Key result
Non-parametric analyses described 95% of data for healthy control samples better than mean +/- 2 standard deviations for establishing light transmission aggregation reference intervals.
Population
Healthy control samples and thrombocytopenic patient platelet-rich plasma samples
Comparison
Non-parametric analyses and regression analyses… vs Mean +/- 2 standard deviations
Design
Other
Authors
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Non-parametric methods better define LTA reference intervals in normal platelet counts; supports use there but leaves thrombocytopenic limits open.
Observational
Non-parametric analyses are preferred for establishing light transmission aggregation reference intervals for samples with normal platelet counts, while regression-derived limits provide guidance for evaluating thrombocytopenic samples.
Moffat et al. (2008) conducted an observational in Platelet function defects. Non-parametric analyses vs. Mean +/- 2 standard deviations was evaluated on Reference intervals for % maximal aggregation. Non-parametric analyses described 95% of data for healthy control samples better than mean +/- 2 standard deviations for establishing light transmission aggregation reference intervals.
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