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Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
Prognostic Modeling Risk Prediction
2013/4/27
The joint modeling of longitudinal and time-to-event data is an active area of statistics research that has received a lot of attention in the recent years. More recently, a new and attractive applica...
Modeling left-truncated and right-censored survival data with longitudinal covariates
Likelihood approach semiparametric efficiency biased sample EM algorithm Monte Carlo integration
2012/11/23
There is a surge in medical follow-up studies that include longitudinal covariates in the modeling of survival data. So far, the focus has been largely on right-censored survival data. We consider sur...
Mixed models for longitudinal left-censored repeated measures
Mixed model Repeated measures Left-censoring SAS proc NLMIXED HIV infection
2010/4/29
Longitudinal studies could be complicated by left-censored repeated measures. For example, in Human Immunodeficiency Virus infection, there is a detection limit of the assay used to quantify the plasm...
Covariate adjusted functional principal components analysis for longitudinal data
Functional data analysis functional principal componentsanalysis local linear regression longitudinal data analysis smoothing sparse data
2010/3/11
Classical multivariate principal component analysis has been extended
to functional data and termed functional principal component
analysis (FPCA). Most existing FPCA approaches do not accommodate
...
Longitudinal Data with Follow-up Truncated by Death:Match the Analysis Method to Research
Censoring generalized estimating equations longitudinal data missing data quality of life random effects models truncation by death
2010/3/9
Diverse analysis approaches have been proposed to distin-
guish data missing due to death from nonresponse, and to summarize
trajectories of longitudinal data truncated by death. We demonstrate
how...
Prediction of Pregnancy: A Joint Model for Longitudinal and Binary Data
joint model mixed linear model generalized linear model longitudinal data binary data
2009/9/24
We consider the problem of predicting the achievement of successful pregnancy, in a population of women undergoing treatment for infertility, based on longitudinal measurements o...
Statistical Analysis for Longitudinal Counting Data in the Presence of a Covariate Considering Different
Statistical Analysis Longitudinal Counting Data
2009/9/17
Statistical Analysis for Longitudinal Counting Data in the Presence of a Covariate Considering Different "Frailty" Models。
Modeling long-term longitudinal HIV dynamics with application to an AIDS clinical study
AIDS antiretroviral drug therapy Bayesian nonlinear mixedeffectsmodels time-varying drug efficacy long-term HIV dynamics longitudinal data
2010/3/17
A virologic marker, the number of HIV RNA copies or viral load,
is currently used to evaluate antiretroviral (ARV) therapies in AIDS
clinical trials. This marker can be used to assess the ARV potenc...
Controlling for individual heterogeneity in longitudinal models，with applications to student achievement
longitudinal data analysis random effects models fixed effects models omitted variables
2010/4/29
Longitudinal data tracking repeated measurements on individuals are
highly valued for research because they offer controls for unmeasured individual
heterogeneity that might otherwise bias results. ...
Causal inference in longitudinal studies with history-restricted marginal structural models
causal inference counterfactual marginal structuralmodel longitudinal study IPTW G-computation Double Robust
2010/4/29
A new class of Marginal Structural Models (MSMs), History-
Restricted MSMs (HRMSMs), was recently introduced for longitudinal data
for the purpose of defining causal parameters which may often be be...