Results 211 to 220 of about 82,789 (258)

Myofibre Density Reveals a Critical Threshold Around Age 6 in Steroid-Naïve Duchenne Muscular Dystrophy: A Retrospective Observational Study. [PDF]

Neuropathol Appl Neurobiol
Yamakado T, Ishikawa Y, Ise K, Wang L, Oda Y, Tsuda M, Kimura T, Nagao M, Ito M, Tanaka S, Tanei ZI.   +10 more
europepmc   +1 more source

Future impacts of colectomy healthcare pathways on quality of care in bundled payment experiments, a national retrospective cohort in France. [PDF]

PLoS One
Sanchez MA, Mercier G, Clément MC, Ortega-Deballon P, Sanchez S, Quantin C.   +5 more
europepmc   +1 more source

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Comparability of Segmented Line Regression Models

Biometrics, 2004
Summary Segmented line regression models, which are composed of continuous linear phases, have been applied to describe changes in rate trend patterns. In this article, we propose a procedure to compare two segmented line regression functions, specifically to test (i) whether the two segmented line regression functions are identical or (ii) whether the
Kim, Hyune-Ju, Fay, Michael P., Yu, Binbing, Barrett, Michael J., Feuer, Eric J.   +4 more
openaire   +5 more sources

Burr regression and portfolio segmentation

Insurance: Mathematics and Economics, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Beirlant, Jan, Goegebeur, Yuri, Verlaak, Robert, Vynckier, Petra   +3 more
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Random changepoint segmented regression with smooth transition

Statistical Methods in Medical Research, 2020
We consider random changepoint segmented regression models to analyse data from a study conducted to verify whether treatment with stem cells may delay the onset of a symptom of amyotrophic lateral sclerosis in genetically modified mice. The proposed models capture the biological aspects of the data, accommodating a smooth transition between the ...
Julio M Singer, Francisco MM Rocha, Antonio Carlos Pedroso-de-Lima, Giovani L Silva, Giuliana C Coatti, Mayana Zatz   +5 more
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Object segmentation with deep regression

2015 IEEE International Conference on Image Processing (ICIP), 2015
Object segmentation has constantly received much attention due to its fundamental role in scene understanding. Traditional methods formulate it as a structured prediction problem, represented by graphical models (GMs). However, most GMs have difficulties in balancing the effectiveness of context modeling and efficiency of model inference. In this paper,
Jianchao Li, Dan Wang, Canxiang Yan, Shiguang Shan   +3 more
openaire   +1 more source

Classification in segmented regression problems

Computational Statistics & Data Analysis, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Cathy W.S., Chan, Jennifer S.K., So, Mike K.P., Lee, Kevin K.M.   +3 more
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Logistic Regression-HSMM-based Heart Sound Segmentation

IEEE Transactions on Biomedical Engineering, 2015
The identification of the exact positions of the first and second heart sounds within a phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic analysis of heart sound recordings, allowing for the classification of pathological events.
David B, Springer, Lionel, Tarassenko, Gari D, Clifford   +2 more
openaire   +2 more sources