Life Course Research Visual Toolkit
Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and the environment over a lifetime. Recent advances in computational analytics, computer science, and data collection allow for the integration of a “life course” theoretical framework and complexity science for understanding health and development across the lifespan.
The innovative NCATS Life Course Research Visual Toolkit was created to advance the recommendations outlined in, Charting the Life Course: Emerging Opportunities to Advance Scientific Approaches Using Life Course Research.
The Promise of the Exposome: Scaling It Up
New Methods for Identifying Complex Patterns of Disease in Families and Linking Them to their Roots
Building an Exposomic Data Resource
Preview
Using Exposomic Data to Investigate Unexplained Phenotypic Variation
Machine Learning to Classify Subgroups of Disease and Predict Outcomes
Developing and Validating Ways to Model High-Dimensional Data
Using Trajectory Methods to Identify Sensitive Periods During Pregnancy
Using Trajectory Methods to Capture Timing, Dose, and Duration of Exposure
An Overview of Longitudinal Trajectory Methods
Preserving Complexity in High Density Data
Evaluating Interventions with a Complex Systems Approach
Moving Towards a Complex Systems Approach to Health Intervention Research
How to Implement a Microsimulation Model: Application
Using Microsimulations to Conduct Virtual Experiments
Understanding Potential Biases Inherent in Data
Understanding Health Across the Lifecourse
Dissecting P=G + E with Big Data
A How-to Guide for Studying the Elusive Exposome in Complex Disease with Large Data
An Introduction to Lifecourse Research and Complexity Science
Global Child Development: Translating Science into Policy Relevant Aspects
Advancing Policy Perspective in Life Course Research
Research Opportunities with a Single Cohort and Beyond
Project Viva: Challenges and Lessons Learned
How to Build a Longitudinal Cohort
The Importance of Measuring Social and Chemical Stressors
Journey into Complexity Science: Promise of the Exposome
Linkage Across Diverse Data Resources
Utilizing Data Science Resources to Prepare and Package Integrated Datasets
Using Electronic Health Records For Medical Research