Volume 14   Number 3   July  2004

Emerging Issues in Longitudinal and Functional Data Analysis

Introduction .................Marie Davidian, Xihong Lin and Jane-Ling Wang 613

Discussion ................................................................ 615


Nonparametric and Semiparametric Regression

Functional and longitudinal data analysis: perspectives on smoothing.......
      .........................................................John A. Rice 631

Histospline method in nonparametric regression models with application to   
     clustered/longitudinal data...........................................    
     Raymond J. Carroll, Peter Hall, Tatiyana V. Apanasovich and Xihong Lin 649

Functional response models ................................................
     ..................Jeng-Min Chiou, Hans-Georg Muller and Jane-Ling Wang 675

Self-modeling regression for multivariate curve data ......................
     ..................................Brent A. Coull and John Staudenmayer 695

Restricted likelihood ratio tests in nonparametric longitudinal models ....
     ..............................Ciprian M. Crainiceanu and David Ruppert 713

Penalized structured additive regression for space-time data: a Bayesian 
     perspective..............Ludwig Fahrmeir, Thomas Kneib and Stefan Lang 731

Polynomial spline estimation and inference for varying coefficient models 
     with longitudinal data......Jianhua Z. Huang, Colin O. Wu and Lan Zhou 763

The functional data analysis view of longitudinal data.....................
     ............................Xin Zhao, J. S. Marron and Martin T. Wells 789


Joint Modeling of Longitudinal and Survival Data

Joint modeling of longitudinal and time-to-event data: an overview.........
      .............................Anastasios A. Tsiatis and Marie Davidian 809

Joint longitudinal-survival-cure models and their application to prostate 
      cancer...............................................................
      Menggang Yu, Ngayee J. Law, Jeremy M. G. Taylor and Howard M. Sandler 835

Bayesian methods for joint modeling of longitudinal and survival data with 
      applications to cancer vaccine trials ...............................
      .................Joseph G. Ibrahim, Ming-Hui Chen and Debajyoti Sinha 863

Proportional hazards regression models with unknown link function and time-
      dependent covariates ........................................Wei Wang 885


Causal Inference

Using potential outcomes as predictors of treatment activity via strong 
      structural mean models ............S. Vansteelandt and E. Goetghebeur 907

Marginal structural quantile models for longitudinal observational studies 
      with time-varying treatment..........Joseph W. Hogan and Joo Yeon Lee 927

Systematizing the evaluation of partially controlled studies using principal
      stratification: from theory to practice ..............................
      ...........................Constantine E. Frangakis and Ravi Varadhan 945


Missing Data

Robust likelihood-based analysis of multivariate data with missing values ..
      .......................................Roderick Little and Hyonggin An 949

Fixed effects models for longitudinal binary data with drop-outs missimg at
      random ................................................Paul J. Rathouz 969


General

Meaningful statistical model formulations for repeated measures.............
      ...................................Geert Molenberghs and Geert Verbeke 989