Score tests based on a finite mixture model of Markov processes under intermittent observation
From MaRDI portal
Publication:6624669
DOI10.1002/SIM.8155zbMATH Open1545.6237MaRDI QIDQ6624669
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates
- Variable selection and prediction in biased samples with censored outcomes
- Maximum Likelihood Estimation in the Mover-Stayer Model
- A Conditional Markov Model for Clustered Progressive Multistate Processes under Incomplete Observation
- A semiparametric regression cure model with current status data
- The Analysis of Panel Data Under a Markov Assumption
- A model for a binary variable with time-censored observations
- Score tests for zero inflation in generalized linear models
- Estimating the Extent of Tracking in Interval‐Censored Chain‐Of‐Events Data
- Estimation in a Cox Proportional Hazards Cure Model
- Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up
- A Score Test for Zero Inflation in a Poisson Distribution
- Zero-Inflated Negative Binomial Mixed Regression Modeling of Over-Dispersed Count Data with Extra Zeros
- A generalized mover-stayer model for panel data
- A mixture model combining logistic regression with proportional hazards regression
Related Items (2)
The polytomous discrimination index for prediction involving multistate processes under intermittent observation ⋮ Estimation in a general mixture of Markov jump processes
This page was built for publication: Score tests based on a finite mixture model of Markov processes under intermittent observation
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6624669)
