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The technique might even help museum folk speed up their analyses: By knowing what's inside a lump of rock, researchers can determine which fossils are worth extracting, and which ones can wait.
While a number of studies have investigated the impact of birth weight on subsequent obesity controlling for socioeconomic variables in multivariate analyses, we are not aware of any published studies that have stratified their analyses by socioeconomic status to investigate whether or not the association between birth weight on obesity varies by socioeconomic status.
For example, Wilson et al conducted an in-depth analysis of quality of care within 68 RWP-supported facilities, and reported on similar care outcomes as do we, but further stratified their analyses by provider type.
So far, only few studies stratified their analyses by sex, and they yielded conflicting results.
This highlights a requirement for future RCTs of RA treatments to stratify their analyses by ACPA status.
Some studies adjust their analyses by the use of auxiliary data, and there are studies aiming at estimating accurate obesity rates from self-reported data.
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Moreover, several studies already included secondary structures in their analyses either by morphometrical matrices or by sequence-structure alignments [ 11- 16].
Some studies evaluate several programmes or perform their analyses separately by gender or region as well as estimate effects for different points in time during follow-up.
Eight stated that their analyses were by intention to treat [ 38, 40, 49- 54].
But their analyses are hindered by two difficulties.
Their analyses are supplemented by the observations of Jacquie Gales Webb, the host of a popular radio program.
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