Add to ORKGAn efficient algorithm is derived for generating systems of correlated binary data. The procedure allows for the specification of all pairwise correlations within each system. Intercorrelations between systems can be specified qualitatively.The procedure requires the simultaneous solution of a system of equations for obtaining the threshold probabilities to generate each system of binary data. A numerical example is provided to demonstrate that the procedure generates correlated binary variables that yield correlations in close agreement with the specified population correlations
A new efficient technique to impose the statistical correlation when using Monte Carlo type method f...
Correlated binary data are prevalent in a wide range of scientific disciplines, including healthcare...
Generating correlated Poisson random variables is fundamental in many applications in the management...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
Ordinal variables appear in many field of statistical research. Since working with simulated data is...
We consider the problem of defining a multivariate distribution of binary variables, with given firs...
Includes bibliographical references (pages [50])Correlated binary data occur when measurements of tw...
In simulation we often have to generate correlated random variables by giving a reference intercorre...
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as ...
Abstract. The paper is devoted to the problem of generating sequences of binary vectors having joint...
A modification of the Kaiser and Dichman (1962) procedure of generating multivariate random numbers ...
A bivariate binary observation is traditionally classified into one of the two possible groups under...
The analysis of longitudinally correlated binary data has attracted considerable attention of late. ...
In this paper the authors propose a method which will allow the generation of random discrete variab...
The ability to simulate correlated binary data is important for sample size calculation and comparis...
A new efficient technique to impose the statistical correlation when using Monte Carlo type method f...
Correlated binary data are prevalent in a wide range of scientific disciplines, including healthcare...
Generating correlated Poisson random variables is fundamental in many applications in the management...
An efficient algorithm is derived for generating systems of correlated binary data. The procedure al...
Ordinal variables appear in many field of statistical research. Since working with simulated data is...
We consider the problem of defining a multivariate distribution of binary variables, with given firs...
Includes bibliographical references (pages [50])Correlated binary data occur when measurements of tw...
In simulation we often have to generate correlated random variables by giving a reference intercorre...
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as ...
Abstract. The paper is devoted to the problem of generating sequences of binary vectors having joint...
A modification of the Kaiser and Dichman (1962) procedure of generating multivariate random numbers ...
A bivariate binary observation is traditionally classified into one of the two possible groups under...
The analysis of longitudinally correlated binary data has attracted considerable attention of late. ...
In this paper the authors propose a method which will allow the generation of random discrete variab...
The ability to simulate correlated binary data is important for sample size calculation and comparis...
A new efficient technique to impose the statistical correlation when using Monte Carlo type method f...
Correlated binary data are prevalent in a wide range of scientific disciplines, including healthcare...
Generating correlated Poisson random variables is fundamental in many applications in the management...