Sentence examples for conditional logit regression from inspiring English sources

The data were analysed using conditional logit regression models to estimate respondents' willingness to accept (WTA) some amount of money compensation in lieu of foregone malaria risk reductions.

We used conditional logit regression models to examine the association of PNC with neonatal mortality.

Conditional logit regression was used to determine each group's utility for each level of each asthma control parameter.

Conditional logit regression with choice as the dependent variable was used to analyse the BWS data and generate regression coefficients for attribute levels using Latent Gold Choice, version 4.5 (Belmont, MA).

Data analysis: Data from the DCE will be analysed using dichotomous choice models, for example, conditional or mixed logit regression.

The DCE data were analysed using conditional, mixed and generalised logit regression models, accounting for preference and scale heterogeneity.

However, whereas Kessler and McClellan (2000) used a conditional logit to model patient choices, we use a Poisson regression on aggregate GP-hospital flows, which is equivalent but is simpler to compute (Guimaraes et al., 2003).

The second analysis assessed the relationship between post-OP diagnosis GI events and BIS versus non-BIS treatment among patients who initiated treatment with a discrete choice conditional logit model and the same adjustment variables used in the logistic regression model.

The demand for outpatient care in three alternative providers was modeled using a multinomial logit regression for samples unconditional on being ill (N = 16485) and conditional on being ill (N = 5055).

I fit a hierarchical logit model, a nested logit model and a conditional logit model to state-to-state migration flows during 1975-1980, 1985-1990 and 1995-2000.

The data for the analysis are drawn from the survey Encuesta de Mayores 2010 (IMSERSO) by means of different specifications of Logit techniques, namely a Logit Regression Model and a Multinomial Logit Regression Model.