Analysis of longitudinal data with irregular, outcome-dependent follow-up - Lin, Haiqun; Scharfstein, Daniel O.; Rosenheck, Robert A. (Journal of the Royal Statistical Society. Series B, Statistical methodology, 2004)
Keywords: Confidence interval; Consistent estimators; Counting process; Data analysis; Data collection; Distribution theory; Drop-out; Estimation; Estimation bias; Estimators; Evaluation; Exact sciences and technology; Factor analysis; Health service evaluation; Health services; Homeless people; Homelessness; Intermittent missingness; Linear inference, regression; Longitudinal data; Longitudinal studies; Mathematics; Maximum likelihood estimation; Modeling; Multivariate analysis; Non-Gaussian data; Parametric models; Probability and statistics; Probability theory and stochastic processes; Regression analysis; Sample size; Sciences and techniques of general use; Semiparametric estimators; Sequential ignorability; Simulation; Statistical methods; Statistics; Studies; Visit process; Weighted generalized estimating equations; Data analysis; Finite sample; Large sample; Response model; Continuous time; Regression analysis; Statistical method; Missing data; Correlation analysis; Follow up study; Experimental design; Marginal distribution; Observation data; Biased estimation