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Analyzing bivariate continuous data that have been grouped into categories defined by sample quantiles of the marginal distributions
Borkowf, Craig B.; Gail, Mitchell H.; Carroll, Raymond J.; … - 1997
Epidemiologists sometimes study the association between two measures of exposure on the same subjects by grouping the data into categories that are defined by sample quantiles of the two marginal distributions. Although such grouped data are presented in a twoway contingency table, the cell...
Persistent link: https://www.econbiz.de/10009631746
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Analyzing bivariate continuous data that have been grouped into categories defined by sample quantiles of the marginal distributions
Borkowf, Craig B.; Gail, Mitchell H.; Carroll, Raymond J.; … - Sonderforschungsbereich 373, Quantifikation und … - 1997
Epidemiologists sometimes study the association between two measures of exposure on the same subjects by grouping the data into categories that are defined by sample quantiles of the two marginal distributions. Although such grouped data are presented in a twoway contingency table, the cell...
Persistent link: https://www.econbiz.de/10010956598
Cover Image
Analyzing bivariate continuous data that have been grouped into categories defined by sample quantiles of the marginal distributions
Borkowf, Craig B.; Gail, Mitchell H.; Carroll, Raymond J.; … - 1997
Epidemiologists sometimes study the association between two measures of exposure on the same subjects by grouping the data into categories that are defined by sample quantiles of the two marginal distributions. Although such grouped data are presented in a twoway contingency table, the cell...
Persistent link: https://www.econbiz.de/10010310784