Misclassification probability densities for the a. miscoded observations and b. correctly coded observations.</p
Bayesian methods are proposed for analysing matched case–control studies in which a binary exposure ...
Tesis doctoral con la Mención de "Doctor Internacional"Esta tesis tiene como objetivo estudiar dos t...
We consider Bayesian inference about the mean of a binary variable that is subject to misclassificat...
Ordinal categorical responses are frequently collected in survey studies, human medicine, and animal...
This paper considers estimation of success probabilities of categorical binary data subject to miscl...
In epidemiological studies, observed data are often collected subject to misclassification errors. I...
A two‐stage Bayesian method is presented for analyzing case–control studies in which a binary variab...
Researchers often analyze data assuming models with constrained parameters. Order constrained parame...
Summary. Motivated by a study of human papillomavirus infection in women, we present a Bayesian bino...
Survey data are often subject to various types of errors such as misclassification. In this article,...
We address the classification problem where an item is declared to be from population[pi]jif certain...
Estimation of models for transitions between a set of states could be severely biased if units are i...
We consider several statistical approaches to binary classification and multiple hypothesis testing ...
Three Bayesian approaches are considered for the selection of binomial proportion parameters when da...
We consider several statistical approaches to binary classification and multiple hypothesis testing ...
Bayesian methods are proposed for analysing matched case–control studies in which a binary exposure ...
Tesis doctoral con la Mención de "Doctor Internacional"Esta tesis tiene como objetivo estudiar dos t...
We consider Bayesian inference about the mean of a binary variable that is subject to misclassificat...
Ordinal categorical responses are frequently collected in survey studies, human medicine, and animal...
This paper considers estimation of success probabilities of categorical binary data subject to miscl...
In epidemiological studies, observed data are often collected subject to misclassification errors. I...
A two‐stage Bayesian method is presented for analyzing case–control studies in which a binary variab...
Researchers often analyze data assuming models with constrained parameters. Order constrained parame...
Summary. Motivated by a study of human papillomavirus infection in women, we present a Bayesian bino...
Survey data are often subject to various types of errors such as misclassification. In this article,...
We address the classification problem where an item is declared to be from population[pi]jif certain...
Estimation of models for transitions between a set of states could be severely biased if units are i...
We consider several statistical approaches to binary classification and multiple hypothesis testing ...
Three Bayesian approaches are considered for the selection of binomial proportion parameters when da...
We consider several statistical approaches to binary classification and multiple hypothesis testing ...
Bayesian methods are proposed for analysing matched case–control studies in which a binary exposure ...
Tesis doctoral con la Mención de "Doctor Internacional"Esta tesis tiene como objetivo estudiar dos t...
We consider Bayesian inference about the mean of a binary variable that is subject to misclassificat...
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