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Reanalyzing the data

In that one individual, 5-HIAA level turned out to be 14 or 13. You might predict that he would have been the lowest one on the scale. I subsequently learned the importance of body height, and he happens to be a very short, stocky man. So we are now in the process of reanalyzing the data, trying to take in the appropriate variables into account. And, again, these arc studies that have to be replicated in our own hands and extended by others. [Pg.317]

Although most pharmaceutical statisticians and toxicologists agree on the need to control the probability of false positive results, there is no consensus as to which method is most appropriate or most acceptable to regulatory agencies, The FDA and other such agencies will accept a variety of statistical procedures but will often reanalyze the data and draw their own conclusions based on their analyses. [Pg.314]

The astrophysical evidences posses new challenges to test one of the basic tenets of modern physics constancy of speed of light. To estimate energy-dependent speed of light unambigously, we need to reanalyze the data with more rigirous statistical techniques, and more refined experiments are also needed to make any conclusive progress. [Pg.618]

After reanalyzing the data using customized software tools the identified proteins will be validated by partners within the network. [Pg.15]

Numerous new and revised thermochemical tables are included in this collection. However, this Third Edition is primarily a rewriting and a recalculation of all the tables no attempt has been made to reanalyze the data for all tables. The rewritten tables adhere more closely to the current lU-PAC recommendations on symbols and notation. The recalculated tables are all based on the current lUPAC and CODATA recommendations for relative molecular masses and fundamental constants. As a result, a comparison of a table in this Third Edition and its previously published form (i.e., same revision date) will reveal differences however, these result from the adjustments mentioned above rather than from a reanalysis of the data. [Pg.4]

We have reanalyzed the data presented by Floriano et aL (1999) and found that, for H4T4, A changes from a value of 0.25 at T = 6 to a value of 0.19 at T = 8, which is close to the upper micellization temperature. These results are consistent with the observations that these surfactants yield spherical nanostructures. However, note that this parameter alone is insufficient to anticipate the fact that for T > 8.5 no coherent micelles form. [Pg.300]

The authors then reanalyzed the data from the 1-compartment model assuming a common covariance between clearance and central volume. Without the covariance term, the mean decrease in the objective function value between the 1-and 2-compartment model was 272, 99.5, 60.1, and 7.1 for the 3-, 6-, 12-, and 48-h sampling groups, respectively. With the covariance term the mean decrease in the objective function value was 235, 10.9, 0.5, and 0, respectively, indicating that choosing a 1-compartment model was more likely with the covariance term included in the model. Thus, there was an interaction between the ability to detect the correct structural model and the random effects included in the model. [Pg.250]

It is stable and retrievable. NCBI keeps the last version of every gi number. Because the history is included in the record, anyone who discovers that gi 54 is no longer part of the GenBank release can still retrieve it from ID through NCBI and examine the history to see that it was replaced by gi 88. Upon aligning gi 54 to gi 88 to determine their relationship, a researcher may decide to remap the former analysis to gi 88 or perhaps to reanalyze the data. This can be done at any time, not just at GenBank release time, because gi 54 will always be available from ID. [Pg.30]

This equation is imusual in that it has a negative coefficient with log P. Moss et al. (2002) rationalized this as the downslope of a parabolic, or biphasic, relationship with log P. In an attempt to provide a more mechanistically interpretable model, Gute et al. (1999) reanalyzed the data set and developed the following model ... [Pg.127]

Erman and Hory [39] reanalyzed the data of Allen et al. [112] on swollen natural mbber samples crosslinked with dicumyl peroxide. It was found that the shape of the [f ] vs. [Pg.510]

Kloczkowski, Mark, and Erman [95] compared the prediction of the diffused constraint model with the results of the Flory constrained-junction fluctuation theory [36] and the Erman-Monnerie constrained chain theory [94]. They found that the shapes of the [/ ] vs. a curves for all three theories were very similar. Rubinstein and Panyukov [101] reanalyzed the data of Pak and Flory [118] obtained for uniaxially deformed crosslinked PDMS samples. They concluded that the fit of the experimental data by the diffused... [Pg.511]

It may be assumed for the future that owing to standardization of source data (NetCDF,. cdf) and availabihty of source data in the PDF/A-3 format, the authorities will not only look at chromatograms but also reanalyze the data, such as detection or quantification limits to check or verify peak purity. In connection with audit trails used in the laboratories, such submitted chromatograms are clearly traceable and laboratories will be as transparent as never before. [Pg.320]


See other pages where Reanalyzing the data is mentioned: [Pg.651]    [Pg.66]    [Pg.431]    [Pg.214]    [Pg.54]    [Pg.73]    [Pg.148]    [Pg.279]    [Pg.43]    [Pg.43]    [Pg.54]    [Pg.55]    [Pg.66]    [Pg.286]    [Pg.16]    [Pg.123]    [Pg.309]    [Pg.295]    [Pg.517]    [Pg.602]   
See also in sourсe #XX -- [ Pg.517 ]




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