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An overview of precision oncology basket and umbrella trials for clinicians

Ca-A Cancer Journal for Clinicians, 2020
Kristian Thorlund, Edward J Mills
exaly

DESIGN AND ANALYSIS OF A BAYESIAN ADAPTIVE SKIP-LOT SAMPLING PLAN (BASkSP) WITH SINGLE SAMPLING PLAN AS REFERENCE PLAN

This research describes a new Bayesian Adaptive Skip-Lot Sampling Plan (BA-SkSP) system designed for quality inspection of constantly manufactured lots using Bayesian statistical concepts. The proposed strategy uses a single sampling plan as a reference plan and includes a Bayesian framework for dynamically adjusting sample frequency depending on prior
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DESIGN OF SKIP LOT SAMPLING PLAN (SKSP-3) WITH SINGLE SAMPLING PLAN AS A REFERENCE PLAN USING BOREL DISTRIBUTION

Skip-lot sampling plans (SkSPs) have long been recognized as effective strategies for minimizing inspection efforts in quality control, especially within high-volume manufacturing settings. This study proposes a Skip-Lot Sampling Plan of Type SkSP-3, constructed using Single Sampling Plans (SSPs) by attributes, under the probabilistic framework defined
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An Application of Time Truncated Single Acceptance Sampling Inspection Plan Based on Generalized Half-Normal Distribution