• GMRFLib

  • Referenced in 308 articles [sw06641]
  • analysis of longitudinal and survival data, spatio-temporal models, graphical models, and semi-parametric statistics...
  • MIXED

  • Referenced in 75 articles [sw06480]
  • Approach of linear mixed model in longitudinal data analysis using SAS. Linear mixed models ... complexities of typical longitudinal data sets. The analysis of linear mixed model methodology...
  • JM

  • Referenced in 57 articles [sw10494]
  • package for the joint modelling of longitudinal and time-to-event data. In longitudinal studies ... each subject. These may include several longitudinally measured responses (such as blood values relevant ... analyzed; however, in many instances, a joint modeling approach is either required or may produce ... package JM that fits joint models for longitudinal and time-to-event data...
  • msm

  • Referenced in 53 articles [sw08096]
  • Markov and hidden Markov multi-state models to longitudinal data. A variety of observation schemes ... hidden Markov output process can be modelled in terms of covariates, which may be constant...
  • Mplus

  • Referenced in 346 articles [sw06511]
  • Mplus offers researchers a wide choice of models, estimators, and algorithms in a program that ... analysis of both cross-sectional and longitudinal data, single-level and multilevel data, data that ... analyzed according to any of the models included in the program...
  • JMbayes

  • Referenced in 18 articles [sw19775]
  • Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC ... Joint models for longitudinal and time-to-event data constitute an attractive modeling framework that ... including among others joint models for continuous and categorical longitudinal responses, and provides several options...
  • DPpackage

  • Referenced in 70 articles [sw10495]
  • models in R, DPpackage. Currently, DPpackage includes models for marginal and conditional density estimation, receiver ... item response data, longitudinal and clustered data using generalized linear mixed models, and regression data...
  • STJM

  • Referenced in 8 articles [sw19776]
  • module to fit shared parameter joint models of longitudinal and survival data. stjm fits shared ... parameter joint models for longitudinal and survival data using maximum likelihood. A single continuous longitudinal ... linear mixed effects model is used for the longitudinal submodel, which lets time be modelled ... flexible parametric survival model (see stpm2), modelled on the log cumulative hazard scale is also...
  • MIXOR

  • Referenced in 26 articles [sw08990]
  • complementary log-log regression models. These models can be used for analysis of dichotomous ... clustered or longitudinal design. For clustered data, the mixed-effects model assumes that data within ... model parameters, thus adjusting for dependence resulting from clustering of the data. Similarly, for longitudinal ... estimated, along with the effects of model covariates. Examples illustrating usage and features of MIXOR...
  • LMest

  • Referenced in 12 articles [sw11736]
  • certain versions of the Latent Markov model for longitudinal categorical data...
  • sandwich

  • Referenced in 35 articles [sw04486]
  • Estimators , Model-robust standard error estimators for cross-sectional, time series and longitudinal data...
  • RSiena

  • Referenced in 10 articles [sw07980]
  • Investigation for Empirical Network Analysis. Fits models to longitudinal network data...
  • joineRML

  • Referenced in 6 articles [sw19419]
  • package joineRML. Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes. Fits ... joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended ... multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional ... time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version...
  • JMfit

  • Referenced in 4 articles [sw14766]
  • assessing model fit in Joint models of longitudinal and survival data. Joint models for longitudinal ... treatment effect while accounting for a longitudinal biomarker such as patient-reported outcomes or immune ... fitting the joint model and assessing the fit of the longitudinal component and the survival ... contribution of the longitudinal data to the fit of the survival model. To fulfill this...
  • Spheno

  • Referenced in 62 articles [sw09544]
  • exists for an easy implementation of other models. The program solves the renormalization group equations ... calculated including initial state radiation and longitudinal polarization of the incoming electrons/positrons. The program ... easily be extend to include non-minimal models and/or complex parameters...
  • Proc Traj

  • Referenced in 14 articles [sw11097]
  • Procedure Based on Mixture Models for Estimating Developmental Trajectories. This article introduces ... authors that analyzes longitudinal data (developmental trajectories) by fitting a mixture model. The TRAJ procedure ... zero-inflated Poisson, and Bernoulli distributions to longitudinal data. Applications to psychometric scale data, offense ... information criterion to address the problem of model selection, including the estimation of the number...
  • lcmm

  • Referenced in 15 articles [sw13207]
  • mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum...
  • simplexreg

  • Referenced in 8 articles [sw24021]
  • method can be applied to longitudinal data to model the correlation. Residual analysis is also...
  • tlmec

  • Referenced in 15 articles [sw11119]
  • distribution. Mixed-effects models are commonly used to fit longitudinal or repeated measures data ... inference for linear and nonlinear mixed effects models with censored response (NLMEC/LMEC) based ... package tlmec. It is applied to analyze longitudinal HIV viral load data in two recent...
  • Mmm

  • Referenced in 6 articles [sw14558]
  • marginal models. fits multivariate marginal models for multivariate longitudinal data for both continuous and discrete...