Results 101 to 110 of about 3,057,200 (307)

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian   +6 more
wiley   +1 more source

Cox-proportional-hazard regression model with the outcome overall mortality VLBW and ELBW-infants.

open access: yes, 2016
Cox-proportional-hazard regression model with the outcome overall mortality VLBW and ELBW-infants.
Luisa A. Denkel (199456)   +5 more
core   +1 more source

Disease Course After Anti‐CD20 Discontinuation in Secondary Progressive Multiple Sclerosis—A Multicenter Long‐Term Longitudinal Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto   +12 more
wiley   +1 more source

Vascular Disease, Non‐Steroidal Anti‐Inflammatory Drugs and Risk of Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives A history of vascular disease has been shown to be associated with an increased risk of Parkinson's disease, but this may be due to reverse causation. In addition, non‐steroidal anti‐inflammatory drugs are thought to reduce Parkinson's disease risk, but evidence is inconsistent and confounding by prior vascular disease is possible ...
Clare Wotton   +4 more
wiley   +1 more source

Some Alternatives to the Box-Cox Regression Model [PDF]

open access: yesInternational Economic Review, 1992
Summary: A nonlinear regression model is proposed as an alternative to the Box-Cox regression model for nonnegative variables. The functional form contains linear, exponential, and reciprocal models as special cases. Unlike Box- Cox type approaches, the proposed estimators of the conditional mean function are robust to conditional variance and other ...
openaire   +3 more sources

“Low‐Positive” MOG‐IgG Cases Among Adults With a First Event Suggestive of Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the prevalence and clinical characteristics of patients with “low‐positive” (LP) MOG‐IgG (titres 1:160–1:320) among adults with a first demyelinating event (FDE) suggestive of multiple sclerosis (MS). Methods From the Barcelona CIS inception cohort, we included adult patients with serum collected ≤ 6 months from the FDE.
Javier Villacieros‐Álvarez   +29 more
wiley   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Tie Turning Box-Cox including Quadratic Forms in Regression [PDF]

open access: yes
In a regression model where a Box-Cox transformation is used on a positive independent variable X which appears only once in the equation, the effect of X on the dependent variable Y is either strictly increasing or decreasing over the whole range of X ,
Marc Gaudry, Tran Liem, Ulrich Blum
core  

Comparison of methods for handling outliers in Cox regression model

open access: yes
The Cox regression analysis is used to determine the relationship between a dependent variable and covariates in survival analysis involving censored data.
Alkan, N.   +2 more
core   +1 more source

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