Results 31 to 40 of about 4,500 (154)

Quantifying spatial disparities in neonatal mortality using a structured additive regression model. [PDF]

PLoS ONE, 2010
BACKGROUND: Neonatal mortality contributes a large proportion towards early childhood mortality in developing countries, with considerable geographical variation at small areas within countries.
Lawrence N Kazembe, Placid M G Mpeketula
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Application of Penalized Splines in Analyzing Neuronal Data [PDF]

Biometrical Journal, 2009
AbstractNeuron experiments produce high‐dimensional data structures. Therefore, application of smoothing techniques in the analysis of neuronal data from electrophysiological experiments has received considerable attention of late. We investigate the use of penalized splines in the analysis of neuronal data. This is first illustrated when interested in
MARINGWA, John, FAES, Christel, GEYS, Helena, MOLENBERGHS, Geert, Cadarso-Suarez, Carmen, Pardo-Vazquez, Jose L., Leboran, Victor, Acuna, Carlos   +7 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
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The use of spline, Bayesian spline and penalized Bayesian spline regression for modeling

, 2021
Splayn, cezalandırılmış splayn ve Bayesyen splayn olarak adlandırılan parametrik olmayan regresyon yöntemleri modellemede esneklik ve sabit bir modele bağlı olmamak gibi büyük avantajlar sağlar. Cezalandırılmış splayn regresyon, parametrik olmayan splayn düzeltme düşüncesini kullanır.
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On the asymptotics of penalized spline smoothing

Electronic Journal of Statistics, 2011
This paper performs an asymptotic analysis of penalized spline estimators. We compare P-splines and splines with a penalty of the type used with smoothing splines. The asymptotic rates of the supremum norm of the difference between these two estimators over compact subsets of the interior and over the entire interval are established. It is shown that a
Wang, Xiao, Shen, Jinglai, Ruppert, David   +2 more
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Smoothness Selection for Penalized Quantile Regression Splines [PDF]

The International Journal of Biostatistics, 2012
Modern data-rich analyses may call for fitting a large number of nonparametric quantile regressions. For example, growth charts may be constructed for each of a collection of variables, to identify those for which individuals with a disorder tend to fall in the tails of their age-specific distribution; such variables might serve as developmental ...
Philip T, Reiss, Lei, Huang
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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
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LASSO type Penalized Spline Regression for Binary Data [PDF]

BMC Medical Research Methodology, 2020
Abstract Background: Generalized linear mixed models (GLMMs), typically used for analyzing correlated data, can also be used for smoothing by considering the knot coefficients from a regression spline as random effects. The resulting models are called semiparametric mixed models (SPMMs).
Muhammad Abu Shadeque Mullah, James A. Hanley, Andrea Benedetti   +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]

Brazilian Journal of Medical and Biological Research, 2014
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, H. Houjin, Y. Mengxue, Q. Wei, X. Jie   +4 more
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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
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