Statistical methods for categorical data, such as loglinear models and logistic regression, represent discrete analogs of the analysis of variance and regression methods for continuous response variables. However. while graphical display techniques are common adjuncts to analysis of variance and regression, methods for plotting contingency table data are not as widely used. This paper provides ...

Statistical methods for categorical data. such as loglinear models and logistic regression, represent discrete analogs of the analysis of variance and regression methods for 'ontinuous response variables. However. while graphical display techniques are common adjuncts to analysis of ~~-variance and regression. methods for plotting contingency table data are not as widely used. This paper provid...

Objectives: The aims of this study were to design a best fit linear regression model to estimate VO2max (estimated VO2) and to compare the ability of VO2 values (measured and estimated) predicting cardiorespiratory complications in a series of patients undergoing lung resection for lung cancer. Method: This was a prospective, observational study performed in 83 patients. Variables analyzed were...

OBJECTIVES The aims of this study were to design a best fit linear regression model to estimate VO2max (estimated VO2) and to compare the ability of VO2 values (measured and estimated) predicting cardiorespiratory complications in a series of patients undergoing lung resection for lung cancer. METHOD This was a prospective, observational study performed in 83 patients. Variables analyzed were...

This report gives a comprehensive explanation of the multivariate technique called correspondence analysis, applied in the context of a large survey of a nation's state of health, in this case the Spanish National Health Survey. It is first shown how correspondence analysis can be used to interpret a simple cross-tabulation by visualizing the table in the form of a map of points representing th...

The definition of geostatistical domains is a stage in the estimation mineral resources, which sample resulting from mining exploration process divided into zones that show homogeneity or minimal variation main element interest grade, having geological and spatial meaning. Its importance lies fact quality techniques, therefore, correct quantification resource, will improve geostatistically stat...

Present-day healthcare witnesses a growing demand for coordination of patient care. Coordination is needed especially in those cases in which hospitals have structured healthcare into specialty-oriented units, while a substantial portion of patient care is not limited to single units. From a logistic point of view, this multi-disciplinary patient care creates a tension between controlling the h...

ABSTRACT A common application in the health care industry is to investigate the association between a response variable interest that has dichotomous outcome such as having or not having a certain disease with one or more variables. This type of study can be analyzed by using the FREQ procedure if there are only one or two explanatory categorical variables. A more general approach to study a bi...

The paper considers the problem of modelling association between two exposure variables in a matched case-control study, where both the exposures may be partially missing. The exposure variables could all be categorical or continuous or could be a mixed set of some categorical and some continuous variables. Association models for the missing exposure variables using the completely observed cova...

We present a nonparametric Bayesian joint model for multivariate continuous and categorical variables, with the intention of developing a flexible engine for multiple imputation of missing values. The model fuses Dirichlet process mixtures of multinomial distributions for categorical variables with Dirichlet process mixtures of multivariate normal distributions for continuous variables. We inco...