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Effects of acetazolamide were analyzed by comparing baseline variables and the time-dependent changes by one-way analysis of variance for repeated measures.
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We compared baseline variables between the groups by the ANOVA test for continuous variables and the χ test for categorical variables (exact Fisher test with observed frequencies <5).
Bivariate analysis was undertaken to determine relationships between the Community Health Strategy intervention and health outcomes by comparing baseline and endline outcome variables in intervention and control sites.
Possible differential attrition will be assessed by comparing baseline characteristics of those who withdraw with those who remain in the study using t tests or Mann-Whitney U tests for continuous variables and χ tests for categorical variables.
Missing data from women who dropped out of the study will be handled first by comparing their baseline variables with those who completed the study, and secondly using imputation techniques [ 45].
When comparing baseline characteristics among groups, the χ2 and t-test were used to compare categorical and continuous variables, respectively.
All exposure groups were first compared on baseline variables.
Quantitative variables to compare baseline and follow-up values from individual patients were compared by using the t test for paired samples, after log transformation, where appropriate.
We compared baseline characteristics by lead and mortality status, using chi-square tests for categorical variables and t-tests for continuous variables.
The effects of intervention for categorical outcome variables (regular leisure time physical activity, healthy diet) will be measured by comparing the baseline and post-intervention evaluation stages for differences in these variables using Chi-square test.
We first compared baseline descriptive characteristics by treated and untreated diabetes status (ever vs. never during study) with ANOVA for continuous variables and χ tests for categorical variables.
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