The Use of Spline, Bayesian Spline and Penalized Bayesian Spline Regression for Modeling
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]
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. +4 more
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M-type penalized splines with auxiliary scale estimation [PDF]
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
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Nonparametric Bayesian hazard rate models based on penalized splines [PDF]
Extensions of the traditional Cox proportional hazard model, concerning the following features are often desirable in applications: Simultaneous nonparametric estimation of baseline hazard and usual fixed covariate effects, modelling and detection of ...
Fahrmeir, Ludwig, Hennerfeind, Andrea
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Continuous Ordinal Regression for Analysis of Visual Analogue Scales: The R Package ordinalCont
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 +2 more
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Primary gross tumor volume is prognostic and suggests treatment in upper esophageal cancer
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 +12 more
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Spline-based self-controlled case series method [PDF]
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 +15 more
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Parametrization and penalties in spline models with an application to survival analysis [PDF]
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) +1 more
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Variable Selection and Model Choice in Geoadditive Regression Models [PDF]
Model choice and variable selection are issues of major concern in practical regression analyses. We propose a boosting procedure that facilitates both tasks in a class of complex geoadditive regression models comprising spatial effects, nonparametric ...
Hothorn, Torsten +2 more
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A time series analysis of meteorological factors and hospital outpatient admissions for cardiovascular disease in the Northern district of Guizhou Province, China [PDF]
Findings on the effects of weather on health, especially the effects of ambient temperature on overall morbidity, remain inconsistent. We conducted a time series study to examine the acute effects of meteorological factors (mainly air temperature) on ...
Y. Jie +4 more
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