Semiparametric regression for the mean and rate functions of recurrent events

By Danyu Lin, Lee-Jen Wei, I. Yang, Zhiliang Ying. 2000

999 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/46d3d82abd53040769a3002f8352e092d28e4e9b

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In Statistics and Probability

Citations in the corpus

Efficacy and Tolerability of Long-Acting Injectable Naltrexone for Alcohol Dependence: A Randomized Controlled Trial (2005, methodology): “The primary analysis for the end point was performed using a stratified Andersen-Gill recurrent-event Cox model with robust variance estimation.(40,41) The model estimated the treatment effects of naltrexone 190 mg vs placebo and naltrexone 380 mg vs placebo.”
Semiparametric Transformation Models With Random Effects for Recurrent Events (2007, positive): “The robust SE (Lin et al. 2000), which accounts for the dependence of recurrent infections, is .311.”
TWO LIKELIHOOD-BASED SEMIPARAMETRIC ESTIMATION METHODS FOR PANEL COUNT DATA WITH COVARIATES (2005, methodology): “Although pseudo-likelihood methods have been studied in the context of parametric models by Lindsay (1988) and Cox and Reid (2004), not much seems to be known about their behavior in non- and semi-parametric settings such as the one studied here, even assuming that the base model holds.”
On Estimation and Tests of Time‐Varying Effects in the Proportional Hazards Model (2004, methodology): “A similar i.i.d representation is possible for n1=2ðĉ cÞ and is useful for obtaining robust variance estimates as in Scheike (2002) and Lin et al. (2000).”
Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times (2005, methodology): “By using the method in appendix A.3 of Lin et al. (2000), it can be shown that V̂ is a consistent estimate of V.”
Semiparametric and Nonparametric Regression Analysis of Longitudinal Data (2001, methodology): “The recent work of Lin and Ying along with related work by Lin et al. (2000) represent openings into new areas.”
Recurrent events analysis in the presence of time‐dependent covariates and dependent censoring (2004, positive): “…Ḡ{t|Z̄Å.t−/} Y.t/ exp{β γÅ.t/}] E[I.C > t/ Ḡ.t|X/−1 Ḡ{t|Z̄Å.t−/} Y.t/ exp{β γÅ.t/}] ) × Ḡ{t|Z̄ Å.t−/} ∆.t/ Ḡ.t|X/ dMr.t/: .18/ This yields simple-to-implement estimators which are at least as efficient as the ‘partial-likelihood’-based estimating functions that were used in Lin et al. (2000).”
Estimation of direct effects for survival data by using the Aalen additive hazards model (2011, background): “It hence follows that a process like ∫ t 0 Xi.s/ exp{ΨK.t/Ki}{Li.s/−ZTi .s/ μ.s/} ψL.s/ ds is a difference of two monotone functions in t, and therefore that Wn2.t/ is manageable (Pollard, 1990; Lin et al., 2000).”