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| 003 | MX-MdCICY | ||
| 005 | 20250625160200.0 | ||
| 040 | _cCICY | ||
| 090 | _aB-16912 | ||
| 245 | 1 | 0 | _aThe logarithmic transformation and the geometric mean in reporting experimental IgE results: what are they and when and why to use them? |
| 490 | 0 | _vAnn Allergy Asthma Immunol, 100(6), p.625-626, 2008 | |
| 520 | 3 | _aImmunologic data, such as IgE and interleukin 4, tend to have positively skewed distributions with a long tail of larger values. This renders analyses based on normal distribution theory questionable (eg, t tests and analysis of variance)and distorts the sample mean as a measure of central tendency. These problems can be addressed through analysis of log-transformed data. Data analyzed in this fashion are summarized with the geometric mean. | |
| 650 | 1 | 4 | _aIGE |
| 700 | 1 | 2 | _aOlivier J |
| 700 | 1 | 2 | _aJohnson Wd |
| 700 | 1 | 2 | _aMarshall Gd |
| 856 | 4 | 0 |
_uhttps://drive.google.com/file/d/1tstYNedxIhFjeT8VCoUxUkv5Ly-GnxO2/view?usp=drivesdk _zPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx |
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