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The two-phase stratified sample design allowed estimates to be reported for the general population from the stratified subsample (intensive sample) by using inverse sampling probability weights.
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We characterized distributions in the full cohort using inverse sampling weights.
We calculated relative risks and 95% confidence intervals by using inverse probability of sampling weighted relative risk regression (a generalised linear model with binomial family and log link function) 13 adjusted for maternal age at delivery (<25, 25-34, >34), parity (none, one, two, three or more), index of multiple deprivation (in national fifths), and study site.
The amount of anandamide, 2-AG and 1-AG in the samples was determined by using inverse linear regression of standard curves.
Finally, the watermarked image is obtained by using inverse of CZT and inverse of DWT.
The absorptivity used in the numerical model was then tuned by using inverse analysis technique.
An overall Z -score was calculated by using inverse variance weighted Z -scores.
In this paper, we present a purely computational alternative by using inverse imaging [ 18].
We also adjusted for survey design using inverse probability sampling weights and calculated robust standard errors clustered by sampling unit [ 59].
In the second stage, the number of days needed to interview 90 puerperal women in each hospital (minimum of 7) was selected by using an inverse sampling method.
A raw prevalence estimate was generated by first using inverse probability weighting.
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