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To examine why the estimators variances are different, we extend our results by conditioning on the observed number of treated units in each strata.
Post-stratification is akin to blocking, except that the number of treated units in each strata is a random variable be- cause stratification occurs after treatment assignment.
Consequently, the size of sampling in each strata is done using the minimum variance criteria.
The stratum for each cell was determined by minimizing the amount of variation of the product of BA and height in each strata.
Then a random sample of 10 households in each strata was selected giving sample sizes of 240 for Burkina Faso and Mali; 480 and 120 for the Republic of Niger and Senegal, respectively.
Results were stratified according to CD4 cell count and are presented according to the number of OLPs seen per patient for each gene (Figure 1a), and the percentage contribution of each protein to all responses in each strata (Figure 1b).
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In an effort to balance enrollment across IOP strata, investigators were instructed to enroll one subject in each stratum before enrolling additional subjects in either stratum.
The global sample was distributed into 12 strata, in principle, in proportion to the number of pupils in each stratum.
Participants were then categorized into strata according to their propensity scores, resulting in covariate-matched individuals in each stratum.
In total 120 sites were surveyed, with 10 replicates in each stratum.
We extend our approach to the case, where the set of N fuel rods is arranged in strata, possibly due to different design in each stratum.
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