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9780199676750

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`The book is readable, well-written, and amply illustrated ' Technometrics, August 1995 (previous edition) `It belongs in the possession of every statistician who encouters longitudinal data.' Journal of the American Statistical Association `. . . provides an excellent bridge between novel concepts in theoretical statistics and their potential use in applied research.' Statistics in Medicine `The topics covered are too numerous to dwell on here ... If your work involves longitudinal data and you wish to update, this book will serve you very well. As a quick look-up, it is very useful.' Pharmaceutical Statistics `The authors conclude each chapter with a helpful summary or conclusion, often indicating further reading. Helpfully, they also mention the topics that they have chosen not to present, together with other recommended books for you to follow up ... They have also chosen a good selection of examples, many of them medical, with which the various methods are clearly illustrated.' Pharmaceutical Statistics `Readers with interests across a wide spectrum of application areas will find the ideas relevant and interesting ... The book is readable and well written ... It belongs to the possession of every statistician who encounters longitudinal data.' Zentralblatt MATH

The book is readable, well-written, and amply illustrated Technometrics, August 1995 (previous edition) It belongs in the possession of every statistician who encouters longitudinal data. Journal of the American Statistical Association ... provides an excellent bridge between novel concepts in theoretical statistics and their potential use in applied research. Statistics in Medicine The topics covered are too numerous to dwell on here ... If your work involves longitudinal data and you wish to update, this book will serve you very well. As a quick look-up, it is very useful. Pharmaceutical Statistics The authors conclude each chapter with a helpful summary or conclusion, often indicating further reading. Helpfully, they also mention the topics that they have chosen not to present, together with other recommended books for you to follow up ... They have also chosen a good selection of examples, many of them medical, with which the various methods are clearly illustrated. Pharmaceutical Statistics Readers with interests across a wide spectrum of application areas will find the ideas relevant and interesting ... The book is readable and well written ... It belongs to the possession of every statistician who encounters longitudinal data. Zentralblatt MATH

Readers with interests across a wide spectrum of application areas will find the ideas relevant and interesting ... The book is readable and well written ... It belongs to the possession of every statistician who encounters longitudinal data. * Zentralblatt MATH * The authors conclude each chapter with a helpful summary or conclusion, often indicating further reading. Helpfully, they also mention the topics that they have chosen not to present, together with other recommended books for you to follow up ... They have also chosen a good selection of examples, many of them medical, with which the various methods are clearly illustrated. * Pharmaceutical Statistics * The topics covered are too numerous to dwell on here ... If your work involves longitudinal data and you wish to update, this book will serve you very well. As a quick look-up, it is very useful. * Pharmaceutical Statistics * . . . provides an excellent bridge between novel concepts in theoretical statistics and their potential use in applied research. * Statistics in Medicine * It belongs in the possession of every statistician who encouters longitudinal data. * Journal of the American Statistical Association * The book is readable, well-written, and amply illustrated * Technometrics, August 1995 (previous edition) *

Author Information

Peter Diggle, Department of Mathematics and Statistics, University of Lancaster Patrick Heagerty, Biostatistics department University of Washington Kung-Yee Liang, Biostatistics department, Johns Hopkins University Scott Zeger, Biostatistics department, Johns Hopkins University

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