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A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/sim.4780090506openalex-snapshot
Relative survival and the estimation of net survival: Elements for further discussion
inferredcites →https://doi.org/10.1002/sim.6881openalex-snapshot
A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non‐linear and non‐proportional effects of covariates
inferredcites →https://doi.org/10.1002/sim.7071openalex-snapshot
A flexible parametric approach to examining spatial variation in relative survival
inferredcites →https://doi.org/10.1007/s11222-013-9448-7openalex-snapshot
Shape constrained additive models
inferredcites →https://doi.org/10.1016/j.ejca.2004.07.002openalex-snapshot
Standard cancer patient population for age standardising survival ratios
inferredcites →https://doi.org/10.1016/s0140-6736(13)62225-4openalex-snapshot
Cancer survival: global surveillance will stimulate health policy and improve equity
inferredcites →https://doi.org/10.1016/s0140-6736(14)61396-9openalex-snapshot
40-year trends in an index of survival for all cancers combined and survival adjusted for age and sex for each cancer in England and Wales, 1971–2011: a population-based study
inferredcites →https://doi.org/10.1080/01621459.2016.1180986openalex-snapshot
Smoothing Parameter and Model Selection for General Smooth Models
inferredcites →https://doi.org/10.1080/01621459.2019.1593178openalex-snapshot
Copula Link-Based Additive Models for Right-Censored Event Time Data
inferredcites →https://doi.org/10.1093/biostatistics/kxl036openalex-snapshot
Generalized monotonic regression based on B-splines with an application to air pollution data
inferredcites →https://doi.org/10.1093/biostatistics/kxn021openalex-snapshot
An approach to estimation in relative survival regression
inferredcites →https://doi.org/10.1093/biostatistics/kxy008openalex-snapshot
Using pseudo-observations for estimation in relative survival
inferredcites →https://doi.org/10.1093/biostatistics/kxz017openalex-snapshot
On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables
inferredcites →https://doi.org/10.1111/j.1541-0420.2011.01640.xopenalex-snapshot
On Estimation in Relative Survival
inferredcites →https://doi.org/10.1111/j.2517-6161.1972.tb00899.xopenalex-snapshot
Regression Models and Life-Tables
inferredcites →https://doi.org/10.1111/rssc.12368openalex-snapshot
Multi-Dimensional Penalized Hazard Model with Continuous Covariates: Applications for Studying Trends and Social Inequalities in Cancer Survival
inferredcites →https://doi.org/10.1136/bmj.k764openalex-snapshot
Impact of national cancer policies on cancer survival trends and socioeconomic inequalities in England, 1996-2013: population based study
inferredcites →https://doi.org/10.1177/0962280216664760openalex-snapshot
Parametric and penalized generalized survival models
inferredcites →https://doi.org/10.1177/0962280218782293openalex-snapshot
On a general structure for hazard-based regression models: An application to population-based cancer research
inferredcites →https://doi.org/10.1177/0962280219874094openalex-snapshot
Flexible Bayesian excess hazard models using low-rank thin plate splines
inferredcites →https://doi.org/10.1177/1536867x0900900206openalex-snapshot
Further Development of Flexible Parametric Models for Survival Analysis
inferredcites →https://doi.org/10.1186/s12874-019-0830-9openalex-snapshot
Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology
inferredcites →https://doi.org/10.1186/s12885-016-2967-9openalex-snapshot
Analysing population-based cancer survival – settling the controversies
inferredcites →https://doi.org/10.1186/s12889-015-2534-3openalex-snapshot
Multivariable flexible modelling for estimating complete, smoothed life tables for sub-national populations
inferredcites →https://doi.org/10.1214/ss/1177010394openalex-snapshot
A Conversation with Sir David Cox
inferredcites →https://doi.org/10.2147/clep.s173523openalex-snapshot
Summarizing and communicating on survival data according to the audience: a tutorial on different measures illustrated with population-based cancer registry data
inferredcites →https://doi.org/10.2307/1403683openalex-snapshot
On Inference in Parametric Survival Data Models
inferredcites →https://doi.org/10.32614/cran.package.gjrmopenalex-snapshot
GJRM: Generalised Joint Regression Modelling
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/bimj.202300006openalex-snapshot
On near‐redundancy and identifiability of parametric hazard regression models under censoring
inferred← citeshttps://doi.org/10.1002/sim.9657openalex-snapshot
Individual frailty excess hazard models in cancer epidemiology
inferred← citeshttps://doi.org/10.1007/978-3-031-97281-2_2openalex-snapshot
A Trivariate Copula Model with Endogenous Predictor Variable to Estimate Determinants of Zero-Dose and Under-Immunized Children in Angola and Ethiopia Using Survey Data
inferred← citeshttps://doi.org/10.1016/j.canep.2024.102576openalex-snapshot
An index of cancer survival to measure progress in cancer control: A tutorial
inferred← citeshttps://doi.org/10.1016/j.canep.2026.103154openalex-snapshot
Can we develop prognostic models for estimating life expectancy following a cancer diagnosis? Evaluating model complexity, data requirements, and optimal modelling frameworks
inferred← citeshttps://doi.org/10.1016/j.csda.2022.107550openalex-snapshot
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme
inferred← citeshttps://doi.org/10.1080/01621459.2025.2547968openalex-snapshot
Understanding Inequalities in Cancer Survival Using Bayesian Machine Learning
inferred← citeshttps://doi.org/10.1093/genetics/iyae086openalex-snapshot
How group structure impacts the numbers at risk for coronary artery disease: polygenic risk scores and nongenetic risk factors in the UK Biobank cohort
inferred← citeshttps://doi.org/10.1177/09622802241233767openalex-snapshot
Extended excess hazard models for spatially dependent survival data
inferred← citeshttps://doi.org/10.1177/09622802241268504openalex-snapshot
Dynamic survival analysis: Modelling the hazard function via ordinary differential equations
inferred← citeshttps://doi.org/10.1177/09622802251411540openalex-snapshot
Monitoring time to event in registry data using CUSUMs based on relative survival models
inferred← citeshttps://doi.org/10.1177/09622802251412840openalex-snapshot
Hazard-based distributional regression via ordinary differential equations
inferred← citeshttps://doi.org/10.1177/1471082x231176120openalex-snapshot
A spline-based framework for the flexible modelling of continuously observed multistate survival processes
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