Analysis of longitudinal data

By P. J. Diggle, Patrick J. Heagerty, Kung Yee Liang, Scott Zeger. 1994

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Citations in the corpus

Informing sequential clinical decision-making through reinforcement learning: an empirical study (2010, background): “The random intercept term, gi , models the correlation between the PANSS symptom scores at different months within an individual (Diggle et al. 2002).”
Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI (2009, unknown): “…distribution such that P[Z z α ]= α , d is the difference in annual change between the two arms, σ ̂ e 2 is the residual standard error from the mixed effects model, t j is the time (in years) of the j th assessment and t ̄ is the average (in years) of the scheduled visits (Diggle et al., 2002).”
Bayesian Analysis for Penalized Spline Regression Using WinBUGS (2005, background): “{response[i]~dnorm(m[i],taueps) m[i]<-mfe[i]+mre110[i]+mre1120[i] mfe[i]<-beta[1]*X[i,1]+beta[2]*X[i,2] mre110[i] <-b[1]*Z[i,1]+b[2]*Z[i,2]+b[3]*Z[i,3]+b[4]*Z[i,4]+ b[5]*Z[i,5]+b[6]*Z[i,6]+b[7]*Z[i,7]+b[8]*Z[i,8]+ b[9]*Z[i,9]+b[10]*Z[i,10] mre1120[i]<-b[11]*Z[i,11]+b[12]*Z[i,12]+b[13]*Z[i,13]+b[14]*”
Dialectical behavior therapy versus comprehensive validation therapy plus 12-step for the treatment of opioid dependent women meeting criteria for borderline personality disorder. (2002, methodology): “Weekly urinalysis results were analyzed using hierarchical logistic regression models that allowed random subject-specific intercepts and subject-specific time slopes (Diggle et al., 1996).”
Attrition in Panel Data: The Effectiveness of Weighting (2006, unknown): “Examples are selection models (such as the Heckman model) and pattern-mixture models (Little, 1995; Allison, 2002; Diggle et al., 2002; Verbeek, 2004).”
Nonlinear models for repeated measurement data: An overview and update (2003, background): “A common assumption (e.g., Diggle et al. 2001, Ch. 5 ) is that the realization and”
Design and analysis of stepped wedge cluster randomized trials. (2007, methodology): “GEE tends to be more robust to misspecification of the variance structure than LMM or GLMM since " sandwich " type variance estimates are used [18].”
Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix (2000, methodology): “For estimating the covariance structure of a dataset it is generally believed (Diggle et al., 1994, p. 64) that a sensible strategy is to use an over-elaborate or saturated model for the mean response profile.”
An evaluation of SFAS No. 130 comprehensive income disclosures (2007, unknown): “As in Gleason and Lee (2003), we control for this issue by calculating the regression t-statistics using the Huber-White estimator described in Diggle et al. (1994). All regressions are run on the sample after removing outliers based on Belsley, Kuh, and Welch (1980) diagnostics.”