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The orbit, single-mission and multi-mission altimetry crossover analyses show that the time variable models EIGEN-6S_corrected, EIGEN-6S2 and its two precursors EIGEN-6S2A/B perform notably better than the stationary models for the GRACE period from 2003 onwards.
We have considered aggregated exposure time series data, which are the most common application of case crossover analyses.
The crossover analyses were limited to two genomic regions, but these regions captured both low- and high-recombination areas of euchromatin, and the centromere of chromosome 3, a highly repetitive heterochromatic region.
Many packages have programs that fit multinomial models, but these do not allow exposures x to vary within in each stratum s (e.g. pollution to vary within strata), so they cannot be used as an alternative for case crossover analyses or others that concern us here.
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Case-crossover analyses were used to assess the relationship between each of the ten heatwave definitions and health outcomes.
[15] Case-crossover analyses were used to assess the relationship between heatwaves and health outcomes using the ten HWDs.
We have previously used regression models with seasonal smoothers, and case-crossover analyses, to evaluate the association between environmental exposures and bacterial respiratory disease [9], [15], [16].
23 24 Case-crossover analyses require exposure data for cases only.
Case-crossover analyses lend themselves to the analysis of effect modification.
Consistent with Lin et al. (2002), we saw some differences in results between time-series and case-crossover analyses.
For both time series and time-stratified case-crossover analyses, we plotted the estimated relative risks for each group.
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