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Generalized linear models with robust variance estimation were used to estimate the relative risk (RR) of overweight and WHtR > 0.5 (Zou 2004).
Generalized estimating equation methods with robust variance estimation were used to account for repeated measures on participants.
Two methods of estimation were used and consistent genome length estimates were obtained using both Fishman et al. (2001) and Chakravarti et al. (1991) methods.
Student's t-test, χ2-test and relative risk estimation were used.
Estimated breeding values from routine breeding estimation were used for fertility traits.
Hierarchical linear modeling with fixed effects and multinomial logit estimation were used to analyze differences in life satisfaction and perceptions of financial hardship.
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Panel data estimation is used to estimate the two models.
The method of maximum likelihood estimation is used in estimating the parameters of the KGD.
STATA bootstrap estimation was used to estimate 95% confidence intervals.
Maximum likelihood estimation was used to estimate the parameters.
The method of pseudolikelihood estimation was used to estimate the models.
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