Unpaired Qualitative Data Sets

Potter C. Chang
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Potter C. Chang: University of California at Los Angeles, Department of Biostatistics, School of Public Health

Chapter Chapter 6 in Data Analysis of Medical Studies, 2025, pp 179-242 from Springer

Abstract: Abstract Observations pertaining to occurrences of events are important in medical research. They are qualitative and are analyzed to assess the likelihoods of events. This chapter demonstrates that revelations of a set of qualitative observations are clearly manifested by percentages of observations belonging to categories that comprise the distribution of the data set. Revelation of unpaired qualitative data sets is clearly manifested by the respective distributions of the data sets.

Keywords: Incidence rate; Person-time incidence rate; Rate difference; Rate ratio; Hazard ratio; Relative risk; Subgroup analysis; Adjustment; Kaplan-Meier estimate; Cox proportional hazards model (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-49984-5_6

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DOI: 10.1007/978-3-031-49984-5_6

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