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   Articles with "cure fraction" as a keyword



Estimating the causal effects in randomized trials for survival data with a cure fraction and non compliance

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recommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2015.1076481

Abstract: ABSTRACT We consider causal inference in randomized studies for survival data with a cure fraction and all-or-none treatment non compliance. To describe the causal effects, we consider the complier average causal effect (CACE) and the… read more here.

Keywords: non compliance; cure fraction; compliance; survival data ... See more keywords

Improving estimation efficiency for case-cohort studies with a cure fraction.

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recommendations! Published in 2025 at "Biometrics"

DOI: 10.1093/biomtc/ujaf059

Abstract: In the studies of time-to-event outcomes, it often happens that a fraction of subjects will never experience the event of interest, and these subjects are said to be cured. The studies with a cure fraction… read more here.

Keywords: cure fraction; case cohort; estimation; studies cure ... See more keywords

Estimating the impact of adjuvant treatment with nivolumab on long-term survivorship rates compared with surveillance: Analyses of disease-free survival (DFS) from the phase 3 CheckMate-274 trial.

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recommendations! Published in 2024 at "Journal of Clinical Oncology"

DOI: 10.1200/jco.2024.42.4_suppl.528

Abstract: 528 Background: Durable DFS and cure are the ultimate goals for the treatment of muscle invasive urothelial carcinoma (MIUC) with radical cystectomy. This analysis employed mixture cure models (MCMs) to estimate the underlying cure fraction… read more here.

Keywords: cure; cure fraction; trial; nivo arm ... See more keywords

Classical and Bayesian inference approaches for the exponentiated discrete Weibull model with censored data and a cure fraction

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recommendations! Published in 2021 at "Pakistan Journal of Statistics and Operation Research"

DOI: 10.18187/pjsor.v17i2.3693

Abstract: In this paper, we introduce maximum likelihood and Bayesian parameter estimation for the exponentiated discrete Weibull (EDW) distribution in the presence of randomly right-censored data. We also consider the inclusion of a cure fraction in… read more here.

Keywords: censored data; exponentiated discrete; model; discrete weibull ... See more keywords