A functional marked point process model for lupus data

被引：5

作者：

Fok, Carlotta Ching Ting ^{[1
,2
]}

Ramsay, James O. ^{[3
]}

Abrahamowicz, Michal ^{[4
]}

Fortin, Paul ^{[5
]}

机构：

[1] Univ Alaska Fairbanks, Dept Psychol, Fairbanks, AK 99775 USA

[2] Univ Alaska Fairbanks, Ctr Alaska Native Hlth Res, Inst Arctic Biol, Fairbanks, AK 99775 USA

[3] McGill Univ, Ottawa, ON K2B 6W9, Canada

[4] McGill Univ, Res Inst, Ctr Hlth, Montreal, PQ H3H 2R9, Canada

[5] Toronto Western Res Inst, Arthrit Soc, Toronto, ON, Canada

来源：

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 2012年 / 40卷 / 03期

关键词：

Frequency function; functional data analysis; inhomogeneous Poisson process; lupus flares; marked point process; mark variable; point process; SLEDAI score; MSC 2010: Primary 60G55; secondary; 62P10;

D O I：

10.1002/cjs.11136

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Modelling for marked point processes is an important problem, but has received remarkably little attention in the statistical literature. The authors developed a marked point process model that incorporates the use of functional data analysis in a joint estimation of the frequency function of the point process and the intensity of the mark, with application to data from 22 lupus patients consisting of times of flares in symptom severity combined with a quantitative assessment of the severity. The data indicate that a rapid decrease in drug dose is significantly associated with a decrease in flare frequency. Experiments with simulated data designed to model the actual data further support this conclusion. The Canadian Journal of Statistics 40: 517529; 2012 (c) 2012 Statistical Society of Canada

引用

页码：517 / 529

页数：13

共 50 条

[1] A stochastic marked point process model for earthquakes
Holden, L.
Sannan, S.
Bungum, H.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2003, 3 (1-2) : 95 - 101
[2] SURVIVAL ANALYSIS ON PEDIGREES: A MARKED POINT PROCESS MODEL
Macdonald, Angus S.
ASTIN BULLETIN, 2010, 40 (01): : 35 - 64
[3] Marked Point Process Model for Curvilinear Structures Extraction
Jeong, Seong-Gyun
Tarabalka, Yuliya
Zerubia, Josiane
ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION, EMMCVPR 2015, 2015, 8932 : 436 - 449
[4] MARKED POINT PROCESS MODEL FOR FACIAL WRINKLE DETECTION
Jeong, Seong-Gyun
Tarabalka, Yuliya
Zerubia, Josiane
2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 1391 - 1394
[5] Crack Detection Based on a Marked Point Process Model
Vandoni, Jennifer
Le Hegarat-Mascle, Sylvie
Aldea, Emanuel
2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, : 3933 - 3938
[6] A Marked Point Process Model For Visual Perceptual Groups Extraction
Mbarki, Amal
Naouai, Mohamed
2020 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2020, : 511 - 514
[7] Design as a Marked Point Process
Quigley, John
Vasantha, Gokula
Corney, Jonathan
Purves, David
Sherlock, Andrew
JOURNAL OF MECHANICAL DESIGN, 2022, 144 (02)
[8] A marked point process model for tree crown extraction in plantations
Perrin, G
Descombes, X
Zerubia, J
2005 International Conference on Image Processing (ICIP), Vols 1-5, 2005, : 709 - 712
[9] Building Extraction from LIDAR Point Cloud Data Using Marked Point Process
Quanhua Zhao
Yu Li
Xiaojun He
Journal of the Indian Society of Remote Sensing, 2014, 42 : 529 - 538
[10] Building Extraction from LIDAR Point Cloud Data Using Marked Point Process
Zhao, Quanhua
Li, Yu
He, Xiaojun
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2014, 42 (03) : 529 - 538

← 1 2 3 4 5 →