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In this article we highlight the various pitfalls that can befall a clinician when faced with apparently anomalous or discordant TFTs, and show how a structured clinical approach, combined with judicious use of biochemical, radiological and genetic investigations, enables the cause of apparently confusing TFTs to be readily resolved in most cases.
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The first section describes the major methodological principles of clinical trial design required for a rigorous evaluation of the treatment benefit, as well as the various pitfalls or biases that could lead to erroneous conclusions.
Analyses including various taxon sampling and data partitions allow us to point out some possible pitfalls that may lead to biased results in molecular dating; however, further analyses are needed to corroborate these observations.
There are also the pitfalls that arise.
These are common pitfalls that may trick even expert operators.
Pinpoint pitfalls that may cause trouble and develop precautionary measures.
Supermatrix methods also have potential pitfalls that are not so different from those affecting supertree methods.
Proteome-based cancer portraits unfortunately suffer from some pitfalls that are specific to proteomic approaches.
However, many pitfalls that are briefly discussed below make them unreliable as estimators of contamination.
Artefacts and pitfalls that may hamper image interpretation are also discussed.
The number of studies, patients, and outcome data is still limited, and we also noted some weaknesses in trial methodology, which highlights various pitfalls and possible inherent error or bias that warrant further discussion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com