Results 41 to 50 of about 15,862 (177)

The Use of Spline, Bayesian Spline and Penalized Bayesian Spline Regression for Modeling

Journal of Scientific Research and Reports, 2015
Aims: The aim of this study is modeled the ratios of export to imports data in Turkey by using nonparametric regression methods. Study Design: This was Spline, Bayesian Spline and Penalized Spline Regression modeling study. Place and Duration of Study: Turkish Statistical Institute.
Erdoğan, M Sami, EGE ORUÇ, ÖZLEM
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Non-Parametric Small Area Estimation Using Penalized Spline Regression [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2005
SummaryThe paper proposes a small area estimation approach that combines small area random effects with a smooth, non-parametrically specified trend. By using penalized splines as the representation for the non-parametric trend, it is possible to express the non-parametric small area estimation problem as a mixed effect model regression.
Opsomer J. D., Claeskens G., RANALLI, Maria Giovanna, Breidt F. J., Kauermann G.   +4 more
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M-type penalized splines with auxiliary scale estimation [PDF]

Journal of Statistical Planning and Inference, 2021
Penalized spline smoothing is a popular and flexible method of obtaining estimates in nonparametric regression but the classical least-squares criterion is highly susceptible to model deviations and atypical observations. Penalized spline estimation with a resistant loss function is a natural remedy, yet to this day the asymptotic properties of M-type ...
Kalogridis, Ioannis, Van Aelst, Stefan
openaire   +3 more sources

Geoadditive hazard regression for interval censored survival times [PDF]

, 2005
The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Kneib, Thomas
core   +4 more sources

Spline-based self-controlled case series method [PDF]

, 2017
The self-controlled case series (SCCS) method is an alternative to study designs such as cohort and case control methods and is used to investigate potential associations between the timing of vaccine or other drug exposures and adverse events.
de Boor, Farrington, Farrington, Farrington, Farrington, Ghebremichael-Weldeselassie, Jensen, Joly, Joly, O'Sullivan, Ramsay, Saarela, Saarela, Weldeselassie, Whitaker, Whitaker   +15 more
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Continuous Ordinal Regression for Analysis of Visual Analogue Scales: The R Package ordinalCont

Journal of Statistical Software, 2020
This paper introduces the R package ordinalCont, which implements an ordinal regression framework for response variables which are recorded on a visual analogue scale (VAS). This scale is used when recording subjects' perception of an intangible quantity
Maurizio Manuguerra, Gillian Z. Heller, Jun Ma   +2 more
doaj   +1 more source

Parametrization and penalties in spline models with an application to survival analysis [PDF]

, 2008
In this paper we show how a simple parametrization, built from the definition of cubic splines, can aid in the implementation and interpretation of penalized spline models, whatever configuration of knots we choose to use.
Costa, Maria J. (Maria João), Shaw, J. Ewart H.   +1 more
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Primary gross tumor volume is prognostic and suggests treatment in upper esophageal cancer

BMC Cancer, 2021
Background To aid clinicians strategizing treatment for upper esophageal squamous cell carcinoma (ESCC), this retrospective study investigated associations between primary gross tumor volume (GTVp) and prognosis in patients given surgical resection ...
Yuanmei Chen, Qiuyuan Huang, Junqiang Chen, Yu Lin, Xinyi Huang, Qifeng Wang, Yong Yang, Bijuan Chen, Yuling Ye, Binglin Zheng, Rong Qi, Yushan Chen, Yuanji Xu   +12 more
doaj   +1 more source

Gradient matching methods for computational inference in mechanistic models for systems biology: a review and comparative analysis [PDF]

, 2015
Parameter inference in mathematical models of biological pathways, expressed as coupled ordinary differential equations (ODEs), is a challenging problem in contemporary systems biology.
Husmeier, Dirk, Macdonald, Benn
core   +2 more sources

Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study

Cardiovascular Diabetology, 2023
Background The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear.
Rihua Huang, Xinghao Xu, Chaoguang Xu, Shaozhao Zhang, Zhenyu Xiong, Menghui Liu, Yiquan Huang, Han Wen, Yue Guo, Xinxue Liao, Xiaodong Zhuang   +10 more
doaj   +1 more source