HULIN WU, PHD, is Professor of Biostatistics in the School of Medicine and Dentistry at the University of Rochester in the Departments of Medicine; Community and Preventative Medicine; and Biostatistics and Computational Biology. His research interests include longi-tudinal data, HIV/AIDS modeling, biomedical informatics, and clinical trials. JIN-TING ZHANG, PHD, is Assistant Professor in the Department of Statistics and Applied Probability at the National University of Singapore. His research interests include nonparametric regression and density estimation, nonparametric mixed-effects modeling, functional data analysis, and longitudinal data analysis, among others.

"The authors should be congratulated for their contribution…a nice addition to the personal collection of any statistician." (Journal of the American Statistical Association, June 2007) "...can serve as a textbook for both undergraduate and graduate students. Also it will help researchers in this area…[because of its] comprehensive coverage of the materials." (Mathematical Reviews, 2007b)"…an excellent survey of many of the nonparametric regression techniques used in longitudinal studies…highly recommended." (CHOICE, October 2006)

• Preface. Acronyms.1. Introduction.2. Parametric Mixed-Effects Models.3. Nonparametric Regression Smoothers.4. Local Polynomial Methods.5. Regression Spline Methods.6. Smoothing Splines Methods.7. Penalized Spline Methods.8. Semiparametric Models.9. Time-Varying Coefficient Models.10. Discrete Longitudinal Data.References.Index.

HULIN WU, PHD, is Professor of Biostatistics in the School of Medicine and Dentistry at the University of Rochester in the Departments of Medicine; Community and Preventative Medicine; and Biostatistics and Computational Biology. His research interests include longi-tudinal data, HIV/AIDS modeling, biomedical informatics, and clinical trials. JIN-TING ZHANG, PHD, is Assistant Professor in the Department of Statistics and Applied Probability at the National University of Singapore. His research interests include nonparametric regression and density estimation, nonparametric mixed-effects modeling, functional data analysis, and longitudinal data analysis, among others.

"The authors should be congratulated for their contribution…a nice addition to the personal collection of any statistician." (Journal of the American Statistical Association, June 2007) "...can serve as a textbook for both undergraduate and graduate students. Also it will help researchers in this area…[because of its] comprehensive coverage of the materials." (Mathematical Reviews, 2007b)"…an excellent survey of many of the nonparametric regression techniques used in longitudinal studies…highly recommended." (CHOICE, October 2006)

• Preface. Acronyms.1. Introduction.2. Parametric Mixed-Effects Models.3. Nonparametric Regression Smoothers.4. Local Polynomial Methods.5. Regression Spline Methods.6. Smoothing Splines Methods.7. Penalized Spline Methods.8. Semiparametric Models.9. Time-Varying Coefficient Models.10. Discrete Longitudinal Data.References.Index.

HULIN WU, PHD, is Professor of Biostatistics in the School of Medicine and Dentistry at the University of Rochester in the Departments of Medicine; Community and Preventative Medicine; and Biostatistics and Computational Biology. His research interests include longi-tudinal data, HIV/AIDS modeling, biomedical informatics, and clinical trials. JIN-TING ZHANG, PHD, is Assistant Professor in the Department of Statistics and Applied Probability at the National University of Singapore. His research interests include nonparametric regression and density estimation, nonparametric mixed-effects modeling, functional data analysis, and longitudinal data analysis, among others.

"The authors should be congratulated for their contribution…a nice addition to the personal collection of any statistician." (Journal of the American Statistical Association, June 2007) "...can serve as a textbook for both undergraduate and graduate students. Also it will help researchers in this area…[because of its] comprehensive coverage of the materials." (Mathematical Reviews, 2007b)"…an excellent survey of many of the nonparametric regression techniques used in longitudinal studies…highly recommended." (CHOICE, October 2006)

• Preface. Acronyms.1. Introduction.2. Parametric Mixed-Effects Models.3. Nonparametric Regression Smoothers.4. Local Polynomial Methods.5. Regression Spline Methods.6. Smoothing Splines Methods.7. Penalized Spline Methods.8. Semiparametric Models.9. Time-Varying Coefficient Models.10. Discrete Longitudinal Data.References.Index.