Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0014070 (encephalomyelitis)
 13,017 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Traditionally, statistical analyses of multiple limiting dilution analyses have used linear regression in comparing the fit of each analysis to a single-hit Poisson model. Multiple analyses can, however, result in an inflated type I error leading to spurious rejection of the null hypothesis. Logistic regression was used as an umbrella statistic to analyze eight limiting dilution analyses for antigen-reactive T cells from two mouse strains (SJL/J; B10.S), at two priming doses of antigen, for each of two antigens (porcine myelin basic protein, PMBP; purified protein derivative of M. tuberculosis, PPD) used to induce experimental allergic encephalomyelitis (EAE). This proved superior to traditional methods: six of the eight strain/dose/antigen combinations were consistent with a viable model, whereas only three of eight were consistent with the Poisson single-hit model. Moreover, only three of the resultant 32 standardized residual values (four per group times eight groups) fell outside the 95% confidence interval. Logistic regression, therefore, is recommended when nominal dependent measures can be structured as a function of more than one independent variable.
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PMID:Use of logistic regression in comparing multiple limiting dilution analyses of antigen-reactive T cells. 768 Mar 68