[PDF] Top 20 Polychotomization of continuous variables in regression models based on the overall C index
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Polychotomization of continuous variables in regression models based on the overall C index
... research, regression models are often used to model an illness- related outcome based on a number of independent regressor variables, also referred to as diagnostic indica- tors or prognostic ... See full document
13
Baseline characteristics and hospitalizations in patients with schizophrenia receiving olanzapine long acting injection: an interim analysis from a non interventional, prospective observational safety study
... Cox regression was used to identify baseline risk factors associated with time to first psychi- atric hospitalization among patients not hospitalized when they initiated olanzapine LAI ...following ... See full document
8
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees
... is based on combining two in- gredients: orthogonal series approximation of the messages, and the use of stochastic updates for ...the overall error as a function of the associated computational ... See full document
37
Does sarcopenia predict change in mobility after hip fracture? a multicenter observational study with one-year follow-up
... the regression analyses, we used multiple imput- ation (500 imputations), based on predictive mean match- ing, using the ‘aregImpute()’ function in the ‘rms’ R package ...The variables used in the ... See full document
10
Poor sleep quality is associated with increased arterial stiffness in Japanese patients with type 2 diabetes mellitus
... linear regression analysis for continuous variables and logistic regression analysis for categorical ...three models to evaluate the ...mass index (BMI), MEQ, BDI-II, energy ... See full document
7
Performance of PLS regression coefficients in selecting variables for each response of a multivariate PLS for omics-type data
... PLS regression coefficients in selecting variables independently for each response of a two-response ...PLS regression coefficients, was influenced by three factors: the real dataset from which X was ... See full document
14
The Effect of Corruption on Shadow Economy: An Empirical Analysis Based on Panel Data
... corruption index, we employ instrumental variables (IV) in the context of static and dynamic panel regression models- by using TSLS and GMM method of estimation-and compare the results in ... See full document
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Relationship between dietary patterns and risk factors for cardiovascular disease in patients with type 2 diabetes mellitus: a cross-sectional study
... for continuous variables or num- ber (proportion) of patients for categorical ...T2DM based on the results of ...linear regression analysis for con- tinuous variables or logistic ... See full document
11
Use of generalised additive models to categorise continuous variables in clinical prediction
... clinical-prediction models, using Generalised Additive Models (GAMs) with P-spline smoothers to determine the relationship between the continuous predictor and the ...categories based on the ... See full document
13
Selection of Variables in Regression Models Based on Inflated Distributions
... DMFT index indicating the number of teeth decayed, missing or filled and the factors associated with the DMFT index such as caries and periodontitis were ...explanatory variables such as diet and ... See full document
10
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... Data on the visitors present in the lemur enclosure were collected immediately after the scan sampling of the lemur group within the same 5 minute period. This data collection captured not only visitor numbers (crowd ... See full document
8
Linked pair of GCSEs in mathematics (MLP) evaluation
... This pattern persists when one analyses those candidates who completed both MLP qualifications. WJEC has a mean best grade score slightly below the C boundary, whilst all three English boards have a mean best GCSE ... See full document
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Secukinumab efficacy on resolution of enthesitis in psoriatic arthritis: pooled analysis of two phase 3 studies
... Severity Index (PASI) 75 and 90 response rates; and mean change from baseline in Health Assess- ment Questionnaire Disability Index (HAQ-DI), Short Form 36 Physical Component Summary score (SF-36 PCS), and ... See full document
13
Multivariate Analysis of the Fresh State Parameters of Self-Consolidating Concrete
... Initial models that included all variables and interactions were iteratively simplified by discarding terms that were identified as non ...final models for LV1, LV2 and LV3 showed the best fit to the ... See full document
12
The role of intraoperative parameters on predicting laparoscopic abdominal surgery associated acute kidney injury
... We collected patient demographic data, pre-operative clinical characteristics, co-morbid conditions (hyper- tension, diabetes and dyslipidemia) and ASA status. We also collected intraoperative data including type of ... See full document
8
Continuous random variables
... if c is any number in this interval, Pr( X = c ) must be 0, otherwise the sum of all the probabilities would be more than ...a continuous random variable X : for any possible value x , Pr( X = x ) = ... See full document
30
Process Capability Index for Logistic Regression Profile Based on Spmk Index
... interval based on percentile bootstrap ...proposed index and corresponding confidence interval is evaluated through simulation ...the index performs ...proposed index is illustrated through a ... See full document
7
Comparison of Continuum Constitutive Hyperelastic Models based on Exponential Forms
... According to the continuum mechanics theories, there exists the strain energy density function W , which is the property of rubber-like materials. The first Piola-Kirchhoff stress tensor P which is used in the study of ... See full document
8
The Effect of Unstable Models on Robotics
... Recent advances in cacheable communication and embedded configurations offer a viable alternative to sensor networks. The notion that biologists interfere with large-scale models is generally adamantly opposed. ... See full document
5
Modeling for Prediction of Characteristic Deflection of Flexible Pavements- Comparison of Models Based on Artificial Neural Network and Multivariate Regression Analysis
... Multivariate Regression model with those obtained from an Artificial Neural Network model, modelled and based on the extensive test data collected by various agencies engaged in the strengthening of ... See full document
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