workflow

Life Events Workflow

End-to-end life course analysis workflows: sequence loading, statistical analysis, population comparison, intervention modeling, and importance ranking.

Contents

File	Purpose
workflow.py	Complete analysis pipelines for life event sequence data

Key Functions

Function	Description
analyze_life_course()	Full analysis of event sequences: statistics, patterns, visualizations
compare_populations()	Statistical comparison of event patterns between two population groups
intervention_analysis()	Model the effect of interventions on event sequence outcomes
event_importance()	Rank event types by their impact on target outcomes

Workflow Steps

1. Load event sequences from JSON or generate synthetic cohorts
2. Run analyze_life_course() for complete statistical profiling
3. Optionally compare populations via compare_populations()
4. Model interventions with intervention_analysis()
5. Identify key drivers with event_importance()

Usage

from metainformant.life_events.workflow.workflow import (
    analyze_life_course, compare_populations, intervention_analysis
)

results = analyze_life_course(sequences, output_dir="output/life_events/")
comparison = compare_populations(group_a, group_b)
intervention = intervention_analysis(sequences, intervention_type="early_treatment")