Wayne Taylor

Describing Compounder Accuracy

Suppose the accuracy of a compounder was described as ±5% or ±10%.  What does this mean to you?  In many ways, this description is lacking.  First, what percentage of dispenses would you expect to be in this range?  Is it 100%?  Is it 50%?  Does this statement describe the typical performance or a guaranteed level […]

Describing Compounder Accuracy Read More »

Change-Point Analysis

DR. WAYNE A. TAYLORTaylor Enterprises, Inc., Libertyville, IL 60048 Change-point analysis is a powerful new tool for determining whether a change has taken place. It is capable of detecting subtle changes missed by control charts. Further, it better characterizes the changes detected by providing confidence levels and confidence intervals. When collecting online data, a change-point analysis is not

Change-Point Analysis Read More »

Change-Point Analysis: A Powerful New Tool For Detecting Changes

WAYNE A. TAYLORBaxter Healthcare Corporation, Round Lake, IL 60073 Change-point analysis is a powerful new tool for determining whether a change has taken place. It is capable of detecting subtle changes missed by control charts. Further, it better characterizes the changes detected by providing confidence levels and confidence intervals. When collecting online data, a change-point

Change-Point Analysis: A Powerful New Tool For Detecting Changes Read More »

A Pattern Test for Distinguishing Between Autoregressive and Mean-Shift Data

WAYNE A. TAYLORBaxter Healthcare Corporation, Round Lake, IL 60073 Statistical methods such as control charts and change-point analysis are commonly usedto determine whether the mean has shifted. Such methods assume independent errorsaround a possibly changing mean. When such techniques are applied to autoregressivedata, erroneous conclusions can result. However, shifts of the mean createautocorrelation between the

A Pattern Test for Distinguishing Between Autoregressive and Mean-Shift Data Read More »

Methods and Tools for Process Validation

Dr. Wayne A. Taylor ABSTRACT There are many statistical tools that can be used as part of validation. Control charts, capability studies, designed experiments, tolerance analysis, robust design methods, failure modes and effects analysis, sampling plans, and mistake proofing are but a few. Each of these tools will be summarized and their application in validation

Methods and Tools for Process Validation Read More »

Selecting Statistically Valid Sampling Plans

INTRODUCTION Form 483 is used by the Food & Drug Administration (FDA) for reporting adverse findings resulting from one of their inspections.  Numerous 483’s have cited sampling plans as not being “statistically valid” or as lacking statistical justification.  So what does it take for a sampling plan to be statistically valid? Selecting statistically valid sampling

Selecting Statistically Valid Sampling Plans Read More »

Process Tolerancing: A Solution To The Dilemma Of Worst-Case Versus Statistical Tolerancing

Dr. Wayne A. Taylor When solving tolerancing problems, one must choose between worst-case tolerancing and statistical tolerancing.  Both of these methods have their pros and cons.  If worst-case tolerancing is used, all tolerances must be specified as worst-case tolerances. If statistical tolerancing is used, all tolerances must be specified as statistical tolerances.  In reality, the

Process Tolerancing: A Solution To The Dilemma Of Worst-Case Versus Statistical Tolerancing Read More »

Scroll to Top