|
The issue of bias in analytical measurements generates a lot of debate. Existential debates (does bias exist? should it?) are often mixed with more practical debates (what's the best way to calculate bias?). Here's a description of the different kinds of bias that (might?) exist in the laboratory.
|
|
|
A description of the variables, equations and all the mathematical details behind the Quality Planning models.
Please Login (at right) or Register to view article |
|
Written by James O. Westgard, Ph.D.
|
|
How many runs does it take before your instrument will detect a medically important error? This is a basic question that other industries take great pains to determine - so why is it healthcare laboratories generally don't know the answer? Dr. Westgard explains how this number can be calculated - and how new technologies in the lab are creating a new way to describe the performance of QC procedures
Please Login (at right) or Register to view article |
|
|
Written by James O. Westgard, Ph.D.
|
|
This is a lesson on how to determine the performance of a QC procedure using a table of areas under a normal curve. At the intersection QC Design, Six Sigma, statistics, and QC - you can establish your capability to detect an important medical error
Please Login (at right) or Register to view article |
|
For more than 15 years, programs like QC Validator and EZ Rules 3 have been automatically choosing the best control rules and number of measurements and materials for laboratory tests. Now it's available in a new format: a dynamic library tha can be embedded in other software programs. So if you want your LIS or your instrument or your POC device to automatically plan your quality, read this lesson to find out how...
Please Login (at right) or Register to view article |
|
|
|
|
<< Start < Prev 1 2 3 Next > End >>
|
|
Page 1 of 3 |
