Topic: Simulation Studies for Method Comparison

Constructing Null And Negative-Control Scenarios

Creating Shared And Modality-Specific Signals

Comparing Runtime And Algorithmic Reliability

Choosing Monte Carlo Replication Counts in Multi-Omics Integration

Choosing Benchmark Estimands

Calibrating Signal Strength And Noise

Building a Scenario Matrix

Building Semi-Synthetic Benchmark Data

Avoiding Misleading Aggregate Rankings

Balancing Method-Favorable Scenarios