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Summarizing and communicating on survival data according to the audience: a tutorial on different measures illustrated with population-based cancer registry data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Changes in the Risk of Death After HIV Seroconversion Compared With Mortality in the General Population
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Cumulative cause-specific mortality for cancer patients in the presence of other causes: a crude analogue of relative survival
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Conditional relative survival of cancer patients and conditional probability of death
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Conditional survival estimates improve over time for patients with advanced melanoma
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Dynamic prognostication using conditional survival estimates
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An overall strategy based on regression models to estimate relative survival and model the effects of prognostic factors in cancer survival studies
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Tutorial in biostatistics: competing risks and multi‐state models
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Estimating the crude probability of death due to cancer and other causes using relative survival models
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The use of restricted mean survival time to estimate the treatment effect in randomized clinical trials when the proportional hazards assumption is in doubt
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Predicting the absolute risk of dying from colorectal cancer and from other causes using population‐based cancer registry data
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Estimating net survival: the importance of allowing for informative censoring
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Relative survival and the estimation of net survival: Elements for further discussion
inferredcites →https://doi.org/10.1002/sim.5903openalex-snapshot
Decomposition of number of life years lost according to causes of death
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
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A flexible and coherent test/estimation procedure based on restricted mean survival times for censored time‐to‐event data in randomized clinical trials
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How can we make cancer survival statistics more useful for patients and clinicians: An illustration using localized prostate cancer in Sweden
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Regression Analysis of Restricted Mean Survival Time Based on Pseudo-Observations
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Estimation of average causal effect using the restricted mean residual lifetime as effect measure
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Excess mortality attributable to chronic kidney disease. Results from the PIRP project
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Estimating the expectation of life in cancer survival studies with incomplete follow-up information
inferredcites →https://doi.org/10.1016/j.annepidem.2008.09.003openalex-snapshot
County-Level Socioeconomic Status and Survival After HIV Diagnosis, United States
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Conditional relative survival: A different perspective to measuring cancer outcomes
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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
inferredcites →https://doi.org/10.1016/j.jclinepi.2005.11.021openalex-snapshot
Clinicians didn't reliably distinguish between different causes of cardiac death using case histories
inferredcites →https://doi.org/10.1016/s0025-6196(26)04443-5openalex-snapshot
CALCULATION OF SURVIVAL RATES FOR CANCER
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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)
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Use of Irwin's restricted mean as an index for comparing survival in different treatment groups—Interpretation and power considerations
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Population-based cancer registries: the invisible key to cancer control
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Cancer survival in Europe 1999–2007 by country and age: results of EUROCARE-5—a population-based study
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The standard error of an estimate of expectation of life, with special reference to expectation of tumourless life in experiments with mice
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Choice of geographic unit influences socioeconomic inequalities in breast cancer survival
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Survival in Patients Treated by Long-term Dialysis Compared With the General Population
inferredcites →https://doi.org/10.1080/02664763.2015.1120710openalex-snapshot
Survival and lifetime data analysis with a flexible class of distributions
inferredcites →https://doi.org/10.1093/eurheartj/ehn079openalex-snapshot
Relative survival: what can cardiovascular disease learn from cancer?
inferredcites →https://doi.org/10.1093/ije/dyr213openalex-snapshot
Competing risks in epidemiology: possibilities and pitfalls
inferredcites →https://doi.org/10.1093/jnci/djr318openalex-snapshot
Helping Patients Decide: Ten Steps to Better Risk Communication
inferredcites →https://doi.org/10.1093/jncimonographs/lgu024openalex-snapshot
Cancer Survival: An Overview of Measures, Uses, and Interpretation
inferredcites →https://doi.org/10.1097/paf.0b013e318219877eopenalex-snapshot
Variability in Cancer Death Certificate Accuracy by Characteristics of Death Certifiers
inferredcites →https://doi.org/10.1111/biom.12384openalex-snapshot
On the Restricted Mean Survival Time Curve in Survival Analysis
inferredcites →https://doi.org/10.1111/biom.12477openalex-snapshot
A Log-Rank-Type Test to Compare Net Survival Distributions
inferredcites →https://doi.org/10.1111/biom.12770openalex-snapshot
Efficiency of Two Sample Tests via the Restricted Mean Survival Time for Analyzing Event Time Observations
inferredcites →https://doi.org/10.1111/j.0006-341x.2001.01030.xopenalex-snapshot
Causal Inference on the Difference of the Restricted Mean Lifetime Between Two Groups
inferredcites →https://doi.org/10.1111/j.1524-4733.2008.00350.xopenalex-snapshot
Estimation of Life Expectancy and the Expected Years of Life Lost in Patients with Major Cancers: Extrapolation of Survival Curves under High-Censored Rates
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.1541-0420.2012.01759.xopenalex-snapshot
Double‐Robust Semiparametric Estimator for Differences in Restricted Mean Lifetimes in Observational Studies
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Life expectancy difference and life expectancy ratio: two measures of treatment effects in randomised trials with non-proportional hazards
inferredcites →https://doi.org/10.1136/bmjopen-2014-006740openalex-snapshot
Estimating the change in life expectancy after a diagnosis of cancer among the Australian population
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Conditional Survival: A Useful Concept to Provide Information on How Prognosis Evolves over Time
inferredcites →https://doi.org/10.1161/01.str.0000082382.42061.eeopenalex-snapshot
Ten-Year Survival After First-Ever Stroke in the Perth Community Stroke Study
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Sex Differences in Treatments, Relative Survival, and Excess Mortality Following Acute Myocardial Infarction: National Cohort Study Using the SWEDEHEART Registry
inferredcites →https://doi.org/10.1186/1471-2288-13-102openalex-snapshot
Comparison of the risk factors effects between two populations: two alternative approaches illustrated by the analysis of first and second kidney transplant recipients
inferredcites →https://doi.org/10.1186/1471-2288-13-152openalex-snapshot
Restricted mean survival time: an alternative to the hazard ratio for the design and analysis of randomized trials with a time-to-event outcome
inferredcites →https://doi.org/10.1186/1471-2407-12-460openalex-snapshot
Conditional survival of cancer patients: an Australian perspective
inferredcites →https://doi.org/10.1186/1471-2407-13-609openalex-snapshot
Accuracy of cause of death data routinely recorded in a population-based cancer registry: impact on cause-specific survival and validation using the Geneva cancer registry
inferredcites →https://doi.org/10.1186/s12874-016-0234-zopenalex-snapshot
Adjusting for overdispersion in piecewise exponential regression models to estimate excess mortality rate in population-based research
inferredcites →https://doi.org/10.1186/s12874-017-0351-3openalex-snapshot
On comparison of net survival curves
inferredcites →https://doi.org/10.1186/s12874-018-0484-zopenalex-snapshot
An application of restricted mean survival time in a competing risks setting: comparing time to ART initiation by injection drug use
inferredcites →https://doi.org/10.1186/s12885-016-2967-9openalex-snapshot
Analysing population-based cancer survival – settling the controversies
inferredcites →https://doi.org/10.1198/jasa.2003.s310openalex-snapshot
The Statistical Analysis of Failure Time Data
inferredcites →https://doi.org/10.1200/jco.2003.04.521openalex-snapshot
Conditional Survival of Patients With the Four Major Histologic Subgroups of Lung Cancer in Denmark
inferredcites →https://doi.org/10.1200/jco.2009.23.0573openalex-snapshot
Conditional Survival and the Choice of Conditioning Set for Patients With Colon Cancer: An Analysis of NSABP Trials C-03 Through C-07
inferredcites →https://doi.org/10.1200/jco.2009.25.9697openalex-snapshot
Clinical Relevance of Conditional Survival of Cancer Patients in Europe: Age-Specific Analyses of 13 Cancers
inferredcites →https://doi.org/10.1200/jco.2014.55.2208openalex-snapshot
Moving Beyond the Hazard Ratio in Quantifying the Between-Group Difference in Survival Analysis
inferredcites →https://doi.org/10.1200/jco.2016.67.2279openalex-snapshot
Covariate-Adjusted Restricted Mean Survival Times and Curves
inferredcites →https://doi.org/10.1200/jco.2016.71.9393openalex-snapshot
Conditional Survival: An Assessment of the Prognosis of Patients at Time Points After Initial Diagnosis and Treatment of Locoregional Melanoma Metastasis
inferredcites →https://doi.org/10.1201/b18695openalex-snapshot
Data Analysis with Competing Risks and Intermediate States
inferredcites →https://doi.org/10.1371/journal.pmed.1000066openalex-snapshot
Mortality of HIV-Infected Patients Starting Antiretroviral Therapy in Sub-Saharan Africa: Comparison with HIV-Unrelated Mortality
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/10.2105/ajph.91.11.1783openalex-snapshot
Investigating Neighborhood and Area Effects on Health
inferredcites →https://doi.org/10.2147/clep.s150848openalex-snapshot
Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data
inferredcites →https://doi.org/10.2147/clep.s17349openalex-snapshot
Appraising relative and excess mortality in population-based studies of chronic diseases such as end-stage renal disease
inferredcites →https://doi.org/10.2307/2532098openalex-snapshot
Estimates of Absolute Cause-Specific Risk in Cohort Studies
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Cancer outcomes research—a European challenge: measures of the cancer burden
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Impact of cancer and other causes of death on mortality of cancer patients: A study based on Japanese population‐based registry data
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Population‐level 5‐year event‐free survival for children with cancer in Australia
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Bayesian Spatial Relative Survival Model to Estimate the Loss in Life Expectancy and Crude Probability of Death for Cancer Patients
inferred← citeshttps://doi.org/10.1002/sim.9657openalex-snapshot
Individual frailty excess hazard models in cancer epidemiology
inferred← citeshttps://doi.org/10.1007/978-3-030-69329-9_5openalex-snapshot
Social Disparities in Cancer Survival: Methodological Considerations
inferred← citeshttps://doi.org/10.1007/978-3-031-56806-0_61openalex-snapshot
Communicating Cancer Survival Inequalities Among Indigenous and Tribal Peoples
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Age at diagnosis, lifestyle factors, and risk of mortality: a city-wide cohort study of cancer survivors
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Comprehensive conditional survival analysis of pancreatic signet ring cell carcinoma: chemotherapy’s role and predictive model development using the SEER database
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/10.1016/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.2026.103078openalex-snapshot
Contrasting cancer inequalities in Europe: Patterns of geographical variations in cancer mortality by country and sex
inferred← citeshttps://doi.org/10.1016/j.canep.2026.103201openalex-snapshot
Temporal trends in cancer among the oldest-old: incidence, stage at diagnosis, treatment and survival. A population-based study, Hérault, France, 1990–2022
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Intrinsic capacity and 10-year mortality: Findings from a cohort of older people
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Socioeconomic Status, Physical Functioning and Mortality: Results From a Cohort Study of Older Adults in Hong Kong
inferred← citeshttps://doi.org/10.1016/j.jchf.2020.07.005openalex-snapshot
Utility of Restricted Mean Survival Time Analysis for Heart Failure Clinical Trial Evaluation and Interpretation
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Temporal improvements noted in life expectancy of patients with colorectal cancer; a Dutch population-based study
inferred← citeshttps://doi.org/10.1016/j.radonc.2023.109716openalex-snapshot
Constructing an individualized surveillance framework for nasopharyngeal carcinoma based on a dynamic risk-adapted approach
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Contrasting socio-economic influences on colorectal cancer incidence and survival in England and Wales
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Prioritizing Outcome Measures for Value-Based Healthcare: Physicians’ Perspectives in Saudi Arabia
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Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost?
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Association of socioeconomic deprivation with life expectancy and all-cause mortality in Spain, 2011–2013
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Constructing individualized follow-up strategies for locally advanced esophageal squamous cell carcinoma patients based on dynamic recurrence risk changes
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Modeling survival response using a parametric approach in the presence of multicollinearity
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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
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Prognosis of cancer survivors: estimation based on differential equations
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Beta-blocker initiation under dobutamine infusion in acute advanced heart failure: a target trial emulation with observational data
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Reflection on modern methods: trial emulation in the presence of immortal-time bias. Assessing the benefit of major surgery for elderly lung cancer patients using observational data
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Reference-adjusted and standardized all-cause and crude probabilities as an alternative to net survival in population-based cancer studies
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Long‐term excess mortality and net survival among elderly diffuse large B‐cell lymphoma patients after front‐line R‐CHOP treatment
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Cancer survival statistics for patients and healthcare professionals – a tutorial of real‐world data analysis
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A Unifying Framework for Flexible Excess Hazard Modelling with Applications in Cancer Epidemiology
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Patterns of age disparities in colon and lung cancer survival: a systematic narrative literature review
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A Flexible and Robust Approach to Analyze Survival Systems in the Presence of Extreme Observations
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Quantifying the Number of Cancer Deaths Avoided Due to Improvements in Cancer Survival since the 1980s in the Australian Population, 1985–2014
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Monitoring Temporal Trends in Cancer Survival: Choosing Appropriate Standards When Accounting for Age and Other-Cause Mortality Variation Over Time
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Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inference
inferred← citeshttps://doi.org/10.1177/09622802211031615openalex-snapshot
Dealing with missing information on covariates for excess mortality hazard regression models – Making the imputation model compatible with the substantive model
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Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology
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Estimating restricted mean survival time and expected life-years lost in the presence of competing risks within flexible parametric survival models
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Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisons
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Bayesian variable selection and survival modeling: assessing the Most important comorbidities that impact lung and colorectal cancer survival in Spain
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Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv
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An investigation of cancer survival inequalities associated with individual-level socio-economic status, area-level deprivation, and contextual effects, in a cancer patient cohort in England and Wales
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Prognostic comparison of ablation and laser excision in a population-based cohort of stage III–IV pulmonary malignant tumors
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Prognostic significance of right ventricular dysfunction in heart failure with preserved ejection fraction: a meta-analysis of reconstructed time-to-event data
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VIGICANCER: Understanding Real-World Childhood Cancer Clinical Outcomes in Colombia to Inform Cancer Control Policy
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Quantifying the number of deaths among Aboriginal and Torres Strait Islander cancer patients that could be avoided by removing survival inequalities, Australia 2005–2016
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mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect
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Health indices for disease incidence risk and duration in the Semi-Markov setting
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Non-Parametric Estimation of Reference Adjusted, Standardised Probabilities of All-Cause Death and Death Due to Cancer for Population Group Comparisons
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Socioeconomic Inequalities in Colorectal Cancer Survival in Southern Spain: A Multilevel Population-Based Cohort Study
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Health outcomes measurement for value-based healthcare
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Communicating About Mortality in Health Decision Support: ‘What and Why and When, and How and Where and Who’
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Trends in Staging, Treatment, and Survival in Colorectal Cancer Between 1990 and 2014 in the Rotterdam Study
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Excess Mortality by Multimorbidity, Socioeconomic, and Healthcare Factors, amongst Patients Diagnosed with Diffuse Large B-Cell or Follicular Lymphoma in England
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Trends in Liver Cancer Incidence and Survival in Italy by Histologic Type, 2003–2017
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Trends in Net Survival from Vulvar Squamous Cell Carcinoma in Italy (1990–2015)
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Conditional Survival and Cure of Patients With Colon or Rectal Cancer: A Population-Based Study
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Additional file 1 of Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisons
inferred← citeshttps://doi.org/10.6084/m9.figshare.18393284openalex-snapshot
Additional file 1 of An investigation of cancer survival inequalities associated with individual-level socio-economic status, area-level deprivation, and contextual effects, in a cancer patient cohort in England and Wales
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