For categorical variables, statistical analysis was carried out using the odds ratio (OR) as the summary statistic.
In parallel, a set of design charts and analytical relations is established, for approximate computation of maximum pile deflections and bending moments, using a "theory guided" multi-variable statistical analysis of the numerical predictions.
We tabulated the significant fish habitat relationships given the different study sites, fish and habitat variables, statistical analysis, sampling efforts and scales.
For categorical variables, statistical analysis was based on the chi-squared test or the chi-squared test with Yates' adjustment.
For continuous variables, statistical analysis was carried out using the weighted mean difference (WMD) as the summary statistic, comparing the treatment (LA) group with the reference (OA) group using the inverse variance method.
For assessment of the different variables, statistical analysis was undertaken using a paired Student t test, for intra-comparison of hourly time points versus baseline, and an unpaired Student t test for inter-comparisons.
Since many variables may contribute to the outcome (dependent variable), further statistical analysis can be achieved with multiple regression analysis.
Each article is analyzed using the following criteria: study objectives, data sources, outcome variables, primary predictor variables, confounders, statistical analysis, results, established knowledge, and shortcomings.
Maternal breastfeeding self-efficacy The key outcome variable for statistical analysis is duration of breastfeeding.
Each subordinate item in Questions #8, 10, 14 and 16 was treated as a binary variable for statistical analysis.
This corrected optical density value (optical density minus average negative control) was used as the continuous outcome variable for statistical analysis.
