Transcription of Stata: Bivariate Statistics
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Stata: Bivariate Statistics
Page 1 of 8 Stata: Bivariate Statistics Topics: Chi-square test, t-test, Pearson s R correlation coefficient - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - There are three situations during survey data analysis in which Bivariate Statistics are commonly used. 1. Compare two groups First, Bivariate Statistics are used to compare two study groups to see if they are similar. For example, to compare two groups at baseline before an intervention is implemented, or to compare participants who are lost to follow up to those who remained in the study. When comparing groups, we want to provide strong evidence of any group differences, so we use a conservative threshold of p< to determine statistical significance.
First, bivariate statistics are used to compare two study groups to see if they are similar. For example, to compare two groups at baseline before an ... not part of the normal Stata package, we have to manually specify all aspects of the sample design including pweight(), psu(), and …
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