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PubMed2006

Statistical combination schemes of repeated diagnostic test data.

RATIONALE AND OBJECTIVES: When diagnostic tests are repeated and combined, a number of schemes may be adopted. Guidelines for their interpretations are required. MATERIALS AND METHODS: Three combination schemes, "and" (A), "or" (O), and "majority" (M), are considered. To evaluate these schemes, dependency by specifying kappa values quantifying repeated test agreement was structured. In a pilot study, the combined accuracies of magnetic resonance imaging using six different pulse sequences of medial collateral ligaments of the elbows of 28 cadavers, with eight having lesions artificially created surgically, were examined. Images were evaluated simultaneously by using a five-point ordinal scale. For each pulse sequence, individuals for whom the diagnosis varied from once to three repetitions were considered. RESULTS: Scheme M improves diagnostic accuracy when sensitivity and specificity of a single test exceed 0.5, with maximal improvement at 0.79. Under scheme A, sensitivity decreases to 0.38-0.59. Under scheme O, sensitivity increases to 0.53-0.79. Scheme M yields a small improvement, reaching 0.50-0.71. Under scheme A, specificity increases to 0.95-0.98. Under scheme O, specificity decreases to 0.91-0.98. Scheme M also yields a small improvement, reaching 0.94-0.98. CONCLUSION: Scheme A is recommended for ruling in diagnoses, scheme O is recommended for ruling out diagnoses, and scheme M is neutral. Consequently, different schemes may be used to optimize the target diagnostic accuracy.

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PubMed1989

A novel method for promoter search enhanced by function-specific subgrouping of promoters--developed and tested on E.coli system.

A new method for evaluating some complex characteristics of the primary structure of E.coli promoters is proposed. The method, of nonparametric statistical significance, selects important conserved single-base positions in combination with 2-base coupling relations of identity and complementarity. The extended consensus of promoter characteristics thus obtained was used to scan unknown sequences for similarity with E.coli promoters. In terms of this method, a complete set of 244 E.coli promoters was shown to be structurally inconsistent. The set was then broken down into functionally homogeneous subsets of promoters to enhance the selectivity of the search for E.coli-specific promoter sequences, with a high significance level being attained.

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