PIDV-MC: Sample Size Calculation Method for Interval-Censored Oncology Data

A 7.5 KB text file authored by Suman Kapoor and last updated on May 12, 2026. It describes the Parametric Illness-Death Variance Inflation for Mixed Censoring (PIDV-MC) method, a statistical technique for calculating sample sizes in clinical trials where progression events are interval-censored and death events are exactly observed.

Use Cases

• Designing sample size calculations for oncology clinical trials based on the described PIDV-MC method.
• Adjusting statistical power estimates for studies with interval-censored progression events as mentioned in the description.
• Comparing traditional sample size methods against the variance inflation factor approach detailed in the paper.
• Modeling progression-free survival within an illness-death framework as described for trial design reliability.

Strengths

• The method is specifically designed for mixed censoring scenarios common in oncology trials.
• The description includes detailed derivations of likelihood and Fisher information matrix.
• Simulation studies across various scenarios are referenced to demonstrate the method's performance.

Limitations

• The dataset is a 7.5 KB text file, indicating limited scope and likely containing only methodological description rather than raw data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for empirical analysis.

Provenance

Source

figshare

Collection Method

Likely contains a research paper or detailed methodological description.

Freshness

Last updated 2026-05-12 05:31:31; freshness should be verified.