Results 31 to 40 of about 10,758,008 (293)
Contemporary Clinical Trials Communications, 2015 The semi-parametric proportional hazards model is widely adopted in randomized clinical trials with time-to-event outcomes, and the log-rank test is frequently used to detect a potential treatment effect.
Pei He, Zheng Su
doaj +1 more source
Frontiers in Endocrinology, 2023 BackgroundThe use of surgery is controversial in patients with stage T3 or T4 triple-negative breast cancer (TNBC). We aimed to explore the effect of surgical treatment on overall survival (OS) of these patients.MethodsA total of 2,041 patients were ...
Jie Hu +12 more
doaj +1 more source
Semiparametric estimation of a panel data proportional hazards model with fixed effects [PDF]
, 2002 This paper considers a panel duration model that has a proportional hazards specification with fixed effects. The paper shows how to estimate the baseline and integrated baseline hazard functions without assuming that they belong to known ...
Joel L. Horowitz +5 more
core +1 more source
An approach to trial design and analysis in the era of non-proportional hazards of the treatment effect. [PDF]
Trials, 2014 Most randomized controlled trials with a time-to-event outcome are designed and analysed under the proportional hazards assumption, with a target hazard ratio for the treatment effect in mind. However, the hazards may be non-proportional. We address how to design a trial under such conditions, and how to analyse the results.We propose to extend the ...
Royston P, Parmar MK.
europepmc +4 more sources
A Multiple kernel testing procedure for non-proportional hazards in factorial designs
CoRR, 2022 In this paper we propose a Multiple kernel testing procedure to infer survival data when several factors (e.g. different treatment groups, gender, medical history) and their interaction are of interest simultaneously. Our method is able to deal with complex data and can be seen as an alternative to the omnipresent Cox model when assumptions such as ...
Marc Ditzhaus +2 more
openaire +3 more sources
Identification of a competing risks model with unknown transformations of latent failure times [PDF]
, 2005 This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional ...
Lee, S., Lee, Sokbae, Sokbae (Simon) Lee
core +1 more source
Cardiovascular Diabetology, 2023 Background The atherogenic index of plasma (AIP) can reflect the burden of atherosclerosis. Hyperglycemia is one of the leading causes of atherosclerosis. However, the relationship between AIP and prediabetes is rarely studied.
Xiaodan Zheng +4 more
doaj +1 more source
Flexible Boosting of Accelerated Failure Time Models [PDF]
, 2008 When boosting algorithms are used for building survival models from high-dimensional data, it is common to fit a Cox proportional hazards model or to apply semiparametric least squares techniques.
Torsten Hothorn +5 more
core +1 more source
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset. [PDF]
J Appl StatSurvival data analysis often uses the Cox proportional hazards (PH) model. This model is widely applied due to its straightforward interpretation of the hazard ratio under the assumption that the hazard rates for two subjects remain constant over time.
Rosa KC, Calsavara VF, Louzada F.
europepmc +3 more sources
Competing risk models to estimate the excess mortality and the first recurrent-event hazards [PDF]
, 2011 Background In medical research, one common competing risks situation is the study of different types of events, such as disease recurrence and death. We focused on that situation but considered death under two aspects: "expected death" and "excess death",
Belot Aurélien +14 more
core +2 more sources