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The second maternal primary outcome measure, mean difference in pain relief at 60 minutes, will be estimated using multiple regression.
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Census undercounts are estimated using multiple censuses and a demographic method known as back projection.
Odds ratio (OR) and 95% confidence interval (CI) were estimated using multiple conditional logistic regression models.
For the responses, the model coefficient was estimated using multiple regression analysis technique in RSM.
Neighborhood socioeconomic effects on health have been estimated using multiple variables and indices.
The coefficients of the models for the response were estimated using multiple regression analysis technique included in the RSM.
The slip angle was estimated using multiple linear regression function; the regression model explained 75.3% of the observed data.
The prevalence odds ratio (OR) for the association between recurrent headache (including subgroups migraine and TTH) and different BP groups was estimated using multiple logistic regression.
The propensity scores were estimated using multiple logistic regression analysis.
MCII and PASS were estimated using multiple anchor-based approaches.
Detected QTL effects are estimated using multiple QTL imputation.
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