Sentence examples for multivariate regression risk from inspiring English sources

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By multivariate regression, risk factors for declining eGFR ranked: longer lithium treatment, lower lithium dose, higher serum lithium concentration, older age, and medical comorbidity.

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On multivariate logistic regression, risk factors for colonization with Enterobacteriaceae were age ≤ one year (Odds ratio 4.4; 95% Confidence Interval 1.9 10.9; p = 0.0008) and CDC stage C disease (Odds ratio 3.6; 95% Confidence Interval 1.5 8.6; p = 0.005) Nineteen (9.4%) subjects had 23 episodes of bacteremia.

After adjusting for potential confounders including age, sex, and intensity of headache in the multivariate regression models, the risk of gastrointestinal complaints among episodic migraineurs with 8-14 days of headache per month is 1.9 fold greater than those with less than 8 days of headache (CI= 1.10-3.17; P value= 0.014).

Multivariate regression analysis of risk factors was performed, with odds ratios (ORs) (95% CIs) shown.

The deleterious effect of the DD genotype on postmyocardial infarction mortality risk persisted in multivariate regression analysis (adjusted relative risk vs. ID or II genotype 9.62 [95% CI 2.11 43.9]) (supplemental Table 2, available in the online appendix).

The multivariate regression analysis of INS risk factors revealed the 24 h postoperative change of sodium (OR = 0.80 CI 95%%: 0.71-0.90 p < 0.001) and presence of rethoracotomy as risk factors (OR = 5.28 CI95%: 1.40-19.09 p = 0.014) of INS.

The most potent sodium measurement was further analyzed in a multivariate regression analysis of INS risk factors adjusted for demographic variables, preoperative comorbidities, operative characteristics and early postoperative complications.

Multivariate regression models identified independent risk factors for TST positivity.

Considering the problem of collinearity, blood pressure indices (SBP, DBP, MAP and PP) were separately included in the multivariate regression model with other risk factors.

* P value < 0.05 DIC, disseminated intravascular coagulation The age-related clinical confounders shown in Table 3 were analyzed further using the multivariate regression model for mortality risk.

In our review of the Canary Database, we found different strategies for analytic linkage including: multivariate regression, direct calculation of risk ratios, spatial analysis including scan statistics, cross-correlation functions, and mathematical modeling.

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