Joint Models for Longitudinal & Survival Data under Maximum Likelihood
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Updated
Jun 28, 2024 - R
Joint Models for Longitudinal & Survival Data under Maximum Likelihood
Generalised joint models of survival and multivariate longitudinal data
Julia implementation of joint models combining longitudinal and survival endpoints
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
Amazon prime video dashboard made on Tableau
This repository contains the implementation of an efficient joint beat, downbeat, tempo, and meter tracking system using a compact 1D probabilistic state space and a jump-back reward technique. ICASSP 2022.
Code for implementing a Joint Model of recurrent and terminal events with Discretely-distributed non-parametric Frailty.
This repository involves the slides of the talk "A Bayesian Joint Model for Analysis of the Frequency and Duration of Physical Activity from a Lifestyle Intervention Trial" presented at IMBM-Mathematics Days VII in Istanbul on October 13, 2023.
Code and supplementary materials for the manuscript "Joint models quantify associations between T-cell kinetics and allo-immunological events after allogeneic stem cell transplantation and subsequent donor lymphocyte infusion" (2023, Frontiers in Immunology)
Dynamic monitoring of the effects of adherence to medication on survival in heart failure patients: A joint modelling approach exploiting time-varying covariates.
Association between SBP and cognitive outcomes
Explicit Interaction Community Models
[AAAI 2020] Official repository of FISR.
[AAAI 2020] Official repository of JSI-GAN.
Use eloquent joins in Laravel way, with composite key support.
calculation of joint life term life insurance compensation using R
R package for fitting joint models to time-to-event data and multivariate longitudinal data
creating an employee database with SQL for future use
Tutorial for using Bayesian joint spike-and-slab graphical lasso in R
Projeto desenvolvido durante o curso de back-end na trybe. Normalização, funções SQL e JOINs.
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