Random Intercept for Categorical Outcome and Predictor Variables (55 Patients)Categories are very common in medical research. Examples include age classes, income classes, education levels, drug dosages, diagnosis groups, disease severities, etc. Statistics has generally diffic...
In the training set, both XGBoost and logistic regression were used for model construction. The list of all predictor variables included in the prediction models is shown in Supplementary Table S1. XGBoost is an optimized distributed gradient boosting method with high efficiency, flexibility and ...
Predetermined variables, or those significantly associated with failed extubation in univariate analysis (p < 0.05), were tested for interaction with multiple logistic regression analysis. Odds ratios (OR) and 95% confidence intervals were calculated. Statistical analysis of the data was done using ...
This paper presents an algorithm for grouping the values of qualitative predictor variables while minimizing the loss of information about a dichotomous dependent variable. The algorithm is based on Shannon's measure of uncertainty. Subpopulations corresponding to the predictor values are ranked by their...
The assessment of disease activity in systemic sclerosis (SSc) is challenging owing to its heterogeneous manifestations across multiple organ systems, the variable rate of disease progression and regression, and the relative paucity of patients in early-phase therapeutic trials. Despite some recent succes...
In order to clarify this hypothesis, a discriminant analysis was performed to designate the actual life status/drinking status of those unknown cases using sociodemographic and drinking-style data of the statistical records of the clinic as independent (predictor) variables. The results show that the...
predictors had been entered simultaneously, after control for: a.) pretreatment primary outcome scores, b.) age, c.) gender, d.) marital status, and e.) employment./p pResults/p pThe predictor set was significant only for short-term CBT outcome, where it explained 15% of the variance....
In this case, the association between the outcome of interest (occurrence of any of the 3 diseases) and the predictor variables (main effects, exposure to an elevated concentration of BHBA; potential confounders, parity) will be evaluated. To run Poisson regression using PROC GENMOD, the log ...
II. Predictor variables for mortality. J Rheumatol 1995, 22: 1265-1270. CAS PubMed Google Scholar Gladmann DD: Prognosis and treatment of systemic lupus erythematosus. Curr Opin Rheumatol 1995, 7: 402-408. Article Google Scholar Sturfelt G, Eskilsson J, Nived O, Truedsson L, Valind S...
(IL-1) and tumor necrosis factor alpha (TNFα) [257]. Elevated CRP is a predictor of cardiovascular disease [67,334], IS risk [328], and forecasts worse functional outcome (mRS) in acute IS patients according to multiple meta-analyses [127,281]. Heritability estimates of baseline CRP ...