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The time-stratified control sampling approach was used, adjusted for particulate matter (PM10) concentrations, time trends and meteorological influences.
Correlation of funding with disease burden was not improved when data utilizing new NIH accounting methods was used (adjusted R2 = 0.27) compared to prior methods (adjusted R2 = 0.34) applied to 2007 data, the first year for which the new methods were available.
Unconditional logistic regression in successive models was used, adjusted for socio-demographic variables and other confounders.
For analyses, repeated-measures analysis of variance was used, adjusted for covariates.
To adjust for confounding factors, a multiple logistic regression analysis was used, adjusted for age, sex, and comorbidity.
The cumulative average intake level involving information from 1980 , 1984 , 1986 , 1990 , 199498, 2002 and 2006 was used, adjusted for total energy intake.
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23 Poisson regression was used, adjusting for propensity score deciles.
Unconditional logistic regression was used, adjusting for age, sex, and when appropriate housing characteristics.
Analysis of covariance was used adjusting laboratory data for age and TBSA%.
Fixed effect regression analysis was used adjusting for subject, trend, weekday, and meteorology.
For select diagnostic groupings, multivariable logistic regression was used, adjusting for factors found to be significant in bivariate analyses.
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CEO of Professional Science Editing for Scientists @ prosciediting.com