When failure times are observed, additional information concerning the type of failure is often recorded. A method which simultaneously models the failure times and additional information in the form of ordinal categories is discussed. An application to clinical trial data, in which the failure times are times of onset of headache, and the headaches are classified into the ordinal categories mild, moderate and severe, illustrates how this method may be used and how the final model can be interpreted. The continuation ratio model, which is used in this method, is described in detail
This research is concerned with modeling the vital sign data that are present in many electronic hea...
Event history studies based on disease clinic data often face several complications. Specifically, p...
When repeated failure times are collected from a large number of indepen-dent individuals, interest ...
Abstract: In many areas of pharmaceutical research, thpxe has been increasing use of categorical dat...
Introduction Most methods for analyzing failure time or event history data are based on time as a c...
This book focuses on statistical methods for the analysis of discrete failure times. Failure time an...
In clinical trials and other follow-up studies, it is natural that a response variable is repeatedly...
The paper is concerned with the analysis of regression effects when individual study subjects may ex...
Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...
Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...
An ordinal outcome is one which comprises a range of categories that are inherently ordered in some ...
In clinical trials and other follow-up studies, it is natural that a response variable is repeatedly...
This paper provides a conceptual, empirical, and practical guide for estimating ordinal reliability ...
In longitudinal studies with a set of continuous or ordinal repeated response variables it may be co...
We present an approach for analysing internal dependencies in counting processes. This covers the ca...
This research is concerned with modeling the vital sign data that are present in many electronic hea...
Event history studies based on disease clinic data often face several complications. Specifically, p...
When repeated failure times are collected from a large number of indepen-dent individuals, interest ...
Abstract: In many areas of pharmaceutical research, thpxe has been increasing use of categorical dat...
Introduction Most methods for analyzing failure time or event history data are based on time as a c...
This book focuses on statistical methods for the analysis of discrete failure times. Failure time an...
In clinical trials and other follow-up studies, it is natural that a response variable is repeatedly...
The paper is concerned with the analysis of regression effects when individual study subjects may ex...
Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...
Ordinal variables are very often objects of study in health sciences. However, due to the lack of di...
An ordinal outcome is one which comprises a range of categories that are inherently ordered in some ...
In clinical trials and other follow-up studies, it is natural that a response variable is repeatedly...
This paper provides a conceptual, empirical, and practical guide for estimating ordinal reliability ...
In longitudinal studies with a set of continuous or ordinal repeated response variables it may be co...
We present an approach for analysing internal dependencies in counting processes. This covers the ca...
This research is concerned with modeling the vital sign data that are present in many electronic hea...
Event history studies based on disease clinic data often face several complications. Specifically, p...
When repeated failure times are collected from a large number of indepen-dent individuals, interest ...