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010 _a 2021762625
020 _a9781315153636
_qelectronic book
020 _a1315153637
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020 _a9781351649674
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020 _a1351649671
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020 _a9781351640176
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020 _a9781498764629
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020 _z9781498764605
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020 _z1498764606
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035 _a(OCoLC)1273731868
037 _a9781315153636
_bTaylor & Francis
040 _aTYFRS
_beng
_erda
_epn
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042 _alccopycat
050 0 0 _aQA278.2.W36 2022
072 7 _aMAT
_x029000
_2bisacsh
100 1 _aWang, You-Gan,
_eauthor.
245 1 0 _aAnalysis of longitudinal data with examples /
_cYou-Gan Wang, Liya Fu, Sudhir Paul.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2022.
264 4 _c©2022
300 _axxv,225p.
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aDevelopment in methodology on longitudinal data is fast. Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. This book will present a discussion of the modern approaches to inference, including the links between the theories of estimators and various types of efficient statistical models including likelihood-based approaches. The theory will be supported with practical examples of R-codes and R-packages applied to interesting case-studies from a number of different areas. Key Features: Includes the most up-to-date methods Use simple examples to demonstrate complex methods Uses real data from a number of areas Examples utilize R code
545 0 _aProfessor Wang obtained his Ph. D. on dynamic optimization in 1991 (University of Oxford) and worked for CSIRO (2005-2010). Before returning to Australia, Professor Wang worked for the National University of Singapore (2001-2005) and Harvard University as Assistant Professor and Associate Professor (1998-2000) in biostatistics. He joined the University of Queensland in April 2010 as Chair Professor of Applied Statistics to lead the Centre for Applications in Natural Resource Mathematics and to promote applied statistics and mathematics. Currently, he is Capacity Building Professor in Data Science at Queensland University of Technology, Australia. Professor Wang has developed a number of novel statistical methodologies in longitudinal data analysis published by top statistical journals (Biometrika, Biometrics, Statistics in Medicine, Journal of the American Statistician Association, Annals of Statistics). His recent interests and successes include (1) 'working' likelihood approach for hyperparameter estimation and model selection, (2) integrating statistical learning and machine learning for dependent data analysis and (3) data-driven approach for robust estimation. More recently, he advocates 'working' likelihood approaches to parameter estimation but recognizing possibly a different likelihood that generating the observed data in inferencing. This has been found very useful in finding datadependent tuning parameters in robust estimation and hyper-parameters in machine learning algorithms. Liya Fu obtained her Ph. D. in 2010 from Northeast Normal University. Currently she is Associate Professor of Statistics at Xi'an Jiaotong University. She worked briefly as a Postdoctoral Fellow at the University of Queensland after after two-years visiting student at CSIRO (2008-010), Australia. Dr. Fu mainly focuses on the methodologies for the analysis of longitudinal data and has published about 20 papers in international journals, including Biometrics, Statistics in Medicine, Journal of Multivariate Analysis. Professor Sudhir Paul obtained his PhD in 1976 (University of Wales). He worked as a Postdoctoral Fellow (University of Newcastle Upon Tyne, 1976- 1978) and a Lecturer (University of Kent at Canterbury, 1978-1982) before moving to Canada in 1982. He started as Assistant Professor at the University of Windsor and moved through all professorial ranks and finally in 2005 became distinguished University Professor. He became Fellow of the Royal Statistical Society in 1982 and Fellow of the American Statistical Association in 1986. Professor Paul has developed many methodologies for the analyses of overdispersed and zero-inflated count data, longitudinal data, and familial data and published in most of the top-tier journals in statistics (Journal of the Royal Statistical Society, Biometrika, Biometrics, Journal of the American Statistician Association, Technometrics). Professor Paul supervised over 50 graduate students including 16 PhD students and has published over 100 papers.
588 _aDescription based on online resource; title from digital title page (viewed on May 25, 2022).
650 0 _aLongitudinal method.
650 0 _aCorrelation (Statistics)
650 2 _aLongitudinal Studies
650 6 _aMéthode longitudinale.
650 6 _aCorrélation (Statistique)
650 7 _acorrelation.
_2aat
650 7 _aMATHEMATICS
_xProbability & Statistics
_xGeneral.
_2bisacsh
650 7 _aCorrelation (Statistics)
_2fast
_0(OCoLC)fst00880312
650 7 _aLongitudinal method.
_2fast
_0(OCoLC)fst01002409
700 1 _aFu, Liya,
_eauthor.
700 1 _aPaul, Sudhir,
_eauthor.
776 0 8 _iPrint version:
_aWang, You-Gan.
_tAnalysis of longitudinal data by example.
_dBoca Raton : Chapman & Hall/CRC, 2019
_z9781498764605
_w(OCoLC)1112376570
906 _a7
_bcbc
_ccopycat
_d1
_eecip
_f20
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942 _2lcc
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999 _c2465
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