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To further explore any potential confounding, we assessed the mutually adjusted effects of gender and cleft type on the occurrence of tooth agenesis or microdontia through logistic regression.
We report pooled analyses from different study designs as summary unadjusted or adjusted effects.
We fit the binary regression model to assess adjusted effects of socioeconomic, demographic and cultural characteristics on the likelihood of using prenatal care (used prenatal care = 1; otherwise = 0).
Our analyses adjusted effects of 17 covariates, which have shown significant associations in previous research.
Therefore, model (4) may be extended to estimate adjusted effects of HRs between event-specific hazard functions and adjusted effects of covariates assuming time-dependent effects as well as constant effects.
Multivariate analysis was performed by logistic regression in order to evaluate the adjusted effects of the different variables.
Secondly, the questions make it possible to identify the factors associated with weaning and to obtain their adjusted effects.
Next, we assessed the multivariate (mutually adjusted) effects of all variables that attributed univariately with statistical significance (p < 0.05).
Adjusted effects are considered in the primary analysis, but both adjusted and unadjusted effect measures are reported.
Maximum likelihood method was used for parameter estimation and adjusted effects are presented as an OR with 95 % CI.
Confounders were assessed for each risk factor separately to obtain estimates of the adjusted effects on health status.
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