Quantifying association in ordinal data
نویسندگان
چکیده
منابع مشابه
Quantifying association in ordinal data.
What is non-parametric correlation? A non-parametric (or ordinal) correlation coefficient for two variables quantifies the extent to which there is, in the study sample, a consistent relationship between the values for the two variables. The correlation coefficient indexes the strength of the relationship found, from zero (no discernible relationship) to a maximum value of 1 (denoting a perfect...
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About 25 years ago, McCullagh proposed a method for modeling univariate ordinal responses. After publishing this paper, other statisticians gradually extended his method, such that we are now able to use more complicated but efficient methods to analyze correlated multivariate ordinal data, and model the relationship between these responses and host of covariates. In this paper, we aim to...
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Care 2007; 33: 177–182. 14 National Chlamydia Screening Steering Group (NCSSG). First Steps: Annual Report of the National Chlamydia Screening Programme in England, 2003/2004. London, UK: Department of Health, 2004. 15 National Chlamydia Screening Steering Group (NCSSG). Looking Back, Moving Forward: Annual Report for the National Chlamydia Screening Programme in England, 2004/05. London, UK: D...
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Cleansing data of errors is an important processing step particularly when integrating heterogeneous data sources. Dirty data files are prevalent in data warehouses because of incorrect or missing data values, inconsistent attribute naming conventions or incomplete information. This paper improves the data cleansing ordinal association rules technique by proposing a solution for the missing val...
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Zhen Shen [email protected] Ph.D Candidate, CFINS, Department of Automation, TNLIST, Tsinghua University, Beijing 100084, People’s Republic of China Qian-Chuan Zhao [email protected] Professor, CFINS, Department of Automation, TNLIST, Tsinghua University, Beijing 100084, People’s Republic of China Qing-Shan Jia [email protected] Lecturer, CFINS, Department of Automation,...
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ژورنال
عنوان ژورنال: Journal of Family Planning and Reproductive Health Care
سال: 2010
ISSN: 1471-1893
DOI: 10.1783/147118910791069187