Linear Mixed Models for Longitudinal Data:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2000
|
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The dissemination of the MIXED procedure in SAS and related software have provided a whole class of linear mixed-e?ects models, some of which with a long history, for routine use. Experience shows that both the ideas behind the techniques and their software implementation are not at all straightforward,andusersfromvariousappliedbackgroundsoftenencou- erdi?cultiesinusingthemethodologye?ectively. Coursesandconsultancy in this domain have been in great demand over the last decade, illustrating the clear need for resource material to aid the user. As an outgrowth of such courses, Verbeke and Molenberghs (1997) was - tended as a contribution to bridging this gap. Since its appearance, it has been the basis for several short and regular courses in academia and - dustry. In the meantime, many research papers on these and related topics haveappearedinthestatisticalliterature. Therefore,itisconsideredtimely topresentasecond,entirelyrecastversion. MaterialkeptfromVerbekeand Molenberghs (1997) has been reworked, and a large range of new topics has been added. The structure of the book re?ects not only our own research activity but also our experience in teaching various applied longitudinal modeling courses, such as the Longitudinal Data Analysis course in the Master of Science in Biostatistics Programme of the Limburgs Universitair Centrum, the Repeated Measures course in the International Study P- gramme in Statistics of the Katholieke Universiteit Leuven, and the Topics in Biostatistics course at the Universiteit Antwerpen. viii Preface As with the ?rst version, we hope this book will be of value to a wide audience, including applied statisticians and biomedical researchers, p- ticularlyinthepharmaceuticalindustry,medicalandpublichealthresearch organizations, contract research organizations, and academic departments |
| Beschreibung: | 1 Online-Ressource (XXII, 568 p) |
| ISBN: | 9780387227757 9780387950273 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/b98969 |
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| isbn | 9780387227757 9780387950273 |
| issn | 0172-7397 |
| language | English |
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| spelling | Verbeke, Geert Verfasser aut Linear Mixed Models for Longitudinal Data by Geert Verbeke, Geert Molenberghs New York, NY Springer New York 2000 1 Online-Ressource (XXII, 568 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 The dissemination of the MIXED procedure in SAS and related software have provided a whole class of linear mixed-e?ects models, some of which with a long history, for routine use. Experience shows that both the ideas behind the techniques and their software implementation are not at all straightforward,andusersfromvariousappliedbackgroundsoftenencou- erdi?cultiesinusingthemethodologye?ectively. Coursesandconsultancy in this domain have been in great demand over the last decade, illustrating the clear need for resource material to aid the user. As an outgrowth of such courses, Verbeke and Molenberghs (1997) was - tended as a contribution to bridging this gap. Since its appearance, it has been the basis for several short and regular courses in academia and - dustry. In the meantime, many research papers on these and related topics haveappearedinthestatisticalliterature. Therefore,itisconsideredtimely topresentasecond,entirelyrecastversion. MaterialkeptfromVerbekeand Molenberghs (1997) has been reworked, and a large range of new topics has been added. The structure of the book re?ects not only our own research activity but also our experience in teaching various applied longitudinal modeling courses, such as the Longitudinal Data Analysis course in the Master of Science in Biostatistics Programme of the Limburgs Universitair Centrum, the Repeated Measures course in the International Study P- gramme in Statistics of the Katholieke Universiteit Leuven, and the Topics in Biostatistics course at the Universiteit Antwerpen. viii Preface As with the ?rst version, we hope this book will be of value to a wide audience, including applied statisticians and biomedical researchers, p- ticularlyinthepharmaceuticalindustry,medicalandpublichealthresearch organizations, contract research organizations, and academic departments Statistics Mathematical statistics Statistical Theory and Methods Statistik Lineares Modell (DE-588)4134827-8 gnd rswk-swf Statistischer Test (DE-588)4077852-6 gnd rswk-swf Gemischtes Modell (DE-588)4156565-4 gnd rswk-swf Lineares Modell (DE-588)4134827-8 s Gemischtes Modell (DE-588)4156565-4 s Statistischer Test (DE-588)4077852-6 s 1\p DE-604 Molenberghs, Geert Sonstige oth https://doi.org/10.1007/b98969 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Verbeke, Geert Linear Mixed Models for Longitudinal Data Statistics Mathematical statistics Statistical Theory and Methods Statistik Lineares Modell (DE-588)4134827-8 gnd Statistischer Test (DE-588)4077852-6 gnd Gemischtes Modell (DE-588)4156565-4 gnd |
| subject_GND | (DE-588)4134827-8 (DE-588)4077852-6 (DE-588)4156565-4 |
| title | Linear Mixed Models for Longitudinal Data |
| title_auth | Linear Mixed Models for Longitudinal Data |
| title_exact_search | Linear Mixed Models for Longitudinal Data |
| title_full | Linear Mixed Models for Longitudinal Data by Geert Verbeke, Geert Molenberghs |
| title_fullStr | Linear Mixed Models for Longitudinal Data by Geert Verbeke, Geert Molenberghs |
| title_full_unstemmed | Linear Mixed Models for Longitudinal Data by Geert Verbeke, Geert Molenberghs |
| title_short | Linear Mixed Models for Longitudinal Data |
| title_sort | linear mixed models for longitudinal data |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistik Lineares Modell (DE-588)4134827-8 gnd Statistischer Test (DE-588)4077852-6 gnd Gemischtes Modell (DE-588)4156565-4 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistik Lineares Modell Statistischer Test Gemischtes Modell |
| url | https://doi.org/10.1007/b98969 |
| work_keys_str_mv | AT verbekegeert linearmixedmodelsforlongitudinaldata AT molenberghsgeert linearmixedmodelsforlongitudinaldata |