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We used conditional logit regression models to examine the association of PNC with neonatal mortality.
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The DCE data were analysed using conditional, mixed and generalised logit regression models, accounting for preference and scale heterogeneity.
We estimate physician altruism, the weight individuals attach to patients' health benefit, by fitting mixed logit and multinomial logit regression models to the experimental data.
Descriptive statistics, estimation of CHS, log linear regression and the logit regression models are used in the analyses.
According to the dependent variable's characteristics, we used negative binomial regression, general linear regression (OLS), logistic regression, and ordinal logit regression models.
The paper employs logit regression models [ 26].
Alternative modelling strategies may include: beta regression, variable-dispersion beta regression, and fractional logit regression models.
Conditional logit regression was used to determine each group's utility for each level of each asthma control parameter.
Assumptions of generalized linear models were not shown to be violated for binomial logit regression models.
Modelling used multiple logit regression models with and without spatial household random effects.
The DCE was analysed using multinomial logit regression models with test-specific parameters.
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