The term "psychomathematical," as used here, is intended to designate all such aspects of inner psychological phenomena that, beyond a qualitative analysis of their experiential properties, are directly quantifiable.doi:10.1007/978-1-4612-6170-4_6Endre Székely...
A review of the statistical considerations involved in the treatment of isotope dilution calibration data (p 265-271) A review of the statistical considerations involved in the treatment of isotope dilution calibration data. Biological Mass Spectrometry. 1976; 3 :265–271. ... - 《Biological Mass...
The gut microbiome is closely associated with health status, and any microbiota dysbiosis could considerably impact the host’s health. In addition, many active consortium projects have generated many reference datasets available for large-scale retrospe
This differs from BV4 by methodical improvements in the treatment of calendar effects and so-called outliers which refers to time series values differing substantially from the general structure of the series values because of unusually large irregular influences. BV4.1 offers features such as ...
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Graphical summaries of the data (e.g., box plots and scatterplots), coupled with simple frequency tables of qualitative variables, should be an integral part of an ongoing data quality process. The failure to conform to assumptions is a subtler problem. In this section we briefly summarize ...
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The purpose of this letter is to offer a technique for quantifying these qualitative ideas. The approach employed is a modification of thedoi:10.1007/BF00728858S. B. BatdorfReza GhaffarianKluwer Academic PublishersJournal of Materials Science Letters...
Meta-analyses of individual participant data (IPD) provide the best evidence regarding treatment effects and offer unique opportunities and benefits when investigating subgroup effects [1]. Therefore, IPD meta-analyses (IPD-MA) are considered the gold standard for detection of subgroup effects and th...
Here is a link to a framework that helps you select the minimally needed set of confounding factors for a valid data-analysis. A recent example taught us that the statistical repair of bias due to poor treatment adherence in a trial would have required repeatedly measuring time-dependent ...