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β = standardized coefficient as given by stepwise multivariate regression analysis.
By stepwise multivariate regression analysis, eGFR was selected as significant predictor for FGF23 or α-Klotho among patients with an estimated GFR of less than 60 mL/min/m; however, urine albumin/creatinine ratio was not selected as a predictor for FGF23 or α-Klotho irrespective of the eGFR levels.
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Factors were explored for association with cachexia using ordinal logistic regression and those that were significant (P<0.05) in univariate analyses were subsequently included in a stepwise multivariate regression stratified by country.
Pearson's univariate regression analysis and stepwise multivariate regression analysis by the forward selection method were performed to determine the association of the carotid IMT with the other clinical parameters.
We included in forward and backward stepwise multivariate regression models as covariates all data with p < 0.1 in univariate analysis, with stratification by metformin use.
Analysis of stepwise multivariate regression is reported in Table 2.
Sex-specific associations with SRH were examined by stepwise multivariate logistic regression.
Bivariate analysis was performed followed by stepwise multivariate logistic regression (with p set at < 0.05).
Relationships between clinical parameters and changes of OHIP-49-H scores were investigated by stepwise multivariate logistic regression analysis comparing the T0- and T1-phases of the study, after dichotomizing the outcomes according to the observed median values.
* p values and ORs were determined by stepwise multivariate logistic regression using a model adjusted for the following variables: 'Age ≥ 40 years-old'; IVCY; maximum dose of prednisolone; steroid pulse therapy; SLEDAI-2K.
Pairs of variables were analysed using chi square to test for significant relationships, followed by stepwise multivariate binary logistic regression of significant variables adjusted for altitude (above and below 1500 m), ethnic group and village.
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