Multi-state models for event history analysis
From MaRDI portal
Publication:5424136
DOI10.1191/0962280202SM276razbMath1121.62568WikidataQ34663145 ScholiaQ34663145MaRDI QIDQ5424136
Per Kragh Andersen, Niels Keiding
Publication date: 2 November 2007
Published in: Statistical Methods in Medical Research (Search for Journal in Brave)
Related Items
A semi-parametric approach to analysis of event duration and prevalence, Multistate Models, Flowgraph Models, and Semi-Markov Processes, Estimating and comparing cancer progression risks under varying surveillance protocols, A comparison of presmoothing methods in the estimation of transition probabilities, Nonparametric estimation for cumulative duration of adverse events, Testing Markovianity in the three-state progressive model via future-past association, Inference for outcome probabilities in multi-state models, A semi-Markov multistate model for estimation of the mean quality-adjusted survival for non-progressive processes, Current status observation of a three-state counting process with application to simultaneous accurate and diluted HIV test data, Correction of Survival Bias in a Study About Increased Mortality of Heads of Government, A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data, Non‐parametric regression in clustered multistate current status data with informative cluster size, Functional modeling of recurrent events on time‐to‐event processes, Regression analysis of mixed panel count data with dependent observation processes, Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with covid-19, Unnamed Item, A general piecewise multi-state survival model: application to breast cancer, Application of multistate models in hospital epidemiology: Advances and challenges, A Finite‐State Continuous‐Time Approach for Inferring Regional Migration and Mortality Rates from Archival Tagging and Conventional Tag‐Recovery Experiments, Marginal structural models for partial exposure regimes, Time-dependent covariates in the proportional subdistribution hazards model for competing risks, Prediction of risks of sequence of events using multistage proportional hazards model: a marginal-conditional modelling approach, The \(k\)-sample problem in a multi-state model and testing transition probability matrices, Joint modeling approach for semicompeting risks data with missing nonterminal event status, Saddlepoint approximation for semi-Markov processes with application to a cardiovascular randomised study, Compartmental model diagrams as causal representations in relation to DAGs, Methods for checking the Markov condition in multi-state survival data, Estimation of covariate-dependent Markov transition probabilities from nested case-control data, Competing risks as a multi-state model, Regression Analysis for Multistate Models Based on a Pseudo‐value Approach, with Applications to Bone Marrow Transplantation Studies, A Censored Data Histogram, Dealing with death when studying disease or physiological marker: the stochastic system approach to causality, Estimating summary functionals in multistate models with an application to hospital infection data, Multiple imputation for estimating the risk of developing dementia and its impact on survival, A joint model of cancer incidence, metastasis, and mortality, Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored data, Unnamed Item, Nonparametric estimation of transition probabilities in a non-Markov illness-death model, Maximum likelihood estimation for a special exponential family under random double-truncation, Asymptotic inference for maximum likelihood estimators under the special exponential family with double-truncation, Bayesian path specific frailty models for multi-state survival data with applications, Non-parametric inference of transition probabilities based on Aalen-Johansen integral estimators for acyclic multi-state models: application to LTC insurance, Comparisons of multistate models with discrete-time pure-birth process for recurrent events and uncertain parameters, An algorithm for estimating survival under a copula-based dependent truncation model, Transition probability estimates for non-Markov multi-state models, Neyman, Markov processes and survival analysis, Flexible hazard ratio curves for continuous predictors in multi-state models, Modelling of overall survival by an association between progression-free and post-progression survival using a conditional distribution, Landmark estimation of transition probabilities in non-Markov multi-state models with covariates, A dual frailty model for lifetime analysis in maritime transportation, Bayesian variable selection and shrinkage strategies in a complicated modelling setting with missing data: A case study using multistate models, Estimation and interpretation of heterogeneous vaccine efficacy against recurrent infections, Neyman, Markov Processes and Survival Analysis, Survival analysis in supply chains using statistical flowgraph models: Predicting time to supply chain disruption, Comparison of Selected Methods for Modeling of Multi-State Disease Progression Processes: A Simulation Study, A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models, Endpoints and survival analysis for successful osseointegration of dental implants, A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks, Inference for transition probabilities in non-Markov multi-state models, Estimation with right-censored observations under a semi-Markov model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimation from current-status data in continuous time
- Nonparametric inference for a family of counting processes
- Multi-state models: A review
- Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators of integrated transition hazards for non-Markov models
- Multi-state models in epidemiology
- Random truncation models and Markov processes
- Sampling Bias in Population Studies-How to Use the Lexis Diagram
- Empirical Bayes Age-Period-Cohort Analysis of Retrospective Incidence Data
- Life insurance for insulin-dependent diabetics
- Covariate Adjustment of Event Histories Estimated from Markov Chains: The Additive Approach
- A Markov Model for Analysing Cancer Markers and Disease States in Survival Studies
- Partial likelihood
- A Review and Critique of Some Models Used in Competing Risk Analysis
- The Analysis of Failure Times in the Presence of Competing Risks
- Additive hazards regression with current status data
- A Joint Model for Survival and Longitudinal Data Measured with Error
- A Penalized Likelihood Approach for a Progressive Three‐State Model with Censored and Truncated Data: Application to AIDS
- Age-Specific Incidence and Prevalence: A Statistical Perspective
- A Three-State Multiplicative Model for Rodent Tumorigenicity Experiments
- Semiparametric Estimation in a Three-State Duration-Dependent Markov Model from Interval-Censored Observations with Application to AIDS Data
- Multi-state models for bone marrow transplantation studies
- Analysis of repeated events
- Inference for multi-state models from interval-censored data
- Estimation of covariate-dependent Markov transition probabilities from nested case-control data
- Competing risks as a multi-state model
- Joint modelling of longitudinal measurements and event time data