<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>M-D Stats — Insights</title><description>Technical articles on the statistics of medical device and pharmaceutical product and process data — capability, sample size, measurement systems, SPC, validation, and risk.</description><link>https://meddevicestatistics.com/</link><language>en-us</language><atom:link href="https://meddevicestatistics.com/rss.xml" rel="self" type="application/rss+xml"/><item><title>Putting Numbers on Risk: Statistics in ISO 14971</title><link>https://meddevicestatistics.com/insights/statistics-iso-14971-risk-management/</link><guid isPermaLink="true">https://meddevicestatistics.com/insights/statistics-iso-14971-risk-management/</guid><description>ISO 14971 asks for the probability of harm. Here is where process data can supply that number, why zero failures in 30 units proves far less than teams assume, and what occurrence rating your evidence actually supports.</description><pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate><category>Risk Management</category><category>ISO 14971</category><category>Risk Management</category><category>FMEA</category><category>Occurrence</category><category>Sample Size</category><category>Process Capability</category></item><item><title>Cpk vs. Ppk: Which Capability Index Should You Report?</title><link>https://meddevicestatistics.com/insights/cpk-vs-ppk/</link><guid isPermaLink="true">https://meddevicestatistics.com/insights/cpk-vs-ppk/</guid><description>Cpk and Ppk answer different questions about your process. What separates short-term from long-term variation, which index belongs in your validation report, and how much data it takes before the number means anything.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate><category>Process Capability</category><category>Process Capability</category><category>Cpk</category><category>Ppk</category><category>Process Validation</category><category>SPC</category></item><item><title>How Many Samples? Sample Size Justification for Design Verification</title><link>https://meddevicestatistics.com/insights/sample-size-design-verification/</link><guid isPermaLink="true">https://meddevicestatistics.com/insights/sample-size-design-verification/</guid><description>How to determine sample size for variables and attribute testing — the tolerance-interval rule that ties n to process capability, why the minimum n is not a plan, and how risk sets the claim.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>Sample Size</category><category>Sample Size</category><category>Design Verification</category><category>Reliability</category><category>Acceptance Sampling</category><category>V&amp;V</category><category>Risk Management</category></item><item><title>Gage R&amp;R: How to Interpret %GRR, ndc, and %Tolerance</title><link>https://meddevicestatistics.com/insights/gage-rr-interpretation/</link><guid isPermaLink="true">https://meddevicestatistics.com/insights/gage-rr-interpretation/</guid><description>A Gage R&amp;R study returns several percentages that can disagree. Here is what %Study Variation, %Tolerance, and number of distinct categories each mean, and which to judge your measurement system against.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><category>Measurement Systems</category><category>MSA</category><category>Gage R&amp;R</category><category>Measurement Systems</category><category>Test Method Validation</category></item></channel></rss>