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In the case of molecular studies, the preservation of a specimen that can vouch for the source of the tissue sample used to gather genetic data has been recommended, as genetic analysis often yields surprising results that make reexamination of the original specimen crucial.
Log transformation of the microarray data has been recommended to make the distribution more symmetric and Gaussian-like.
The identification of unpublished data has been recommended to minimise the risk of bias in systematic reviews [ 12], but there are variations in policy regarding their inclusion [ 57].
Moreover, concern has been expressed regarding the impact of fixation/permeabilization procedures on antigen localization, such that comparison with live imaging data has been recommended (Schnell et al., 2012).
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29 Multiple sources of data have been recommended in qualitative research.
The use of secondary databases, particularly those which provide information on hospital discharges (i.e. hospital discharges administrative data [HDAD]), has been recommended for improving registries performance in terms of the number of incident cancer cases retrieved [ 2, 5- 7]; in some circumstances, they have even been used as a substitute for a registry [ 8, 9].
The use of hospital discharge administrative data (HDAD) has been recommended for automating, improving, even substituting, population-based cancer registries.
Converging multiple data collecting techniques has been recommended as an effective means of eliciting knowledge [17] and performed successfully on other rail research [e.g. 18, 19].
Comparative effectiveness studies using Medicare claims data are vulnerable to treatment selection biases and supplemental data from a sample of patients has been recommended for examining the magnitude of this bias.
However, ignoring this data can feel unethical and it has been recommended that researchers should not ask open questions unless they are prepared to analyse the responses [ 13].
In the case of AM in particular, it has been recommended that data should be analyzed using at least two of the several different available ancestry inference programs [ 18].
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