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Sample size determination for confidence intervals on the population mean and on the difference between two population means.

Sample size determination is usually based on the premise that a hypothesis test is to be used. A confidence interval can sometimes serve better than a hypothesis test. In this paper a method is presented for sample size determination based on the premise that a confidence interval for a simple mean, or for the difference between two means, with normally distributed data is to be used. For this purpose, a concept of power relevant to confidence intervals is given. Some useful tables giving required sample size using this method are also presented.

Biometry↗

[Complex medico-genetic study of the Western Siberian population. II. Population-genetic study of fluorescent chromosome polymorphism in Northern Khanty].

Polymorphisms of fluorescent variants of 469 human karyotypes from five subpopulations of the Northern Khanty were studied. Significant frequency variability of Q-polymorphic variants of chromosomes was shown. Wahlund's variance for 12 chromosome polymorphic segments was 0.0121, while the total inbreeding coefficient was 0.0069 with a negative nonrandom component. Heterozygosity estimated for chromosome fluorescent polymorphism (0.189) agrees well with that for blood group systems and less for enzymes. The frequencies of Q-polymorphic variants corresponded to Hardy-Weinberg equilibrium, except for chromosome 13 which gave the significant excess of heterozygotes. Possible explanations of this phenomenon are discussed.

Adolescent↗

[Health behavior and social inequality in the Swiss population. Results from the SOMIPOPS study (Sociomedical Model Indicators of the Population of Switzerland)].

In the context of the first representative Swiss national health survey, the relationship between social inequality and health behavior was assessed in 3419 Swiss citizens. Social inequality was measured by an indicator model including occupational position and education. Utilization of preventive services was better among women than men, a trend not dependent on social class. Women of lower social position and education used cervical screening services less often. Unskilled men made less use of preventive services offered. Health behavior was better in women than in men, independently of social class. Working women had significantly worse health attitudes than housewives. Among males, unskilled workers' and white collar employees' consumption of alcohol and tobacco was highest. In both sexes overweight was highly correlated with a low occupational position and low educational level.

Attitude to Health↗