MVLS v1.1 is a function for R software to impute missing values in longitudinal dataset. R package.
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Updated
Jul 21, 2018 - R
MVLS v1.1 is a function for R software to impute missing values in longitudinal dataset. R package.
A general model for the joint analysis of multivariate longitudinal data and survival time
Handy data cleaning code relevant to LifeCourse cohorts
Analysis code for the manuscript "Hematological profiles in patients infected with malaria in an endemic area of Peru"
nnUNet benchmarks for The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma (UCSF-ALPTDG) dataset.
Final project for longitudinal data analysis. Models change in weight over time with a linear mixed model.
R package providing statistical tests for high-dimensional repeated measures or split-plot designs.
Analysis of the evolution of prevalence of thought disorders
Function for creating time-series plots using ggplot. Updated from legacy project r-ggplotspaghetti
A Julia package for analyzing massive longitudinal data using Linear Mixed Models (LMMs) through the Bag of Little Bootstrap (BLB) method.
A YouTube longitudinal data visualization
This is the thesis I wrote to graduate from the Master of Public Policy at the Hertie School of Governance. You can find the code, the full text of the thesis, and the thesis poster. I would love to hear what you think!
A ggplot2-based R package for visualizing longitudinal patient data and integrated clinical events in a user-friendly and customizable manner.
Public spending on acute and long-term care for Alzheimer's disease and related dementias
(OLD VERSION - 0.3) - MVLS is a function for R software to impute missing values in longitudinal dataset. R package.
Simulations for the cosinor model
Using "t-SNE trajectories" for integrated visualization of multi-dimensional longitudinal trajectory datasets.
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