Our quality control process prevents errors in reported data and reduces the time required to complete projects.

Labstat's quality control process focuses on 2 main functions:

1. Ensuring laboratory results are precise and accurate; and
2. Ensuring that incorrect results are detected and not reported, or in the case of GLP studies, all data points are captured within the audit trail.

To achieve these objectives Labstat has developed a process that statistically evaluates Laboratory data to determine if the results are out of a specified range of control (“outliers”). This system has been developed to monitor and assess the quality of samples being generated and analyzed, in real time, allowing for early detection of trends or problems within the sample generation and analysis processes. The statistical analysis of data is applied to primary (analytes of interest) and secondary (puff and TPM) variables as gathered during the course of sample generation and analysis. Also, statistical evaluation of calibration slope data is used to monitor instrument and standards performance.

Significant departures from the expected results for Quality Control samples, replicates, instruments or standards are viewed seriously and require an investigation. A formal exploratory procedure is followed consisting of a number of investigative steps. Once all steps are investigated and the results of the investigation are analysed and reported, our Scientists will determine if the results are acceptable. If this investigation fails to determine an assignable cause, the data is deemed acceptable and the apparent bias ascribed to an extreme example of random variation.