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Marker effects were estimated in the estimation population and used to predict the performance of hybrids in the test population.
Effects were estimated in percent units via log transformation, and uncertainty in the estimate was expressed as 90% confidence limits.
To see if this is the case, we estimated callback regressions that interact the NLH effect with whether the job ad posted a wage.32 No statistically significant interaction effects were estimated in any specification.
These familial substitution effects were estimated in families in which significant QTL segregated.
These familial substitution effects were estimated in families found to segregate significantly for the QTL.
Hence, numerous fixed effects were estimated in the subsequent analysis, although no real difference existed between them.
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With the use of a linear-mixed model, the effects of these fixed and random effects are estimated in one model and adjustments can be made.
The causal effects are estimated in a sharp regression-discontinuity design, allowing for workers' unobserved characteristics to jointly underlie their sequential and multidimensional outcomes in labor markets.
The marker effects are estimated in a reference population, which must have both genotypic and phenotypic records.
The random effects model assumes that the effects being estimated in the different studies are not identical, but follow a distribution.
Such a random effects meta-analysis model involves an assumption that the effects being estimated in the different studies are not identical but follow some distribution.
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