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Linear mixed effects model for longitudinal data with non - random dropout / (Record no. 8148)

MARC details
000 -LEADER
fixed length control field 029950000a22003490004500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GICUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223025219.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 091106s2004 ua f m 000 00eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GICUC
Language of cataloging eng
Transcribing agency EG-GICUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title Eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.03.01.M.Sc.2004.No.L.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Noha Ahmed Mohamed Youssef
245 10 - TITLE STATEMENT
Title Linear mixed effects model for longitudinal data with non - random dropout /
Statement of responsibility, etc. Noha Ahmed Mohamed Youssef ; supervised Maged Osman , Thanaa Esmail
246 15 - VARYING FORM OF TITLE
Title proper/short title النماذج الخطية ذات المؤثرات المختلطة للبيانات الطولية فى وجود قيم مفقودة نهائيا بصورة غير عشوائية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Noha Ahmed Mohamed Youssef ,
Date of publication, distribution, etc. 2004
300 ## - PHYSICAL DESCRIPTION
Extent 89L ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty Of Economics and Political Science - Department Of Statistics
520 ## - SUMMARY, ETC.
Summary, etc. Longitudinal studies represent one of the principal research strategies employed in medical and social researchThey are the most appropriate studies for studying individual change through timeNon - random dropout is a common phenomenon associated with this type of dataLinear mixed effects model has been used for fitting longitudinal data in the presence of non - random dropoutIt offers a powerful tool for analyzing longitudinal dataIt gives us information about within individual variation and between individuals variationStandard methods of maximum likelihood estimation are intractable in the current setting , especially when missing data mechanism is taken into consideration , which means incorporating a model for the dropout mechanismThis incorporation increases the number of parameters needs to be estimatedThe selection model proposed by Diggle and Kenward (1994) has been followed in this study to model the dropout processIn this thesis , the stochastic EM algorithm has been applied for the first time to obtain the maximum likelihood estimates of the linear mixed effects model parameters in the case of non - random dropout besides the maximum likelihood estimates of the parameters that control the dropout processSince the result of this algorithm is a Markov chain , three methods of monitoring convergence have been used to assess convergence , which are Gelman and Rubin's method (1982) , Yu and Mykland's method (1998) and Brooks' method (1998) The bootstrap method has been used to compute the standard errors for the parameters estimatesAll these methods are applied to two real data sets
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Linear mixed effects model
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Longitudinal Data
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Missing data ; Non - random dropout
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term The Expectation Maximization algorithm
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Maged Osman ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Thanaa Esmail ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Enas
Reviser Cataloger
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Mustafa
Reviser Revisor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.03.01.M.Sc.2004.No.L. 01010110043361000 22.09.2023 Thesis
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.03.01.M.Sc.2004.No.L. 01020110043361000 22.09.2023 CD - Rom