Life Course Research Visual Toolkit

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Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and the environment over...

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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

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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