Well-defined data quality objectives

The objective for any analytical procedure is to enable consistent and reliable data of the appropriate quality to be generated by laboratories. Such procedures should be sufficiently well-defined and robust to ensure the best use of resources and to minimise the possibility of expensive large-scale collaborative trials yielding unsatisfactory results through lack of application of best practices. As part of achieving the objectives of the AMC it was felt that such a handbook would enable a consistency of approach to the work of the sub-committees. 

Detailed data are generally not available in many developing countries and it is clear that if realistic air quality objectives are to be defined the necessary monitoring work and cost benefit studies need to be undertaken in order to determine the contributions made to air quality by vehicle as well as industrial and natural sources. 

In order to study the possible association antidepressant drugs and adverse suicidal events in adult patients, FDA planned and conducted a meta-analysis study of randomized trials of antidepressants. The meta-analysis had several key features that supported its quality and utility for regulatory actions (1) hypotheses generated from previous and independent evidence provided the meta-analysis objectives (2) the meta-analysis was based on well-defined inclusion criteria and an exhaustive set of trials with patient-level data available (3) the meta-analysis employed rigorous and consistent outcome definitions across trials and patients and (4) the meta-analysis was based on prespecified statistical analysis plan. 

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