Results 101 to 110 of about 523,434 (195)
Univariate and multivariate analyses of factors associated with composite cardiovascular outcome.
Univariate and multivariate analyses of factors associated with composite cardiovascular outcome.
Shang-Feng Yang (8115101) +4 more
core +1 more source
Multivariate logistic regression analysis for clinical outcome (ever RTI till 6 months of age).
Multivariate logistic regression analysis for clinical outcome (ever RTI till 6 months of age).
Man-Chin Hua (487619) +7 more
core +1 more source
Drug-induced liver injury (DILI) is associated with high mortality risk. However, no biomarker can reliably predict outcome. In order to identify baseline parameters that are associated with mortality the data of 268 prospectively collected DILI patients
Sabine Weber +7 more
doaj +1 more source
Independent predictors of poor functional outcome at 3 months determined using multivariate analysis.
Chih-Hung Chen (588111) +8 more
core +1 more source
Multivariate analysis of the association of gender and outcome stratified by race categories.
Multivariate analysis of the association of gender and outcome stratified by race categories.
Ladan Golestaneh (5683769) +3 more
core +1 more source
Multivariate logistic regression analysis of independent predictive factors for weaning outcome and ICU mortality.
Hsin-I Tsai (652681) +8 more
core +1 more source
Risk factors influencing the treatment outcome in diabetic macular oedema
A multivariate analysis was done on 96 eyes to evaluate the effect of various risk factors on the final visual outcome after laser photocoagulation for clinically significant macular oedema (CSME) in diabetic retinopathy.
Gupta Amod +3 more
doaj
Background Strongly multicollinear covariates, such as those typically represented in metabolomics applications, represent a challenge for multivariate regression analysis.
Tim U. H. Baumeister +3 more
doaj +1 more source
Multivariate dynamic model for ordinal outcomes
Individual or stand-level biomass is not easy to measure. The current methods employed, based on cutting down a representative sample of plantations, make it possible to assess the biomasses for various compartments (bark, dead branches, leaves, . . .). However, this felling makes individual longitudinal follow-up impossible.
Chaubert, Florence +2 more
openaire +1 more source
Final multivariate logistic regression model, with Current Major Depressive Episode as outcome variable.
Adhemar Longatto-Filho (246146) +2 more
core +1 more source

