Let us be honest with ourselves: Most biostatistics courses teach biologists how to perform statistical analysis, but virtually nothing about what can be inferred from their results, what those inferences are assuming, nor what is possible if those assumptions are incorrect. At least, if biologists are aware of those issues, judging from what is published in scientific journals, they are generally ignored. This situation has been described repeatedly over several decades, but remains largely unchanged, even among premier journals. Since improvements in some areas of medical research were attributed to strongly stereotyped designs and analyses which now prevail, a few statisticians consider the way forward is to further constrain biologists freedom of choice in this click here respect.
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