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Unit selection within a risk stratum is done at random and all aspects of random sampling are applicable (Cameron et al., 2003).
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A random allocation sequence for each stratum was done using a computer-generated procedure (STATA version 9.2, StataCorp., College Station, TX, USA).
Consequently, the size of sampling in each strata is done using the minimum variance criteria.
The sample size assignment to determined strata is done by considering the compatibility between load research objectives and sampling design and preparing the way to use the data and information provided by previous load research studies.
Comparisons of survival distributions between strata were done using a log rank test.
Isolation of microorganisms from each strata was done by seeding an aliquot on basal growth medium [ 48] with 1.6% agar (solid basal medium) at 37°C.
Survival probabilities were estimated by the Kaplan-Meier method and tests for differences between strata were done using the log-rank statistic.
Survival probabilities for OS were estimated by the Kaplan-Meier method, and tests for differences between strata were done using the log-rank statistic.
This is typically accomplished by stratifying according to a size measure and by putting all the large units in a take-all stratum in which selection is done with certainty.
AF estimation is done separately for the 3 age strata (0 11, 12 23, and 24 59 months) within which MSD cases were sampled.
Multistage sampling is one of the applications of unequal probability sampling design where the selection of primary units within strata may be done with unequal probability.
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