Exact(21)
In order to optimize the setting of γ, we use the idea of the Neyman-Pearson lemma, which is based on a single observation, for multiple observations.
To account for multiple observations within individual, models were fitted using an unstructured covariance matrix.
We use generalized estimating equation (GEE) procedures to account for multiple observations of the same ego across ego-alter pairings [28] and we assume an independent working correlation structure for the clusters [28].
A population-averaged model for all outcomes was used to account for multiple observations on a single subject (using xtlogit and xtreg in STATA 10 with the pa option).
Robust variance estimator was used to account for multiple observations per patient and correlation within subjects.
All models were adjusted for multiple observations per subject, as a random effect.
Similar(39)
Statistical significance for multiple observation parameters in the same group was determined by One-way Analysis of Variance (ANOVA).
Heifer was added as random effect to correct for clustering of multiple observations (6) per heifer (RANDOM statement).
Type (a): For conversions detected using several outgroup species for a particular paralogous pair, the case of multiple observations for a single conversion event is distinguished from that of repeated conversion events by comparing the boundaries of the conversion regions.
Drivers' longitudinal and lateral vehicle control observed across various road traffic conditions were then modelled by Generalized Estimation Equations (GEE) with exchangeable correlation structure accounting for heterogeneity resulting from multiple observations from the same driver.
Robust standard errors were estimated to account for the clustering of multiple observations from each respondent.
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