Ko, Mei-Ju Wu, Hon-Yen Chen, Hung-Yuan Chiu, Yen-Ling Hsu, Shih-Ping Pai, Mei-Fen Ju-YehYang Lai, Chun-Fu Lu, Hui-Min Huang, Shu-Chen Yang, Shao-Yu Wen, Su-Yin Chiu, Hsien-Ching Hu, Fu-Chang Peng, Yu-Sen Jee, Shiou-Hwa Linear regression analysis of predictors associated with the change score of pruritus intensity. <p>NOTE. Each participant’s change score of pruritus intensity = follow-up VAS score of pruritus intensity – baseline VAS score of pruritus intensity. Similarly, each participant’s change score of a covariate = follow-up data of a covariate – baseline data of a covariate.</p><p>Abbreviations: AST, aspartate transaminase; VAS, visual analog scale.</p>*<p>Ca×P = Product of albumin-adjusted serum calcium (Ca) and serum phosphorus (P).</p>1<p>Model considered only the covariates measured at baseline (gender, Kt/V, use of high-flux dialyzer, pruritus intensity, hematocrit, creatinine, uric acid, fasting glucose, total bilirubin, Ca×P). <i>R</i><sup>2</sup> = 0.736.</p>2<p>Model considered both the covariates measured at baseline (Kt/V, pruritus intensity, AST, Ca×P) and the change scores of the covariates (uric acid, fasting glucose, AST). <i>R</i><sup>2</sup> = 0.752.</p> statistics;Biostatistics;Statistical methods;Anatomy and physiology;skin;Skin physiology;Clinical research design;Cohort studies;Prospective studies;dermatology;Nephrology;Chronic kidney disease;dialysis;regression;predictors;pruritus 2013-08-06
    https://plos.figshare.com/articles/dataset/_Linear_regression_analysis_of_predictors_associated_with_the_change_score_of_pruritus_intensity_/766031
10.1371/journal.pone.0071404.t004