The continuation ratio model is a direct generalisation of the more familiar binary logistic model. In this paper, it is proposed to model ordinal recurrent events by generalising the logistic-normal model for binary recurrent events in a similar manner. This new model is implemented in the statistical software package SABRE
Regression models for ordinal response variables are available since the late 1980s, and many statis...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
International audienceThis paper considers statistical inference for the rate function of a recurren...
In the Cox Regression model, the outcome under study is the time to a single event, for example deat...
An ordinal outcome is one which comprises a range of categories that are inherently ordered in some ...
International audienceDiscrete survival times can be considered as ordered multicategorical data. In...
International audienceDiscrete survival times can be considered as ordered multicategorical data. In...
Azzalini (1994) proposed a first order Markov chain for binary data. Azzalini’s model is extended fo...
<p>A Bayesian inferential approach with a noninformative prior is introduced to analyze ordinal repe...
Analisis regresi merupakan bagian dari analisis statistika yang digunakan untuk mengetahui dan mempe...
International audienceDiscrete survival times can be viewed as ordered multicategorical data. Here a...
Responses made on scales with ordered categories (ordinal responses) can be analysed using multinomi...
The trend-renewal model for recurrent time-to-event data is seldom used outside of the reliability l...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
Regression models for ordinal response variables are available since the late 1980s, and many statis...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
International audienceThis paper considers statistical inference for the rate function of a recurren...
In the Cox Regression model, the outcome under study is the time to a single event, for example deat...
An ordinal outcome is one which comprises a range of categories that are inherently ordered in some ...
International audienceDiscrete survival times can be considered as ordered multicategorical data. In...
International audienceDiscrete survival times can be considered as ordered multicategorical data. In...
Azzalini (1994) proposed a first order Markov chain for binary data. Azzalini’s model is extended fo...
<p>A Bayesian inferential approach with a noninformative prior is introduced to analyze ordinal repe...
Analisis regresi merupakan bagian dari analisis statistika yang digunakan untuk mengetahui dan mempe...
International audienceDiscrete survival times can be viewed as ordered multicategorical data. Here a...
Responses made on scales with ordered categories (ordinal responses) can be analysed using multinomi...
The trend-renewal model for recurrent time-to-event data is seldom used outside of the reliability l...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
Regression models for ordinal response variables are available since the late 1980s, and many statis...
There are different types of continuation ratio (CR) models for ordinal response variables. The diff...
International audienceThis paper considers statistical inference for the rate function of a recurren...