TITLE

Functional data analysis in longitudinal settings using smoothing splines

AUTHOR(S)
Wensheng Guo
PUB. DATE
February 2004
SOURCE
Statistical Methods in Medical Research;Feb2004, Vol. 13 Issue 1, p49
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Data in many experiments arise as curves and therefore it is natural to use a curve as a basic unit in the analysis, which is termed functional data analysis (FDA). In longitudinal studies, recent developments in FDAhave extended classical linear models and linear mixed effects models to functional linear models (also termed varying-coefficient models) and functional mixed effects models. In this paper we focus our review on the functional mixed effects models using smoothing splines, because functional linear models are special cases of this more general framework. Due to the connection between smoothing splines and linear mixed effects models, functional mixed effects models can be fitted using existing software such as SAS Proc Mixed. A case study is presented as an illustration.
ACCESSION #
12087808

 

Related Articles

  • Minerva.  // BMJ: British Medical Journal (International Edition);11/30/96, Vol. 313 Issue 7069, p1412 

    Presents reports of medical studies. Includes the use of thrombolytic drugs for treating cardiac arrest after cardiopulmonary resuscitation; Prevalence of paralytic poliomyelitis in Pakistan; Consideration of elderly donors by United States surgeons due to shortage of donor organs; Feasibility...

  • Statistics and ethics in medical research. Altman, Douglas G. // British Medical Journal;11/22/1980, Vol. 281 Issue 6252, p1399 

    Focuses on the importance of collecting and screening data on medical research. Limitations in data collection; Details on the random allocation of subjects; Application of logarithmic transformation in medical research.

  • Medicine and multimedia. Freemantle, Nick // BMJ: British Medical Journal (International Edition);01/10/98, Vol. 316 Issue 7125, p159 

    Presents information about Arcus Quickstat computer statistical package developed by Iain Buchan. Details on Arcus Quickstat; Its features and functions; Web site.

  • Bruker unveils ParaVision 6 preclinical MRI software.  // Medical Device Daily;9/20/2013, Vol. 17 Issue 182, p5 

    The article offers information on the ParaVision 6 preclinical magnetic resonance imaging (MRI) software from Bruker.

  • Medical research output 1973-81: a romp around the United Kingdom research centres. Wakeford, Richard; Adams, Robin // British Medical Journal (Clinical Research Edition);1/28/1984, Vol. 288 Issue 6413, p297 

    Examines the use of the database of Excerpta Medica to measure the output of medical research in Great Britain. Changes in the research outputs in research centers; Increase in the proportion of clinical papers; Necessity to devise a measurement of the importance of each paper.

  • Bioalma Launches novo|seek PubMed Search Tool. DAVIES, KEVIN // Bio-IT World;May2009, Vol. 8 Issue 3, p29 

    The article reviews the search tool for biomedical records called novo/seek from Bioalma.

  • Low-Complexity Inverse Square Root Approximation for Baseband Matrix Operations. Salmela, Perttu; Burian, Adrian; J√§rvinen, Tuomas; Happonen, Aki; Takala, Jarmo Henrik // ISRN Signal Processing;2011, Special section p1 

    Baseband functions like channel estimation and symbol detection of sophisticated telecommunications systems require matrix operations, which apply highly nonlinear operations like division or square root. In this paper, a scalable low-complexity approximation method of the inverse square root is...

  • VARIABLE CONCENTRATION OF AGAROSE GELS AND DISTINCT APPLICABILITY CRITERIA. Angelina, Zachariou; Spyridon, Pandis; Aristea, Velegraki; Kambouris Manousos E. // e-Journal of Science & Technology;2014, Vol. 4 Issue 2, p13 

    The purpose of this experiment was to study the discriminatory capacity and other functional parameters of varying agarose gel concentrations, and to create a documented classification according to concentration and ability to separate DNA fragments of various sizes with analytical efficiency....

  • ErmineJ: Tool for functional analysis of gene expression data sets. Lee, Homin K.; Braynen, William; Keshav, Kiran; Pavlidis, Paul // BMC Bioinformatics;2005, Vol. 6, p269 

    Background: It is common for the results of a microarray study to be analyzed in the context of biologically-motivated groups of genes such as pathways or Gene Ontology categories. The most common method for such analysis uses the hypergeometric distribution (or a related technique) to look for...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics