ArticleStatistics in medicine2019
Estimation of the adjusted cause-specific cumulative probability using flexible regression models for the cause-specific hazards.
Article in Statistics in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 34 citations in OpenAlex.
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- Prosthetic Valve Endocarditis After Aortic Valve Replacement With Bovine Versus Porcine Bioprostheses.Journal of the American Heart Association · 2024Article
- Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time.Statistics in medicine · 2023Article
- Aortic Valve Replacement With Mechanical Valves vs Perimount Bioprostheses in 50- to 69-Year-Old Patients.JACC. Advances · 2023Article
- Neoadjuvant short-course radiotherapy or chemoradiation plus consolidative chemotherapy followed by radical operation for locally advanced rectal cancer.Frontiers in oncology · 2023Article
- On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models.Biometrical journal. Biometrische Zeitschrift · 2022Article
- Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv.BMC medical research methodology · 2022Article
- Comparison of Long-term Performance of Bioprosthetic Aortic Valves in Sweden From 2003 to 2018.JAMA network open · 2022Article
- 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.Biostatistics (Oxford, England) · 2022Article
- From Normal Cognition to Cognitive Impairment and Dementia: Impact of Orthostatic Hypotension.Hypertension (Dallas, Tex. : 1979) · 2021Article
- Doxorubicin and subsequent risk of cardiovascular diseases among survivors of diffuse large B-cell lymphoma in Hong Kong.Blood advances · 2020Article
- Estimation of the adjusted cause-specific cumulative probability using flexible regression models for the cause-specific hazards.Statistics in medicine · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
Abstract
In competing risks setting, we account for death according to a specific cause and the quantities of interest are usually the cause-specific hazards (CSHs) and the cause-specific cumulative probabilities. A cause-specific cumulative probability can be obtained with a combination of the CSHs or via the subdistribution hazard. Here, we modeled the CSH with flexible hazard-based regression models using B-splines for the baseline hazard and time-dependent (TD) effects. We derived the variance of the cause-specific cumulative probabilities at the population level using the multivariate delta method and showed how we could easily quantify the impact of a covariate on the cumulative probability scale using covariate-adjusted cause-specific cumulative probabilities and their difference. We conducted a simulation study to evaluate the performance of this approach in its ability to estimate the cumulative probabilities using different functions for the cause-specific log baseline hazard and with or without a TD effect. In the scenario with TD effect, we tested both well-specified and misspecified models. We showed that the flexible regression models perform nearly as well as the nonparametric method, if we allow enough flexibility for the baseline hazards. Moreover, neglecting the TD effect hardly affects the cumulative probabilities estimates of the whole population but impacts them in the various subgroups. We illustrated our approach using data from people diagnosed with monoclonal gammopathy of undetermined significance and provided the R-code to derive those quantities, as an extension of the R-package mexhaz.
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