MCh or IL in control mice (one-way ANOVA: Chocolate: F (2, 22) = 5.36, P<0.05; Light: F (2,16) = 5.17, P<0.05) (Fig. 2).

Additional sensitivity tests indicated that the impact of CHD events, as driven by treatment-emergent diabetes and hyperlipidemia, had minimal impact on overall mean annual medical cost or cost per QALY.

This approach allows us to estimate the impact of IR, not only on overall mean levels of HRV variables as in previously published studies, but it also enabled us to examine the impact of IR on the amplitude and acrophase time of HRV.

Medians are used instead of means to reflect the effects of changes in small as well as large facilities, as changes in facilities with very large numbers of OPD visits can have a disproportionate effect on overall mean staff-patient ratios.

Similar(55)

Subsequent on-treatment overall mean scores were similar between axitinib and sorafenib, and there was no substantial decline during treatment.

However, this difference can be attributed to the different normalization procedures on the array, i.e. based on the overall mean, or in the qPCR data, i.e. based on housekeeping genes, as well as on the the different mechanisms of reverse transcription that is used for qPCR and expression arrays.

The effects of the experimental conditions on the overall mean moisture contents were statistically examined.

Regression parameters were specified in two-part marginalized models for direct estimation of exposure effects on the overall mean count using maximum likelihood methods.

While there is sometimes interest in latent classes, researchers across many fields of inquiry are frequently interested in quantifying the effects of covariates on the overall mean count while adjusting for unexplained heterogeneity.

In this article, we seek to expand the class of marginalized mixture models for zero-inflated and other heterogeneous count data to allow for greater model choice with maximum likelihood estimation, when there is interest in evaluating the effects of exposures on the overall mean count.

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