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We assessed the interrelationships among the baseline covariates, the changes of post-randomization IOP over time, and the risk of developing POAG, using a latent class analysis (LCA) which allows us to identify distinct patterns (latent classes) of IOP trajectories.
Specifically, using a Latent class discrete choice analysis we identified distinct segments.
Using a latent class analysis, the authors obtained a set of three segments that are representative of Portuguese wine consumers.
Using a latent class model we identify four classes of residents, each with different preferences for woodland restoration and additional housing.
This study analyzed the interconnections between urban structure and socioeconomic, demographic and lifestyle variables and direct ground transport greenhouse gas (GHG) emissions in the Helsinki metropolitan region in Finland by using a latent class choice model (LCCM).
Accordingly, we estimate Equation (1) using a latent class framework to account for individual unobserved heterogeneity in response to job strain.
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The paper uses a latent class specification for the AH model to capture heterogeneity and propensity to accelerate (or decelerate) activity durations.
We have used a latent class approach in order to imitate the data generating process underlying the demand functions, where consumer's preferences are determined before consumers purchase.
We use a latent class model with attribute non-attendance for one class to accommodate the preferences of farmers who always select the status quo option without making a trade-off for experimentally designed policy attributes.
Accordingly, we use a latent class model to capture heterogeneous responses to job stress.
Inferred uses a latent class model to classify respondents depending on the estimated probability that respondents ignore selected attributes.
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