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Thematic – Text analysis for surveys and reviews.
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Content analysis for qualitative information and descriptive analysis for survey data were used to draw conclusions.
We assessed the impact of the year using logistic regression analysis for survey sampling and global Wald test.
The focus of this study was to evaluate the potential of short read sequencing (SRS) in combination with mathematically defined repeat (MDR) analysis for surveying and draft annotating repetitive DNA in the large and complex barley genome.
For survival analyses, data from the respective follow-up periods was analyzed individually followed by pooled analysis for the surveys without treatment (i.e. surveys 1, 3 and 4).
The sensitivity analysis controlling for survey year dummy variables did not alter the main analysis results.
In this study, using individual-physician data as the unit of analysis for the survey, the items were intercorrelated using Pearson product moment correlations.
The primary unit of analysis for the survey was the ED.
NMS was a team member of the project and joined in the design and data analysis for the survey.
DVD was the team leader for the project in his faculty and led the design and data analysis for the survey, contributed to the statistical analysis.
Notes: Descriptive data unweighted; Simple logistic regression p-values generated using weighted data with statistical analysis for complex survey design Note: Two-sample t-tests and Mann-Whitney U-statistics were used to compare central tendencies of cases versus controls, and chi-square and Fisher's exact tests (when applicable) were used to compare proportions of cases versus controls.
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