Understanding Error Grid Analysis

Understanding error grid analysis.

A critical appraisal of the continuous glucose-error grid analysis.

OBJECTIVE There is no consensus on how to optimally assess the accuracy of continuous glucose sensors. We examined the continuous glucose-error grid analysis (CG-EGA) and compared it with classical accuracy assessment methods, using data from a previously reported study comparing two different continuous glucose sensors in type 1 diabetic patients. RESEARCH DESIGN AND METHODS Drift, delay, me...

Grid Convergence Error Analysis for Mixed-Order Numerical Schemes

New developments are presented in the area of grid convergence error analysis for mixed-order numerical schemes. A mixed-order scheme is deŽ ned as a numerical method where the formal order of the truncation error varies either spatially, for example, at a shock wave, or for different terms in the governing equations, for example, third-order convection with second-order diffusion. The case exa...

Root Cause and Error Analysis

Error is an inevitable part of life and cannot be completely eliminated, but it can be minimized. A root cause analysis is a technique for understanding the systematic error causes that is involved beyond a person or people to implement an errors and including field and environmental causes of errors when occur in this situation too. An important factor of an error occurrence is a root cause (c...

Technical aspects of the Parkes error grid.

BACKGROUND The Parkes error grid, which was developed in 1994, presented performance zones for blood glucose (BG) monitors with borders that were not mathematically specified at the time the grid was published. METHODS In this article, we (1) review the history of the Parkes error grid, (2) present the never-before-published exact coordinates and specifications of the grid so that others may ...