Exploration, Confirmation, and Replication in the Same Observational Study: A Two Team Cro

Data from the Wisconsin Longitudinal Study (WLS) used to study the long-term effects of unwanted pregnancies on mothers' later life outcomes. The dataset, last updated in 2026, employs a two-team cross-screening approach for exploratory, confirmatory, and replication analysis within a single observational study. It focuses on outcomes related to mental health, physical health, economic well-being, and life satisfaction.

Use Cases

• Causal inference analysis on the effects of unwanted pregnancy based on longitudinal mental and physical health metrics.
• Methodological research on observational study designs using the described two-team cross-screening approach.
• Replication studies in social science using the same dataset for exploratory and confirmatory analysis.
• Investigating socioeconomic disparities based on variables related to mothers' economic well-being and life satisfaction.

Strengths

• Dataset size is 380.7 MB, indicating a medium-scale dataset.
• Implements a novel two-team cross-screening methodology for reducing multiple testing problems.
• License is CC-BY-4.0, allowing for open sharing and adaptation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and temporal bias inherent to the Wisconsin Longitudinal Study source.

Provenance

Source

Wisconsin Longitudinal Study (WLS)

Collection Method

Observational study using a proposed two-team cross-screening analytical approach.

Freshness

Last updated 2026-05-18 13:43:17; freshness should be verified.

Geography

Likely focused on Wisconsin, USA, given the data source.