Sentence examples for both the Fixed effect from inspiring English sources

Yet, the precision of both the fixed effect and inter-individual variance parameters were very close to those found with the ML uncensored data (Table  2), showing the relevance of maximum likelihood in the handling of censored data.

For dichotomous outcomes, given we expected small trials, with some reporting few or no drop-outs, we used both the fixed effect Mantel-Haenszel method18,19 with a continuity correction of 0.5 for zero counts, as well as Peto's method20, as previously recommended21,22.

We pooled the study-specific estimates using both the fixed effect model and the random effect model proposed by DerSimonian and Laird; when a significant heterogeneity was found, the random effect model results were presented.

Again, both the Fixed effect and MD follow the same pattern as expected.

Furthermore, for this subgroup both the fixed effect and random effects estimates suggest a highly Significant and substantial detrimental effect of neoadjuvant chemotherapy.

However Rodriguez and Goldman [ 18, 19] showed that the marginal quasi likelihood with first order Taylor expansion underestimates both the fixed effect and the variance-covariance components.

Moreover, both the PI effect and interval timing are shown to be jointly influenced by neuropathologies such as Parkinson's disease in humans or dopamine-depleting brain lesions in experimental animals.

Both the KJ effect [ 8] and the Fisher effect [ 12] can arguably be considered within the wider context of mutation and selection, even though Fisher's argument was not couched in mathematical terms.

Finally, whether through GSC selection, telomerase, or both, the PAC effect on the offspring LTL, suggests that the evolutionary force on DNA sequences by the numerous replications of the male germ line in humans (Haldane, 1937; Shimmin et al., 1993) might be exerted through not only mutations but also TL.

Since the power of multitrait analysis depends on both the QTL effects and the correlation structure, it is not possible for analysis of clustered traits to work best at loci of different QTL effects.

Jiang and Zeng (1995) and Korol et al. (1995) demonstrated that the statistical power of multitrait analysis depends on both the QTL effects and the structure of the residual covariance of the traits.