Linear Mixed Models in Practice

Geert Molenberghs

ISBN 10: 0387982221 / ISBN 13: 9780387982229

Verlag: Springer New York, Springer US Aug 1997, 1997

Beschreibung

Neuware -The dissemination of the MIXED procedure in SAS has provided a whole class of statistical models for routine use. We believe that both the ideas be hind the techniques and their implementation in SAS are not at all straight forward and users from various applied backgrounds, including the phar maceutical industry, have experienced difficulties in using the procedure effectively. Courses and consultancy on PROC MIXED have been in great demand in recent years, illustrating the clear need for resource material to aid the user. This book is intended as a contribution to bridging this gap. We hope the book will be of value to a wide audience, including applied statisticians and many biomedical researchers, particularly in the pharma ceutical industry, medical and public health research organizations, con tract research organizations, and academic departments. This implies that our book is explanatory rather than research oriented and that it empha sizes practice rather than mathematical rigor. In this respect, clear guidance and advice on practical issues are the main focus of the text. Nevertheless, this does not imply that more advanced topics have been avoided. Sections containing material of a deeper level have been sign posted by means of an asterisk.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 328 pp. Englisch.

Bestandsnummer des Verkäufers 9780387982229

Bibliografische Details

• Titel: Linear Mixed Models in Practice
• Verlag: Springer New York, Springer US Aug 1997
• Erscheinungsjahr: 1997
• Sprache: Englisch
• ISBN-10: 0387982221
• ISBN-13: 9780387982229
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 18 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 18 mm
• Gewicht: 499 Gramm

Über diesen Titel

Inhaltsangabe

A comprehensive treatment of linear mixed models, focusing on examples from designed experiments and longitudinal studies. Aimed at applied statisticians and biomedical researchers in industry, public health organisations, contract research organisations, and academia, this book is explanatory rather than mathematical rigorous. Although most analyses were done with the MIXED procedure of the SAS software package, and many of its features are clearly elucidated, considerable effort was put into presenting the data analyses in a software-independent fashion.