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At least 163 records · Page 9Linked to original sources
PubMed1997

A biostatistical study into the efficiency of individualism using nonisotopic chemiluminescent-enhanced NICE multilocus DNA probes.

The efficiency of individualisation using nonisotopic chemiluminescent- enhanced probes (NICE) was investigated by analysing DNA fingerprints obtained from 190 unrelated Caucasians. Novel analysis of the scoring procedure enabled us to include the comparison of 585 pairs of samples for each of two probes. When the results of NICE probes 33.6 and 33.15 were combined, the mean percentage band share between two unrelated individuals was 16.8% and the mean number of bands identified in an individual DNA fingerprint was 54.8. Results were compared with those obtained using isotopically labelled probes and suggest that the two labelling systems gave similar efficiencies for differentiating between individuals. Analysis of DNA fingerprints from 37 family trios (mother, child and father groups) gave a mutation rate of 0.10% when using NICE probes. The two labelling systems compared were equally efficient in establishing family relationships.

Biometry↗
PubMed2006

Discrimination of intact mycobacteria at the strain level: a combined MALDI-TOF MS and biostatistical analysis.

New methodologies for surveillance and identification of Mycobacterium tuberculosis are required to stem the spread of disease worldwide. In addition, the ability to discriminate mycobacteria at the strain level may be important to contact or source case investigations. To this end, we are developing MALDI-TOF MS methods for the identification of M. tuberculosis in culture. In this report, we describe the application of MALDI-TOF MS, as well as statistical analysis including linear discriminant and random forest analysis, to 16 medically relevant strains from four species of mycobacteria, M. tuberculosis, M. avium, M. intracellulare, and M. kansasii. Although species discrimination can be accomplished on the basis of unique m/z values observed in the MS fingerprint spectrum, discrimination at the strain level is predicted on the relative abundance of shared m/z values among strains within a species. For the 16 mycobacterial strains investigated in the present study, it is possible to unambiguously identify strains within a species on the basis of MALDI-TOF MS data. The error rate for classification of individual strains using linear discriminant analysis was 0.053 using 37 m/z variables, whereas the error rate for classification of individual strains using random forest analysis was 0.023 using only 18 m/z variables. In addition, using random forest analysis of MALDI-TOF MS data, it was possible to correctly classify bacterial strains as either M. tuberculosis or non-tuberculous with 100% accuracy.

Bacterial Proteins↗
PubMed2002

Intensive short courses in biostatistics for fellows and physicians.

At both of our universities we teach (with colleagues) introductory courses in statistics for fellows and physicians. We do not expect that those taking these courses will be able to do their own statistical work, but rather the intention is for them to 'learn the language' and to facilitate future collaboration. Basic principles of study design are introduced in the courses, as well as some of the most common statistical procedures. We will discuss the factors (what works and what does not) that may contribute to a successful course, a comparison to other courses, and our self-evaluation strategy. Finally, we will cover the financial arrangements that we have made when teaching these courses.

Biometry↗