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Estimating net survival: the importance of allowing for informative censoring

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118032985openalex-snapshot
The Statistical Analysis of Failure Time Data
inferredcites →https://doi.org/10.1002/bimj.200610328openalex-snapshot
A New Proposal for Multivariable Modelling of Time‐Varying Effects in Survival Data Based on Fractional Polynomial Time‐Transformation
inferredcites →https://doi.org/10.1002/sim.1484openalex-snapshot
A relative survival regression model using B‐spline functions to model non‐proportional hazards
inferredcites →https://doi.org/10.1002/sim.2392openalex-snapshot
Comparison of Cox's and relative survival models when estimating the effects of prognostic factors on disease‐specific mortality: a simulation study under proportional excess hazards
inferredcites →https://doi.org/10.1002/sim.2399openalex-snapshot
Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time‐dependent effects
inferredcites →https://doi.org/10.1002/sim.2414openalex-snapshot
Goodness of fit of relative survival models
inferredcites →https://doi.org/10.1002/sim.2519openalex-snapshot
Joint estimation of time‐dependent and non‐linear effects of continuous covariates on survival
inferredcites →https://doi.org/10.1002/sim.2656openalex-snapshot
An overall strategy based on regression models to estimate relative survival and model the effects of prognostic factors in cancer survival studies
inferredcites →https://doi.org/10.1002/sim.3064openalex-snapshot
Flexible parametric models for relative survival, with application in coronary heart disease
inferredcites →https://doi.org/10.1002/sim.3242openalex-snapshot
Dynamic regression hazards models for relative survival
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/10.1007/978-0-387-68560-1openalex-snapshot
Survival and Event History Analysis: A Process Point of View
inferredcites →https://doi.org/10.1007/978-1-4757-1229-2_14openalex-snapshot
Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers
inferredcites →https://doi.org/10.1007/978-1-4757-3294-8openalex-snapshot
Modeling Survival Data: Extending the Cox Model
inferredcites →https://doi.org/10.1016/j.ejca.2006.07.021openalex-snapshot
Survival of cancer patients in France: A population-based study from The Association of the French Cancer Registries (FRANCIM)
inferredcites →https://doi.org/10.1080/01621459.1995.10476491openalex-snapshot
Hazard Regression
inferredcites →https://doi.org/10.1093/biomet/83.1.127openalex-snapshot
Proportional excess hazards
inferredcites →https://doi.org/10.1093/biostatistics/kxn021openalex-snapshot
An approach to estimation in relative survival regression
inferredcites →https://doi.org/10.1111/j.1541-0420.2011.01640.xopenalex-snapshot
On Estimation in Relative Survival
inferredcites →https://doi.org/10.1136/jcp.44.4.265openalex-snapshot
Inadequacy of death certification: proposal for change.
inferredcites →https://doi.org/10.2105/ajph.71.3.242openalex-snapshot
Accuracy of cancer death certificates and its effect on cancer mortality statistics.
inferredcites →https://doi.org/10.2307/2347789openalex-snapshot
Regression Analysis of Relative Survival Rates
inferredcites →https://doi.org/10.2307/2529873openalex-snapshot
Cancer Survival Corrected for Heterogeneity in Patient Withdrawal
inferredcites →https://doi.org/10.2307/2530743openalex-snapshot
Additive and Multiplicative Models for Relative Survival Rates
inferredcites →https://doi.org/10.2307/2531494openalex-snapshot
Simple Parametric and Nonparametric Models for Excess and Relative Mortality

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4649898openalex-extracted
inferred← citeshttps://doi.org/10.1002/ijc.27725openalex-snapshot
Breast cancer survival in the US and Europe: A CONCORD high‐resolution study
inferred← citeshttps://doi.org/10.1002/ijc.27830openalex-snapshot
Cancer net survival on registry data: Use of the new unbiased Pohar‐Perme estimator and magnitude of the bias with the classical methods
inferred← citeshttps://doi.org/10.1002/ijc.27857openalex-snapshot
Unbiased estimates of long‐term net survival of solid cancers in France
inferred← citeshttps://doi.org/10.1002/ijc.27889openalex-snapshot
Unbiased estimates of long‐term net survival of hematological malignancy patients detailed by major subtypes in France
inferred← citeshttps://doi.org/10.1002/ijc.28039openalex-snapshot
Author's reply to: Estimating net survival in population‐based cancer studies
inferred← citeshttps://doi.org/10.1002/ijc.28041openalex-snapshot
Estimating net survival in population‐based cancer studies
inferred← citeshttps://doi.org/10.1002/ijc.29984openalex-snapshot
Are international differences in breast cancer survival between A ustralia and the UK present amongst both screen‐detected women and non‐screen‐detected women? survival estimates for women diagnosed in W est M idlands and N ew S outh W ales 1997–2006
inferred← citeshttps://doi.org/10.1002/jso.25469openalex-snapshot
Urgent surgery in colon cancer has no impact on survival
inferred← citeshttps://doi.org/10.1002/sim.5877openalex-snapshot
Informative censoring in relative survival
inferred← citeshttps://doi.org/10.1002/sim.6833openalex-snapshot
Comparing net survival estimators of cancer patients
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1002/sim.7645openalex-snapshot
Explained variation of excess hazard models
inferred← citeshttps://doi.org/10.1002/sim.8521openalex-snapshot
Doubly robust inference procedure for relative survival ratio in population‐based cancer registry data
inferred← citeshttps://doi.org/10.1007/978-3-030-69329-9_5openalex-snapshot
Social Disparities in Cancer Survival: Methodological Considerations
inferred← citeshttps://doi.org/10.1007/s00268-015-3164-8openalex-snapshot
Long‐Term Survival is not Impaired After the Complete Resection of Neuroendocrine Tumors of the Appendix
inferred← citeshttps://doi.org/10.1007/s00423-016-1432-1openalex-snapshot
Baseline mortality-adjusted survival in colon cancer patients
inferred← citeshttps://doi.org/10.1007/s11605-014-2618-xopenalex-snapshot
Baseline Mortality-Adjusted Survival in Resected Rectal Cancer Patients
inferred← citeshttps://doi.org/10.1007/s13385-020-00254-xopenalex-snapshot
Waiting period from diagnosis for mortgage insurance issued to cancer survivors
inferred← citeshttps://doi.org/10.1007/s40300-026-00312-6openalex-snapshot
The relative survival framework: theory, history, and discussion
inferred← citeshttps://doi.org/10.1016/j.canep.2013.04.001openalex-snapshot
Description of an approach based on maximum likelihood to adjust an excess hazard model with a random effect
inferred← citeshttps://doi.org/10.1016/j.canep.2013.08.006openalex-snapshot
Probabilities of dying from cancer and other causes in French cancer patients based on an unbiased estimator of net survival: A study of five common cancers
inferred← citeshttps://doi.org/10.1016/j.canep.2014.11.008openalex-snapshot
Trends in cancer prognosis in a population-based cohort survey: Can recent advances in cancer therapy affect the prognosis?
inferred← citeshttps://doi.org/10.1016/j.canep.2015.04.001openalex-snapshot
Cause-specific or relative survival setting to estimate population-based net survival from cancer? An empirical evaluation using women diagnosed with breast cancer in Geneva between 1981 and 1991 and followed for 20 years after diagnosis
inferred← citeshttps://doi.org/10.1016/j.canep.2017.02.005openalex-snapshot
Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation
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.dld.2015.03.013openalex-snapshot
Conditional net survival: Relevant prognostic information for colorectal cancer survivors. A French population-based study
inferred← citeshttps://doi.org/10.1016/j.ejca.2011.03.011openalex-snapshot
Choosing the relative survival method for cancer survival estimation
inferred← citeshttps://doi.org/10.1016/j.ejca.2013.09.019openalex-snapshot
Choosing the net survival method for cancer survival estimation
inferred← citeshttps://doi.org/10.1016/j.ejca.2016.11.019openalex-snapshot
Estimation of net survival for cancer patients: Relative survival setting more robust to some assumption violations than cause-specific setting, a sensitivity analysis on empirical data
inferred← citeshttps://doi.org/10.1016/j.ejso.2018.01.079openalex-snapshot
Prognostic impact of anastomotic leakage after elective colon resection for cancer – A propensity score matched analysis of 628 patients
inferred← citeshttps://doi.org/10.1016/j.ejso.2021.03.250openalex-snapshot
Still proliferating CD44+/Ki67+ tumor cells after neoadjuvant radiochemotherapy identify rectal cancer patients with poor survival
inferred← citeshttps://doi.org/10.1016/j.envint.2014.07.008openalex-snapshot
Net survival after exposure to polychlorinated biphenyls and dioxins: The Yusho study
inferred← citeshttps://doi.org/10.1016/j.healthplace.2014.08.002openalex-snapshot
The influence of geographical access to health care and material deprivation on colorectal cancer survival: Evidence from France and England
inferred← citeshttps://doi.org/10.1016/j.jgo.2021.04.003openalex-snapshot
The impact of timely cancer diagnosis on age disparities in colon cancer survival
inferred← citeshttps://doi.org/10.1016/j.respe.2016.05.005openalex-snapshot
Challenges in the estimation of Net SURvival: The CENSUR working survival group
inferred← citeshttps://doi.org/10.1016/s0140-6736(14)62038-9openalex-snapshot
Global surveillance of cancer survival 1995–2009: analysis of individual data for 25 676 887 patients from 279 population-based registries in 67 countries (CONCORD-2)
inferred← citeshttps://doi.org/10.1016/s2352-3026(15)00155-6openalex-snapshot
Changes in dynamics of excess mortality rates and net survival after diagnosis of follicular lymphoma or diffuse large B-cell lymphoma: comparison between European population-based data (EUROCARE-5)
inferred← citeshttps://doi.org/10.1038/bjc.2015.204openalex-snapshot
Ethnicity, deprivation and screening: survival from breast cancer among screening-eligible women in the West Midlands diagnosed from 1989 to 2011
inferred← citeshttps://doi.org/10.1093/biostatistics/kxaa017openalex-snapshot
Direct modeling of the crude probability of cancer death and the number of life years lost due to cancer without the need of cause of death: a pseudo-observation approach in the relative survival setting
inferred← citeshttps://doi.org/10.1093/biostatistics/kxw056openalex-snapshot
Performance of two formal tests based on martingales residuals to check the proportional hazard assumption and the functional form of the prognostic factors in flexible parametric excess hazard models
inferred← citeshttps://doi.org/10.1093/biostatistics/kxy008openalex-snapshot
Using pseudo-observations for estimation in relative survival
inferred← citeshttps://doi.org/10.1097/cej.0000000000000301openalex-snapshot
New insights into survival trend analyses in cancer population-based studies: the SUDCAN methodology
inferred← citeshttps://doi.org/10.1097/dcr.0b013e31829f3436openalex-snapshot
Long-term Net Survival in Patients With Colorectal Cancer in France
inferred← citeshttps://doi.org/10.1111/biom.12477openalex-snapshot
A Log-Rank-Type Test to Compare Net Survival Distributions
inferred← citeshttps://doi.org/10.1111/biom.12568openalex-snapshot
Doubly Robust Estimator for Net Survival Rate in Analyses of Cancer Registry Data
inferred← citeshttps://doi.org/10.1111/ejh.12403openalex-snapshot
Trends in excess mortality in follicular lymphoma at a population level
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1136/bmjopen-2013-003055openalex-snapshot
Colorectal cancer survival in the USA and Europe: a CONCORD high-resolution study
inferred← citeshttps://doi.org/10.1177/0962280218779408openalex-snapshot
Flexible and structured survival model for a simultaneous estimation of non-linear and non-proportional effects and complex interactions between continuous variables: Performance of this multidimensional penalized spline approach in net survival trend analysis
inferred← citeshttps://doi.org/10.1177/0962280218782293openalex-snapshot
On a general structure for hazard-based regression models: An application to population-based cancer research
inferred← citeshttps://doi.org/10.1177/0962280218811357openalex-snapshot
Improving survival in end-stage renal disease: A case study
inferred← citeshttps://doi.org/10.1177/0962280219870217openalex-snapshot
A permutation test based on the restricted mean survival time for comparison of net survival distributions in non-proportional excess hazard settings
inferred← citeshttps://doi.org/10.1177/0962280219874094openalex-snapshot
Flexible Bayesian excess hazard models using low-rank thin plate splines
inferred← citeshttps://doi.org/10.1177/1536867x1401400107openalex-snapshot
Net Survival Estimation with Stns
inferred← citeshttps://doi.org/10.1177/1536867x1501500111openalex-snapshot
Estimating Net Survival using a Life-Table Approach
inferred← citeshttps://doi.org/10.1177/1536867x1501500112openalex-snapshot
Estimating and Modeling Relative Survival
inferred← citeshttps://doi.org/10.1186/1471-2407-12-460openalex-snapshot
Conditional survival of cancer patients: an Australian perspective
inferred← citeshttps://doi.org/10.1186/s12874-015-0048-4openalex-snapshot
Prostate cancer: net survival and cause-specific survival rates after multiple imputation
inferred← citeshttps://doi.org/10.1186/s12874-015-0057-3openalex-snapshot
Comparison of different approaches to estimating age standardized net survival
inferred← citeshttps://doi.org/10.1186/s12874-019-0747-3openalex-snapshot
Correcting for misclassification and selection effects in estimating net survival in clinical trials
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1186/s12874-020-01139-zopenalex-snapshot
Correcting inaccurate background mortality in excess hazard models through breakpoints
inferred← citeshttps://doi.org/10.1186/s12885-015-1947-9openalex-snapshot
Under-treatment of elderly patients with ovarian cancer: a population based study
inferred← citeshttps://doi.org/10.1186/s12885-016-2967-9openalex-snapshot
Analysing population-based cancer survival – settling the controversies
inferred← citeshttps://doi.org/10.1245/s10434-020-09116-yopenalex-snapshot
Does Side Really Matter? Survival Analysis among Patients with Right- Versus Left-Sided Colon Cancer: A Propensity Score-Adjusted Analysis
inferred← citeshttps://doi.org/10.1515/ijb-2021-0016openalex-snapshot
A parametric approach to relaxing the independence assumption in relative survival analysis
inferred← citeshttps://doi.org/10.1515/ijb-2024-0035openalex-snapshot
A nonparametric dependent competing risk method for net survival analysis
inferred← citeshttps://doi.org/10.2147/clep.s150848openalex-snapshot
Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.2188/jea.je20160180openalex-snapshot
Critical Points for Interpreting Patients’ Survival Rate Using Cancer Registries: A Literature Review
inferred← citeshttps://doi.org/10.25100/cm.v49i1.3689openalex-snapshot
Información fiable para el control del cáncer en Cali, Colombia
inferred← citeshttps://doi.org/10.3109/10428194.2014.956315openalex-snapshot
The heterogeneity of changes in incidence and survival among lymphoid malignancies in a 30-year French population-based registry
inferred← citeshttps://doi.org/10.31557/apjcp.2019.20.2.437openalex-snapshot
Net Survival of Elderly Patients with Gynecological Cancer Aged Over 75 Years in 2006-2008
inferred← citeshttps://doi.org/10.3332/ecancer.2018.855openalex-snapshot
Survival probabilities and trends for lip, oral cavity and oropharynx cancers in the Northern Region of Portugal in the period 2000–2009
inferred← citeshttps://doi.org/10.3390/cancers13205156openalex-snapshot
Socioeconomic Environment and Survival in Patients with Digestive Cancers: A French Population-Based Study
inferred← citeshttps://doi.org/10.3390/cancers14143304openalex-snapshot
Net Survival in Survival Analyses for Patients with Cancer: A Scoping Review
inferred← citeshttps://doi.org/10.3390/jcm12062172openalex-snapshot
Trends in Net Survival from Vulvar Squamous Cell Carcinoma in Italy (1990–2015)
inferred← citeshttps://doi.org/10.6084/m9.figshare.13167255openalex-snapshot
Additional file 1 of Correcting inaccurate background mortality in excess hazard models through breakpoints
inferred← citeshttps://doi.org/10.6084/m9.figshare.13167258openalex-snapshot
Additional file 2 of Correcting inaccurate background mortality in excess hazard models through breakpoints
inferred← citeshttps://doi.org/10.6084/m9.figshare.13167261openalex-snapshot
Additional file 3 of Correcting inaccurate background mortality in excess hazard models through breakpoints
inferred← citeshttps://doi.org/10.6084/m9.figshare.13167264openalex-snapshot
Additional file 4 of Correcting inaccurate background mortality in excess hazard models through breakpoints
inferred← citeshttps://doi.org/10.6084/m9.figshare.13167267openalex-snapshot
Additional file 5 of Correcting inaccurate background mortality in excess hazard models through breakpoints
inferred← citeshttps://doi.org/10.6084/m9.figshare.13167270openalex-snapshot
Additional file 6 of Correcting inaccurate background mortality in excess hazard models through breakpoints
inferred← citeshttps://doi.org/10.70675/45ff0327z2ba4z4eaazb941z594fed36f814openalex-snapshot
Risques concurrents et modèles multi-états dans les analyses de survie en dialyse
inferred← citeshttps://doi.org/10.70675/64f12001z3fcaz4d08z870czfd3cf0652302openalex-snapshot
Extension de l'analyse de la survie nette au domaine de la recherche clinique
inferred← citeshttps://doi.org/10.70675/c7d9a9c6z4090z490cz825cz9f7841638465openalex-snapshot
Analyse de la mortalité en excès par cancer : modélisations corrigeant le manque de variables supplémentaires dans les tables de mortalité
inferred← citeshttps://doi.org/10.70675/c9bf6ef1zed01z4119z8233z00ade6cdde5aopenalex-snapshot
Impact de l'âge dans le cancer du sein : du diagnostic à la qualité de vie des patientes
inferred← citeshttps://doi.org/10.70675/d8545a93z8b5dz4fc5za948zb3aadf7d6c4bopenalex-snapshot
Splines multidimensionnelles pénalisées pour modéliser le taux de survenue d’un événement : application au taux de mortalité en excès et à la survie nette en épidémiologie des maladies chroniques
inferred← citeshttps://doi.org/10.70675/e60d5af7zf532z4059zb9bdz2aa24f24f61bopenalex-snapshot
Méthodes d'analyse de la survie nette : utilisation des tables de mortalité, test de comparaison et détection d'agrégats spatiaux
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