Sentence examples for stratum sizes from inspiring English sources

Standard analyses of continuous data from such trials fail to recognize the random nature of the stratum sizes.

We propose an alternative method of analysis that explicitly accounts for the randomness of the stratum sizes and illustrate its validity using simulations.

Further, in a pooled analysis across populations (strata), the weights should be based on the relative stratum sizes and the incidence of D within each stratum.

Data on stratum sizes and household sizes for selected enumeration areas were obtained and used to calculate weights for individual respondents.

This stratum sampling weight was defined as the ratio between the population stratum size and the observed sample stratum size.

The stratified version of these tests, which should account for matching, is inefficient when the number of strata increases and the stratum size is small [ 1].

A more detailed statistical analysis of subgroups was hampered by the small strata size.

In addition, HCV-RNA – a better indicator of chronic HCV – was available for only a portion of our sample, resulting in strata size too small for analysis.

In order calculate the sample size of each stratum, population size of the stratum was multiplied by the total sample size of the strata and divided by the total student population (24158).

Eventually, using a stratified (by Swiss canton) random sampling approach, 2,285 dairy farms (with stratum sample sizes proportional to the cantonal cattle population) was drawn from the available sampling frame using computer-generated random numbers [ 10].

For each species (sheep and goat), the stratum sample sizes determination was carried out using the formula by Bennett et al. [ 21] implemented within the ProMESA software program for statistical sampling in animal populations [ 22].