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However, rigorous inference techniques suitable for noisy, incomplete, and heterogeneous data are lacking.
ETA and PN can describe the interinfluence of factors visually and achieve the rigorous inference of multisource information.
Philosophically inclined thinkers have both historically and at present labored to shape the relevant intuition into a more formal, logically rigorous inference.
Working on complete genomes ensures the rigorous inference of the presence or absence of homologues in each genome.
Yet, greater prominence and availability of such data along with indications that fitness profiling might contain information about gene regulation suggest the need for a more comprehensive and rigorous inference approach.
Poor convergence rates and the need to modify the model based on a design are not conducive to rigorous inference, which is what is typically sought in QTc analyses.
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Only historical data or statistically rigorous inferences about history, and not a simple comparison of living species, can provide convincing support for claims of an evolutionary trend.
Regression discontinuity (RD) designs allow for rigorous causal inference when patients receive a treatment based on scoring above or below a cutoff point on a continuously measured variable.
We epidemiologists have long recognized the importance of using rigorous causal inference approaches to design and analyze our studies.
However, those conclusions relied upon identification of the TS neurocognitive phenotype in a small number of individual subjects; the sample was too small to permit rigorous statistical inference.
In contrast to exomePeak, our previously developed MeRIP-seq peak calling algorithm, HEPeak models the correlation between continuous bins in an mA peak region and it is a model-based approach, which admits rigorous statistical inference.
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