000			02767cam a22003618i 4500
999			_c106632 _d106632
001			20741481
003			OSt
005			20201007105736.0
008			181113s2019 enk b 001 0 eng
010			_a
020			_a9781108727761 (pbk. : alk. paper)
040			_aDLC _beng _erda _cDLC
042			_apcc
082	0	0	_a519.538 TWI
100	1		_aTwisk, Jos W. R., _d1962- _eauthor.
245	1	0	_aApplied mixed model analysis : _ba practical guide / _cJos W.R. Twisk (University of Amsterdam).
263			_a1903
264		1	_aCambridge ; _aNew York, NY : _bCambridge University Press, _c2019.
300			_axii, 235 pages. _b24cm.
336			_atext _btxt _2rdacontent
490	0		_aPractical guides to biostatistics and epidemiology
500			_aContinues, in part: Applied multilevel analysis : a practical guide (Cambridge, UK ; New York : Cambridge University Press, 2006). GPB 44.99/-
504			_aIncludes bibliographical references and index.
505			_a1. Introduction; 2. Basic principles of mixed model analysis; 3. What is gained by using mixed model analysis?; 4. Logistic mixed model analysis; 5. Mixed model analysis with other outcomes; 6. Explaining differences between groups; 7. Multivariable modelling; 8. Predictions based on mixed model analysis; 9. Mixed model analysis for longitudinal data; 10. Multivariate mixed model analysis; 11. Sample size calculations; 12. Some loose ends
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.
700	1		_aTwisk, Jos W. R., _d1962- _tApplied multilevel analysis.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK