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Biomedical subjects

S Taber

Publications and source records attributed to S Taber.

14 recordsLinked to original sources

Characterization of antimicrobial resistance in enterococci of animal origin.

Among 97 enterococci cultured from animals, gentamicin MICs were > or = 2,000 micrograms/ml for 9 isolates and between 250 and 1,024 micrograms/ml for 6 isolates. For two isolates tested (gentamicin MICs, 256 and 512 micrograms/ml, respectively), there was no in vitro synergy with penicillin plus gentamicin, resistance was transferable, and there was no hybridization with a probe specific for 6'-aminoglycoside acetyltransferase-2"-aminoglycoside phosphotransferase. The results of the study indicate the presence of a unique gentamicin resistance genotype in enterococci of animal origin.

Animals↗

The importance of assessing the fit of logistic regression models: a case study.

BACKGROUND: The logistic regression model is being used with increasing frequency in all areas of public health research. In the calendar year 1989, over 30% of the articles published in the American Journal of Public Health employed some form of logistic regression modeling. In spite of this increase, there has been no commensurate increase in the use of commonly available methods for assessing model adequacy. METHODS: We review the current status of the use of logistic regression modeling in the American Journal of Public Health. We present a brief overview of currently available and easily used methods for assessing the adequacy of a fitted logistic regression model. RESULTS: An example is used to demonstrate the methods as well as a few of the adverse consequences of failing to assess the fit of the model. One important adverse consequence illustrated in the example is the inclusion of variables in the model as a result of the influence of one subject. CONCLUSIONS: Failure to address model adequacy may lead to misleading or incorrect inferences. Recommendations are made for the use of methods for assessing model adequacy and for future editorial policy in regard to the review of articles using logistic regression.

Bias↗

Lot quality assurance sampling: single- and double-sampling plans.

Lot quality assurance sampling (LQAS) was originally developed for industrial applications. This article discusses the extension of its application to a public health setting. When resources must be allocated to several communities based on whether or not each exceeds a target proportion of members with a characteristic, a sampling scenario arises which is different to the standard parameter estimation scenario. LQAS is an efficient procedure for sampling in this instance. Under certain conditions, double sampling may further enhance the efficiency of an LQAS plan. LQAS is discussed and illustrated by examples, and the theoretical foundations of single and double lot quality assurance sampling are presented. Examples of sample size and critical value tables are also presented.

HIV Seroprevalence↗

Serum Hepatitis.

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Cross Infection↗

Quality time.

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Decision Making, Organizational↗

Expert advice.

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Expert Testimony↗