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BMJ2mon
Physical performance tests predict injury in National Collegiate Athletic Association athletes: a three-season prospective cohort study - British Journal of Sports Medicine
The relationship between injury and these PPT-based constructs and other known predictors of injury was explored using univariate and multivariate regression. Results PPTs clustered into five ...
jnis.bmj2mon
Clinical prediction model of invalid recanalization after complete reperfusion after thrombectomy in acute ischemic stroke patients: a large retrospective study | Journal of ...
Through ANOVA (analysis of variance) and univariate logistic regression, potential risk factors were filtered out to be associated with outcomes of AIS patients (P<0.05); then those potential ...
The Lancet3mon
Impact of follow up blood cultures on outcomes of patients with community-onset gram-negative bloodstream infection - eClinicalMedicine - The Lancet
Multivariate logistic regression analysis was performed to identify baseline clinical characteristics associated with obtaining FUBC in patients with GN-BSI. Variables associated with obtaining FUBC ...
The Lancet1y
Establishment and validation of a multivariate predictive model for the efficacy of oral rehydration salts in children with postural tachycardia syndrome
A retrospective case-control analysis of 130 patients (aged 5–18 years) who suffered from POTS with a 3-month treatment of ORS was conducted. A nomogram model was developed in the training set (n = 87 ...
Frontiers2y
Development of predictive nomograms clinical use to quantify the risk of diabetic foot in patients with type 2 diabetes mellitus - Frontiers
According to random sampling, the patients were divided into two groups: the training set (DF = 84; simple T2DM = 410) and the verification set (DF = 41; simple T2DM = 170). Univariate and ...
Frontiers2y
Pretreatment blood biomarkers combined with magnetic resonance imaging predict responses to neoadjuvant chemoradiotherapy in locally advanced rectal cancer - Frontiers
A univariate and multivariate logistic regression model was utilized to determine predictive factors for pCR to NCRT. DeLong’s technique was used to compare the areas under the curves (AUC) based on ...