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Sabine Glaser

Publications and source records attributed to Sabine Glaser.

3 recordsLinked to original sources

Shiga toxin-producing Escherichia coli infection in Germany: different risk factors for different age groups.

The authors conducted a matched case-control study in Germany to identify risk factors for sporadic illness associated with Shiga toxin-producing Escherichia coli (STEC) infection, regardless of serogroup. From April 2001 through March 2003, cases were prospectively enrolled through a laboratory-based sentinel surveillance system located in 14 of the 16 German federal states. One control was identified per case, matched by age and region. Conditional logistic regression was used in the analysis, which was conducted separately for three age groups (<3 years, 3-9 years, and > or =10 years). The median age of the 202 enrolled cases was 2.5 years (range, 3 months-89 years). Hemolytic uremic syndrome developed in five patients. Non-O157 strains accounted for 85% of the isolated STEC. In children under 3 years of age, having touched a ruminant had the highest odds of disease, and raw milk was the only food identified as a risk factor. In contrast, in persons aged 10 years or older, only food items (i.e., lamb meat, raw spreadable sausages) were significantly associated with illness. In this study, risk factors were age-specific. Direct transmission through food played a lesser role in children under 3 years of age, the population at greatest risk of both acquiring STEC infection and developing hemolytic uremic syndrome.

Adolescent↗

Calculating sample size bounds for logistic regression.

The calculation of a study's required sample size is one of the most important aspects of the validity of an epidemiological study. Logistic regression often is used in modelling in epidemiology. A simplified method to calculate the sample size for the multiple logistic-regression model was proposed by Hsieh et al. [Stat. Med. 17 (1998) 1623]. The approach for estimating the sample size is described and then applied in the planning of an epidemiological cross-sectional study of the associations of different risk factors with Toxoplasma infection among pregnant women. Although the method demands some additional information which is often difficult to obtain, it is a very useful tool in veterinary epidemiology.

Animals↗

[Maximum Likelihood classification rule for assessing acute toxicity]

As an alternative to the Acute Toxic Class method a simple procedure for the classification of substances into toxicity classes based on the maximum likelihood principle is proposed. The number of experimental animals needed as well as the reliability of the classification is similar to that of the ATC method. In the case of true LD50 values of 2000 mg/kg body weight and above it even is considerably better.

Journal Article↗