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We used conditional logit regression models to examine the association of PNC with neonatal mortality.
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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.
DCE data were analyzed using conditional logit models to explore the impact of each attribute on participants' choices.
Depending on the choice pattern of the respondents, the data will be analysed using conditional logit model with alternative-specific constants, a random parameter multinomial logit model (i.e. a mixed logit model) or a multilevel latent class conditional logit model, all with and without interaction effects.
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).
We then used conditional logistic regression to analyze the data.
Accordingly, we used conditional Cox regression for matched cohorts.
We used conditional logistic regression techniques to adjust for income.
Both analyses used conditional logistic regression, matching on stratum.
We used conditional logistic regression to estimate odds ratios.
Relative risk (RR) was calculated using conditional logistic regression.
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