Analysis of longitudinal data with drop-out: objectives, assumptions and a proposal

• Published in: Applied statistics Vol. 56; no. 5; pp. 499 - 550
• Main Authors: Diggle, Peter, Farewell, Daniel, Henderson, Robin
• Format: Journal Article
• Language: English
• Published: Oxford, UK Oxford, UK : Blackwell Publishing Ltd 01.11.2007; Blackwell Publishing Ltd; Blackwell Publishers; Blackwell; Royal Statistical Society; Oxford University Press
• Series: Journal of the Royal Statistical Society Series C
• Subjects: Additive intensity model; Applications; Censorship; Contrafactuals; Counterfactuals; Data analysis; Data collection; Diagnostic tests; Estimation methods; Estimators; Exact sciences and technology; Inference; Joint modelling; Linear equations; Longitudinal data; Longitudinal studies; Martingales; Mathematics; Missing data; Modeling; Modelling; Multivariate analysis; Parting phrases; Probability and statistics; Probability theory and stochastic processes; Research methodology; Schizophrenia; Sciences and techniques of general use; Statistical analysis; Statistical methods; Statistics; Stochastic processes; Data analysis; Joint modelling; Counterfactuals; Martingale; Schizophrenia; Statistical estimation; Stochastic process; Statistics; Linear model; Diagnostic techniques; Missing data; Simulation; Random effect; Additive intensity model; Dynamic model; Application; Random variable; Martingales

The problem of analysing longitudinal data that are complicated by possibly informative drop-out has received considerable attention in the statistical literature. Most researchers have concentrated on either methodology or application, but we begin this paper by arguing that more attention could be...