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Regression models assessed the relationship between caffeine consumption and performance on batteries designed to probe speed of processing, inhibition, memory, and executive function.
Logistic regression models assessed the demographic and attitudinal characteristics associated with participants' willingness to give consent for unspecified future uses of their donation when presented with 7 research scenarios that raised possible non-welfare interest concerns.
Cox proportional hazard models assessed the ability of baseline biomarkers to predict conversion from cognitive normalcy (CDR 0) to very mild or mild dementia (CDR 0.5 and 1).
The second set of models assessed the effect of female age on the age and dominance rank of the males they had been observed mating with.
The third set of models assessed the effect of male age and dominance rank on the age of the females they had been observed mating with.
Separate models assessed the effects of trait anhedonia, and the interaction between trait anhedonia with probability level, reward magnitude and/or expected value.
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Simulation models assess the interactions between drivers and are often spatially explicit.
Further studies have been conducted in pre-clinical models assessing the utility of FLT PET in assessing tumor response to chemotherapy.
Most current dispersion models assess the pollutant concentration at distances away from the building.
Probability of default models assess the likelihood of default by an obligor.
Though these models assess the energy consumption of residential sector, they have limited abilities to assess the impact of scenarios of reduction in energy consumption (Fung 2003).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com