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This can either be due to intrinsic properties of the data, (i.e., short internal branches due to speciation events closely spaced in time) or to inadequate inference methods [ 10].
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1, 2 While comprehensively conducted meta-analyses may provide strong inferences about the quality and generalizability of the available evidence, 1– 3 they can provide misleading or inadequate inferences about the reliability of the evidence, the consistency of evidence, and the definitive effectiveness of a treatment.
This caveat is offered as a caution to researchers using multilevel logistic regression in conjunction with small data sets; under these conditions researchers can expect to encounter convergence problems, large biases in their model estimates and inadequate statistical inference procedures.
There are three broad categories into which epidemiological assessment of data regarding a causal association between a potential risk factor and an outcome distribute: the existence of association (be it positive or negative), lack of association, the conclusion that the extant data are inadequate for inference.
Prevalence data are clearly inadequate for inferences to CRC incidence and mortality among sexual minorities.
If the experimental data are inadequate for reliable inference of the network, informative priors have been shown to improve the accuracy of inferences.
Scholarship on local adaptation policy has proliferated in recent years, but insufficient attention has been paid to operationalization of the unit of analysis, and methods employed are typically inadequate to draw inferences about variation across cases.
Secondly, the cross-sectional design of this study is inadequate for causal inferences as it is unknown whether the proposed causal factor actually preceded the effect.
Clearly the study sample (117 specimens overall) is inadequate to make robust inferences about the population of intensive care unit patients with septic AKI.
The authors recommend further study with a larger sample, because the small size and inadequate diversity of the sample limit the inferences that can be made.
Our main study limitation was inadequate time which led us to draw inferences from response given by the very people whose performance was being assessed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com