Informative presence and observation in routine health data: a review of methodology for clinical risk prediction

R Sisk, L Lin, M Sperrin, JK Barrett… - Journal of the …, 2021 - academic.oup.com
Objective Informative presence (IP) is the phenomenon whereby the presence or absence of
patient data is potentially informative with respect to their health condition, with informative …

Systematic review of methods used in prediction models with recurrent event data

V Watson, CT Smith, LJ Bonnett - Diagnostic and Prognostic Research, 2024 - Springer
Background Patients who suffer from chronic conditions or diseases are susceptible to
experiencing repeated events of the same type (eg seizures), termed 'recurrent events' …

Determination of correlations in multivariate count data with informative observation times

CH Huang - Statistical Methods in Medical Research, 2024 - journals.sagepub.com
We consider there are various types of recurrent events and the total number of occurrences
are collected at the random observation times. It has concerned that the observation process …

On Dependent Processes in Bayesian Nonparametrics: Theory, Methods, and Applications

B Franzolini - 2022 - iris.unibocconi.it
The main topics of the thesis are dependent processes and their uses in Bayesian
nonparametric statistics. With the term dependent processes, we refer to two or more infinite …

Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data

C Wang, X Lin - Stats, 2022 - mdpi.com
Panel count data often occur in a long-term recurrent event study, where the exact
occurrence time of the recurrent events is unknown, but only the occurrence count between …