000 02383nam a2200397 i 4500
001 CR9781108635660
003 UkCbUP
005 20240807191837.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 180606s2019||||enk o ||1 0|eng|d
020 _a9781108635660 (ebook)
020 _z9781108480574 (hardback)
020 _z9781108727761 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA279
_b.T95 2019
082 0 0 _a519.5/38
_223
100 1 _aTwisk, Jos W. R.,
_d1962-
_eauthor.
245 1 0 _aApplied mixed model analysis :
_ba practical guide /
_cJos W. R. Twisk.
250 _aSecond edition.
264 1 _aCambridge :
_bCambridge University Press,
_c2019.
300 _a1 online resource (xii, 235 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _a Practical guides to biostatistics and epidemiology
500 _aTitle from publisher's bibliographic system (viewed on 15 May 2019).
520 _aThis practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields.
650 0 _aMedical statistics.
650 0 _aAnalysis of variance.
650 0 _aMathematical statistics.
776 0 8 _iPrint version:
_z9781108480574
830 0 _a Practical guides to biostatistics and epidemiology.
856 4 0 _uhttps://doi.org/10.1017/9781108635660
942 _2ddc
_cEB
999 _c9040
_d9040