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Finally, the identification test was conducted for the instrumental variable model to find out whether the model was identified.
First, we use a dummy variable model to study the day-of-the-week effect; next, we regress the time series of returns on the mood template.
Zeng et al. (2011) used dummy variable model to develop generalized biomass model of Pinus massoniana at regional scale in south China, and indicated dummy model had good performance.
The Cox proportional hazards model was used in a multiple variable model to assess the risk of dislocation in association with femoral head diameter, with adjustment for sex, age, diagnosis, and type of prosthesis (SPSS, Chicago, IL, USA).
In this study, we used a dynamic state variable model to analyze whether these three hypotheses can explain the observed changes in migratory behavior of Barnacle geese.
We used a dynamic state variable model to predict the migration strategy of the Barnacle goose that maximizes expected lifetime reproductive success under different environmental circumstances.
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I estimate instrumental variable models to address this source of bias.
Previous research has applied approaches other than (continuous) latent variable modelling to represent differences in test-taking engagement.
More broadly, we demonstrate the value of combining matched task designs with latent variable modelling to deconstruct the components of complex tasks.
However, these effects could be modeled at least empirically through application of techniques for categorical variable modeling to preclinical cardiovascular data.
We then used the single-variable model to determine whether any HLA alleles followed the tree.
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CEO of Professional Science Editing for Scientists @ prosciediting.com