skip to content
Longitudinal data analysis : autoregressive linear mixed effects models Preview this item
ClosePreview this item
Checking...

Longitudinal data analysis : autoregressive linear mixed effects models

Author: Ikuko Funatogawa; Takashi Funatogawa
Publisher: Singapore : Springer, 2018.
Series: SpringerBriefs in statistics., JSS research series in statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the introduction of the auto-regression term. Response levels in this model  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ikuko Funatogawa; Takashi Funatogawa
ISBN: 9789811000775 9811000778 981100076X 9789811000768 9789811000782 9811000786
OCLC Number: 1085492344
Description: 1 online resource (x, 141 pages) : illustrations
Contents: Chapter 1. Linear mixed effects model --
Chapter 2. Autoregressive linear mixed effects model --
Chapter 3. Bivariate longitudinal data --
Chapter 4. State-space representation --
Chapter 5. Missing data, time dependent covariate --
Chapter 6. Pretest-Posttest data.
Series Title: SpringerBriefs in statistics., JSS research series in statistics.
Responsibility: Ikuko Funatogawa, Takashi Funatogawa.

Abstract:

The book provides relationships of the autoregressive linear mixed effects models with linear mixed effects models, marginal models, transition models, nonlinear mixed effects models, growth curves,  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Related Subjects:(1)

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1085492344> # Longitudinal data analysis : autoregressive linear mixed effects models
    a schema:MediaObject, schema:Book, schema:CreativeWork ;
    library:oclcnum "1085492344" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/si> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/8926387642#Topic/longitudinal_method> ; # Longitudinal method
    schema:about <http://dewey.info/class/519.535/e23/> ;
    schema:author <http://experiment.worldcat.org/entity/work/data/8926387642#Person/funatogawa_ikuko> ; # Ikuko Funatogawa
    schema:author <http://experiment.worldcat.org/entity/work/data/8926387642#Person/funatogawa_takashi> ; # Takashi Funatogawa
    schema:bookFormat schema:EBook ;
    schema:datePublished "2018" ;
    schema:description "Chapter 1. Linear mixed effects model -- Chapter 2. Autoregressive linear mixed effects model -- Chapter 3. Bivariate longitudinal data -- Chapter 4. State-space representation -- Chapter 5. Missing data, time dependent covariate -- Chapter 6. Pretest-Posttest data."@en ;
    schema:description "This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the introduction of the auto-regression term. Response levels in this model gradually move toward an asymptote or equilibrium which depends on covariates and random effects. The book provides relationships of the autoregressive linear mixed effects models with linear mixed effects models, marginal models, transition models, nonlinear mixed effects models, growth curves, differential equations, and state space representation. State space representation with a modified Kalman filter provides log likelihoods for maximum likelihood estimation, and this representation is suitable for unequally spaced longitudinal data. The extension to multivariate longitudinal data analysis is also provided. Topics in medical fields, such as response-dependent dose modifications, response-dependent dropouts, and randomized controlled trials are discussed. The text is written in plain terms understandable for researchers in other disciplines such as econometrics, sociology, and ecology for the progress of interdisciplinary research."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/8926387642> ;
    schema:genre "Electronic books"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://worldcat.org/issn/2364-0057> ; # JSS research series in statistics,
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/8926387642#Series/springerbriefs_in_statistics> ; # SpringerBriefs in statistics.
    schema:isSimilarTo <http://worldcat.org/entity/work/data/8926387642#CreativeWork/> ;
    schema:name "Longitudinal data analysis : autoregressive linear mixed effects models"@en ;
    schema:productID "1085492344" ;
    schema:url <http://ezsecureaccess.balamand.edu.lb/login?url=https://doi.org/10.1007/978-981-10-0077-5> ;
    schema:url <https://doi.org/10.1007/978-981-10-0077-5> ;
    schema:url <https://link.springer.com/10.1007/978-981-10-0077-5> ;
    schema:url <https://link.springer.com/book/10.1007/978-981-10-0077-5> ;
    schema:workExample <http://worldcat.org/isbn/9789811000782> ;
    schema:workExample <http://worldcat.org/isbn/9789811000775> ;
    schema:workExample <http://dx.doi.org/10.1007/978-981-10-0077-5> ;
    schema:workExample <http://worldcat.org/isbn/9789811000768> ;
    umbel:isLike <http://bnb.data.bl.uk/id/resource/GBB966461> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1085492344> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/8926387642#Person/funatogawa_ikuko> # Ikuko Funatogawa
    a schema:Person ;
    schema:familyName "Funatogawa" ;
    schema:givenName "Ikuko" ;
    schema:name "Ikuko Funatogawa" ;
    .

<http://experiment.worldcat.org/entity/work/data/8926387642#Person/funatogawa_takashi> # Takashi Funatogawa
    a schema:Person ;
    schema:familyName "Funatogawa" ;
    schema:givenName "Takashi" ;
    schema:name "Takashi Funatogawa" ;
    .

<http://experiment.worldcat.org/entity/work/data/8926387642#Series/springerbriefs_in_statistics> # SpringerBriefs in statistics.
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/1085492344> ; # Longitudinal data analysis : autoregressive linear mixed effects models
    schema:name "SpringerBriefs in statistics." ;
    schema:name "SpringerBriefs in statistics" ;
    .

<http://experiment.worldcat.org/entity/work/data/8926387642#Topic/longitudinal_method> # Longitudinal method
    a schema:Intangible ;
    schema:name "Longitudinal method"@en ;
    .

<http://worldcat.org/entity/work/data/8926387642#CreativeWork/>
    a schema:CreativeWork ;
    schema:description "Printed edition:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/1085492344> ; # Longitudinal data analysis : autoregressive linear mixed effects models
    .

<http://worldcat.org/isbn/9789811000768>
    a schema:ProductModel ;
    schema:isbn "981100076X" ;
    schema:isbn "9789811000768" ;
    .

<http://worldcat.org/isbn/9789811000775>
    a schema:ProductModel ;
    schema:isbn "9811000778" ;
    schema:isbn "9789811000775" ;
    .

<http://worldcat.org/isbn/9789811000782>
    a schema:ProductModel ;
    schema:isbn "9811000786" ;
    schema:isbn "9789811000782" ;
    .

<http://worldcat.org/issn/2364-0057> # JSS research series in statistics,
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/1085492344> ; # Longitudinal data analysis : autoregressive linear mixed effects models
    schema:issn "2364-0057" ;
    schema:name "JSS research series in statistics," ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.