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He suggests that the unobserved individual effects can be considered conditional on the initial values and the time-varying exogenous variables in a way similar to the correlated random-effects model of Chamberlain (1984) using a similar auxiliary distribution for the unobserved individual effects.
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Conidiation is considered "conditional" and is dependent in part on carbon source.
Hence, an alternative construction of extensions can be obtained through the robust representations of LM-measures, by considering conditional expectations defined on the extended real number line, etc. 1)⇒2).
The GARCH model considers conditional variance as dependent on its own past lagged values.
Information on such variants could be included correctly in a summarized analysis by considering conditional effects of variants on the risk factor and outcome by adjustment for the lead variant in a regression model [Yang et al., 2012].
Without considering conditional dependency, these insights would be missed.
Consider conditional expectations 𝔼[ β∣ y] and 𝔼[ y2∣ y].
If one was exposed and the other unexposed, the exposure allocation could be considered random, conditional on the observed covariates.
Thirteen were considered possible, six conditional, one definite and four thought to be unlikely based on what is known about the drug.
In addition, supporting the relevance of the circadian rhythm of DA signaling, the effectiveness of quick-release bromocriptine for treatment of type 2 diabetes is considered to be conditional on its morning administration causing a "resetting" of central rhythms.
Wooldridge proposed a conditional maximum likelihood estimator that considers the distribution conditional on the initial period observations and exogenous covariates.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com