https://www.adventuresinwhy.com/tag/sensitivity-analysis/Recent content in Sensitivity Analysis on Adventures in WhyHugoen-usbob@ConvexAnalytics.com (Bob Wilson)bob@ConvexAnalytics.com (Bob Wilson)© Bob Wilson {year}Thu, 03 Sep 2026 00:00:00 +0000https://www.adventuresinwhy.com/publication/matched-pairs-binary-outcomes/Thu, 03 Sep 2026 00:00:00 +0000bob@ConvexAnalytics.com (Bob Wilson)https://www.adventuresinwhy.com/publication/matched-pairs-binary-outcomes/https://www.adventuresinwhy.com/post/survey_sampling/Fri, 23 May 2025 00:00:00 +0000bob@ConvexAnalytics.com (Bob Wilson)https://www.adventuresinwhy.com/post/survey_sampling/In this note, we consider sampling from a finite population, without replacement and with unequal probabilities. We seek an estimate of the population mean of some characteristic.https://www.adventuresinwhy.com/post/sensitivity_analysis_matched_sets/Fri, 29 Dec 2023 00:00:00 +0000bob@ConvexAnalytics.com (Bob Wilson)https://www.adventuresinwhy.com/post/sensitivity_analysis_matched_sets/Adjusting for observed factors does not elevate an observational study to the reliability of an experiment. P-values are not appropriate measures of the strength of evidence in an observational study. Instead, sensitivity analysis allows us to identify the magnitude of hidden biases that would be necessary to invalidate study conclusions. This leads to a strength-of-evidence metric appropriate for an observational study.https://www.adventuresinwhy.com/post/sensitivity_analysis_matched_pairs/Fri, 03 Nov 2023 00:00:00 +0000bob@ConvexAnalytics.com (Bob Wilson)https://www.adventuresinwhy.com/post/sensitivity_analysis_matched_pairs/Observational studies involve more uncertainty than randomized experiments. Sensitivity analysis offers an approach to quantifying this uncertainty.