Clinical Outcomes Across Three Time Points Using Linear Mixed-Effect Model

Kyung-In Joung published a dataset on figshare in May 2026. The dataset, 9.5 KB in size, contains results from a clinical intervention study. It models changes in clinical outcomes at three time points: pre-intervention, baseline, and 12 weeks.

Use Cases

• Modeling longitudinal treatment effects based on the three measurement time points described.
• Comparing clinical outcomes before and after an intervention based on the pre-intervention and 12-week data.
• Applying linear mixed-effect models to clinical trial data based on the described methodology.
• Assessing the stability of baseline measurements based on the inclusion of a pre-intervention time point.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a compact and focused dataset.
• Data is structured for analysis with a specific statistical model (Linear Mixed-Effect).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kyung-In Joung via figshare.

Collection Method

Likely derived from a clinical intervention study, methodology not detailed.

Time Range

Covers three time points: pre-intervention, baseline, and 12 weeks post-intervention.

Freshness

Last updated 2026-05 22 17:37:21; freshness should be verified.

Geography

Geographic scope is not specified in the provided metadata.