Sentence examples for inappropriate analysis from inspiring English sources

Exact(11)

Professor Barker asserts that the notion of management as a profession is an "inherently flawed" idea, and that "hanging the mantle 'professional' on business education fosters inappropriate analysis and misguided prescriptions".

This feature makes inappropriate analysis through methods that assume Gaussianity.

In 2007 Bath and Mansson indicated the inappropriate analysis of visual grading data using parametric tests and recommended a novel method of analysing such data called Visual Grading of Characteristics: VGC analysis.

Criticisms related to the manufacturers' analyses covered both failure to perform a necessary analysis (12/30 reports) and the performance of an inappropriate analysis (17/30 reports).

In 2010, De Hoon et al. [ 29] showed that, with an inappropriate analysis pipeline, a microRNA read may be mapped on a wrong location in the reference genome.

Concerns have been raised about inappropriate analysis of the generated summed scores that are erroneously assumed to be at the interval level (Wright, 1999; Svensson, 2001; DeVellis, 2006).

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Similar(49)

For viral load and CD4 count outcomes, meta-analysis was planned using the weighted mean difference, but available data were inappropriate for analysis due to differences in study methodology and reporting.

Issues with replication occur for a variety of reasons ranging from experimental design to laboratory errors to inappropriate statistical analysis.

The prospect of genetic history has already heightened some anxieties over what is considered inappropriate racial analysis, while inspiring speculation about shared human origins and worldwide migrations.

These could arise from genuine differences in welfare, poor validity of indicators, low statistical power, publication bias, or inappropriate statistical analysis.

However, ill-assorted pre-assay conditions, poor assay design and inappropriate data analysis methodologies have resulted in the recurrent publication of data that are at best inconsistent and at worst irrelevant and even misleading.

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