Results 101 to 110 of about 2,017,337 (259)
EXPLAINED VARIATION FOR LOGISTIC REGRESSION [PDF]
Martina Mittlböck, MICHAEL SCHEMPER
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Objective We assessed whether shared decision‐making (SDM), and patient acceptability, feasibility, and overall satisfaction with a computerized patient decision aid (PtDA) for patients with systemic lupus erythematosus (SLE), differs by PtDA setting, modality, and the viewing experience.
Jasvinder A. Singh +3 more
wiley +1 more source
WEIGHTED LIKELIHOOD, PSEUDO-LIKELIHOOD AND MAXIMUM LIKELIHOOD METHODS FOR LOGISTIC REGRESSION ANALYSIS OF TWO-STAGE DATA [PDF]
Norman E. Breslow, Richard Holubkov
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Objective Lupus low disease activity state (LLDAS) is a validated treatment target in systemic lupus erythematosus (SLE) but limited studies have explored the role of LLDAS in lupus nephritis (LN). This study aims to investigate the frequency and predictors of LLDAS attainment, and its benefit on LN relapse and renal function preservation in patients ...
Chak Kwan Cheung +6 more
wiley +1 more source
Multivariate logistic regression analysis using multilevel model
Background & Aim: One of the basic assumptions in simple linear regression models is the statistical independence of observations. Sometimes this assumption is not true for study subject and consequently the use of general regression models may not be ...
Ahmad Vakili Basir +2 more
doaj
Prediction and Cross-Validation of Neural Networks Versus Logistic Regression: Using Hepatic Disorders as an Example [PDF]
Mei Sheng Duh +3 more
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Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim +18 more
wiley +1 more source
Endogeneity in Logistic Regression Models
George Avery +2 more
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Linear and logistic regression: A medical perspective [PDF]
Logistic regression as the standard tool for extending the concepts of linear regression to binary outcomes. Binary outcomes have two states, such as death (dead or alive) or allergic reaction (present or absent), in contrast to continuous variables ...
S. Gothai Nachiyar +2 more
doaj

