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Video
Action at a distance – fully remote COVID19 trials
Video
Interpretable Machine Learning for ki
Method
Mathematical models of biological systems
Method
Structural equation model framework
Method
Network meta-analysis framework
Method
Non-linear mixed effects models
Method
Multistate Markov Models
Method
Linear and non-linear models for growth curves & estimating fetal weight
Method
Categorical Methods
Method
Functional principal component analysis models
Method
Machine learning algorithms
Tool
Trelliscope for data visualization & cleaning
Tool
Study Explorer
Tool
ELEnOR: Early Life Events and Outcomes Resource
Tool
Influence Search
Tool
FREM Explorer
Tool
Segmentation Explorer
Tool
HECT (a.k.a. DAC) A step towards improved clinical trials
Empirical Model
Pooled logistic regression to describe characteristics associated with wasting and recovery
Population Model
Population-level models of determinants of child growth.
Casual Model
Structural equations model for height-for-age z-score (HAZ)
Mechanistic Model
Body-brain/Infant-Child model
Mechanistic Model
Mother-fetus model
Mechanistic Model
Gut & Growth Mechanistic Model
Empirical Model
Machine learning models for child growth trajectories
Empirical Model
SuperLearning of child growth trajectories
Empirical Model
SuperLearning to define and predict composite outcomes
Empirical Model
Longitudinal growth measures and associations with brain development
Empirical Model
Multistate Markov model to describe longitudinal changes in LAZ categories
Empirical Model
Ordered categorical model for longitudinal measures of HAZ
Empirical Model
Full random effects model (FREM)
Empirical Model
Joint model for length, weight, and head circumference
Video
Synapse Open Source Collaboration Platform