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We assessed the relation between time to radiation start and survival using Cox proportional hazards modeling adjusting for clinically relevant variables that were selected a priori.
Associations between bare-metal stents (BMS), drug-eluting stents (DES), CABG, and outcomes were determined using multivariable Cox proportional hazards modeling, adjusting for potential confounders with CABG as the reference.
We used Cox proportional hazards modeling, adjusting for potential confounders, to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).
We used Poisson regression modeling adjusting for autocorrelation within hospitals to test for possible time trends in MRSA proportions.
Mixed linear regression modeling adjusting for breed showed a positive association of the number of AMY2B copies with ln amylase [ β = 0.05 (95% CI, 0.1 0.9; P-value = 0.011)].
RP = Pearson correlation coefficient; RS = Spearman correlation coefficient To test whether underlying differences between pregnant and non-pregnant women may have caused the difference in CCL22 concentration, we conducted linear regression modeling adjusting for possible confounders.
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We used generalized linear regression modeling, adjusted for parent age, education, income, and clinic site.
Single-nucleotide polymorphisms were tested for association using a logistic regression model adjusting for admixture proportions.
ANALYSIS: Chi-square tests, logistic regression models adjusting for race/ethnicity, socioeconomic status, and vegetarian status.
However, this association was reduced in models that adjusted for cigarette consumption and history of alcohol dependence and was rendered nonsignificant in a model adjusting for sleep disturbance.
Both predictors were influential in models adjusting for each other.
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