For a two–way contingency table with categorical variables, local odds ratios are commonly used to describe the relationships between the row and column variables. The ordinary case has mutually exclusive cell counts, i.e., each subject must fit into one and only one cell. However, in many surveys respondents may select more than one outcome category. We discuss the maximum likelihood and Mantel– Haenszel estimators of an assumed common local odds ratio for several 2 x c tables, treating the multiple responses as an extension of the multinomial sampling model. We derive new dually consistent (co)variance estimators for the Mantel–Haenszel local odds ratio estimators and show their performance in a simulation study
The functioning of two population-based Mantel-Haenszel (MH) common-odds ratios was compared. One ra...
This paper examines the tests of homogeneity ofodds ratios in in dependent experiments. Breslow and ...
There is a great deal of literature on modeling (separately) either the univariate or joint distribu...
For a two-way contingency table, odds ratios are commonly used to describe the relationships between...
The properties of four commonly used estimators of the odds ratio are studied under a large-sample s...
The Mantel-Haenszel problem involves inferences about a common odds ratio in a set of 2 x 2 tables. ...
Several statistical methods have been developed for adjusting the Odds Ratio of the relation between...
In contingency table analysis, the odds ratio is a commonly applied measure used to summarize the de...
Several statistical methods have been developed for adjusting the Odds Ratio of the relation between...
Missing observations often occur in cross-classified data collected during observational, clinical, ...
Surveys often contain qualitative variables for which respondents may select any number of the outco...
For cases in which a parameter may be estimated from several independent data sets, Mather (1935) pr...
Several statistical methods have been developed for adjusting the Odds Ratio of the relation between...
This thesis contains an investigation of the effects of categorical data clustering on three estimat...
Surveys often contain qualitative variables for which respondents may select any number of the outco...
The functioning of two population-based Mantel-Haenszel (MH) common-odds ratios was compared. One ra...
This paper examines the tests of homogeneity ofodds ratios in in dependent experiments. Breslow and ...
There is a great deal of literature on modeling (separately) either the univariate or joint distribu...
For a two-way contingency table, odds ratios are commonly used to describe the relationships between...
The properties of four commonly used estimators of the odds ratio are studied under a large-sample s...
The Mantel-Haenszel problem involves inferences about a common odds ratio in a set of 2 x 2 tables. ...
Several statistical methods have been developed for adjusting the Odds Ratio of the relation between...
In contingency table analysis, the odds ratio is a commonly applied measure used to summarize the de...
Several statistical methods have been developed for adjusting the Odds Ratio of the relation between...
Missing observations often occur in cross-classified data collected during observational, clinical, ...
Surveys often contain qualitative variables for which respondents may select any number of the outco...
For cases in which a parameter may be estimated from several independent data sets, Mather (1935) pr...
Several statistical methods have been developed for adjusting the Odds Ratio of the relation between...
This thesis contains an investigation of the effects of categorical data clustering on three estimat...
Surveys often contain qualitative variables for which respondents may select any number of the outco...
The functioning of two population-based Mantel-Haenszel (MH) common-odds ratios was compared. One ra...
This paper examines the tests of homogeneity ofodds ratios in in dependent experiments. Breslow and ...
There is a great deal of literature on modeling (separately) either the univariate or joint distribu...