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In all models we find strong and significant negative associations between density and fertility.
In all models, we set a large boundary and look at the whole system, incorporating both military personnel and veterans.
In all models, we adjusted for covariates with potential influences on HR, HRV, and WBC – selected based on prior knowledge and the existing literature – season (fall/winter/spring/summer), chamber temperature, and relative humidity.
In all models, we estimated parameters for an initial non-decision interval (t), thought to reflect processes like encoding of the target; and the distance between the boundaries (a); and drift rate (v).
In all models, we tested for linear effects, first-order interactions and model fit using the likelihood ratio test.
In all models, we used additive SNP effects with no interactions.
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Note that all models we used in paml were named after [ 54].
In all the models we present, although we expect animals to make rational choices between these two possible strategies, we assume that the selection of an aggregated or expert choice rule takes place through an evolutionary process [13], [16].
In all these models we can add a frailty, that is, a random individual effect to explain the dependence of individual recurrent events.
Since the treatment indicator was non-significant in all these models, we concluded that the selection bias had been successfully removed, and our subsequent models would be balanced (Dehejia and Wahba 2002).
Level normalization was in fact included in all the models we tested, so as to focus on ITD cues (rather than interaural level differences).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com