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Multiple-sample analyses allow the researcher to constrain model parameters to be identical across two or more samples and to test how well these constraints fit the data [ 39].
In 10 out of 53 patients (18.9%) where multiple samples were analysed results were discordant with respect to mutation findings with wild-type and mutated tumours in the same patient.
Recent developments in computer tomography based analyses make multiple sample studies possible; the question remains how many femurs are required to perform a study which accounts for such variations.
In addition, three multiple samples were simultaneously analysed on a single device.
Efficient use of the chamber required that multiple samples could be analysed sequentially.
The above method was developed further for enabling multiple samples to be analysed during a single experiment (as opposed to two-sample measurements, which proved to be highly accurate but unsuitable for simultaneous study).
Parameter settings for each of the three analyses were determined after testing with multiple sample datasets.
Y.L., E.J.T. and E.S.S. performed sample analyses.
Multiple samples for the same analyses do not require a different form.
We encourage others who have suitable data (ideally, from multiple samples) to replicate the analyses we performed here and publish the results.
However, it is too expensive to be used for analysing multiple samples.
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