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Chi-squared testing was used to analyze data for all questions that fewer than 50% of participants answered correctly.
In the pilot study, missing data for all questions ranged from 0 to 7%, and the last 5 questions had 4% missing data.
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There was no significant difference in demographic characteristics of participants who did not want to be transplanted and did not respond to any of the questions asked (those with missing data for all perceived barrier questions) and those who responded to at least one of the questions except by income status (P = 0.0435.
Individuals who answered "don't know", refused to answer, or were missing data for a question had their response excluded in the analysis of that question.
The data was analyzed for all questions estimating frequencies, percentages, means and standard deviations, where applicable.
Phenotypic data for all genes in question can be accessed at the Prophecy database [ 40].
Of the remaining 12,381 participants, 882 (7.1 %) were excluded due to missing data for IPV questions, financial stressors, or other covariates, resulting in a sample size of 11,499.
The Michigan studies did not publish data for individual questions.
There were 2 missing data for these questions.
aDenominator varies due to missing data for some questions.
Note: Number of providers differs by barrier due to nonresponse or missing data for these questions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com