ArticleDiagnostic and prognostic research2019
A comparison of landmark methods and time-dependent ROC methods to evaluate the time-varying performance of prognostic markers for survival outcomes.
Article in Diagnostic and prognostic research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- Dynamic survival analysis via a landmarking-gradient boosting approach and its application to kidney transplant data.BMC medical informatics and decision making · 2025Article
- Evaluating Gene Fusions as Prognostic Biomarkers and Therapeutic Targets in Immune Checkpoint Blockade-Treated Advanced Melanoma: A Retrospective Analysis.Cancer research communications · 2025Article
- Cut-off values of Geriatric Nutritional Risk Index for cardiovascular events in Japanese patients with acute myocardial infarction.Heart and vessels · 2025Article
- Prognostic modeling of early-onset nondistal gastric cancer identifiesFrontiers in immunology · 2025Article
- Prognostic Value of Blood-Based Inflammatory Markers in Cancer Patients Receiving Immune Checkpoint Inhibitors.Cancers · 2024Article
- Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review.Computational and structural biotechnology journal · 2024Review
- Association between QT prolongation and cardiovascular mortality in cancer patients.Cardio-oncology (London, England) · 2024Article
- Cardiac fibrosis as a predictor for sudden cardiac death after transcatheter aortic valve implantation.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2024Article
- Development and validation of a cuproptosis-related prognostic model for acute myeloid leukemia patients using machine learning with stacking.Scientific reports · 2024Article
- Development and validation of a prognostic score for TIPS placement in patients with viral hepatitis cirrhosis-related portal hypertension: a multi-center retrospective study.Frontiers in medicine · 2024Article
- A CT-based radiomics nomogram for predicting the progression-free survival in small cell lung cancer: a multicenter cohort study.La Radiologia medica · 2023Article
- Copula modeling for the estimation of measures of marker classification and predictiveness performance with survival outcomes.Statistical methods in medical research · 2023Article
- New Staging Model for Radiation-based Hepatocellular Carcinoma Treatment: A National Multicenter Study.Journal of clinical and translational hepatology · 2023Article
- Cardiothoracic ratio values and trajectories are associated with risk of requiring dialysis and mortality in chronic kidney disease.Communications medicine · 2023Article
Corrections and comments
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2 authors.
Funding
Abstract
backgroundPrognostic markers use an individual's characteristics at a given time to predict future disease events, with the ultimate goal of guiding medical decision-making. If an accurate prediction can be made, then a prognostic marker could be used clinically to identify those subjects at greatest risk for future adverse events and may be used to define populations appropriate for targeted therapeutic intervention. Often, a marker is measured at a single baseline time point such as disease diagnosis, and then used to guide decisions at multiple subsequent time points. However, the performance of candidate markers may vary over time as an individual's underlying clinical status changes.
methodsWe provide an overview and comparison of modern statistical methods for evaluating the time-varying accuracy of a baseline prognostic marker. We compare approaches that consider cumulative versus incident events. Additionally, we compare the common approach of using hazard ratios obtained from Cox proportional hazards regression to more recently developed approaches using time-dependent receiver operating characteristic (ROC) curves. The alternative statistical summaries are illustrated using a multiple myeloma study of candidate biomarkers.
resultsWe found that time-varying HRs, HR (
conclusionsWe compared alternative summaries for quantifying a prognostic marker's time-varying performance. Although landmark-based predictions may be useful when patient predictions are needed at select times, a focus on incident events naturally facilitates evaluating trends in performance over time.
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