Results 61 to 70 of about 540,575 (323)

CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration ...
Jon Rodriguez‐Antiguedad   +7 more
wiley   +1 more source

The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators [PDF]

open access: yes, 2009
Residuals in regression models are often spatially correlated. Prominent examples include studies in environmental epidemiology to understand the chronic health effects of pollutants.
Paciorek, Christopher J.
core   +3 more sources

An Analysis for IDH‐Mutant Grade 4 Astrocytoma Based on WHO CNS 5: Implication of Clinical Practice

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose There is ongoing debate regarding the therapeutic approach and prognosis for IDH‐mutant grade 4 astrocytoma, a newly defined subtype of diffuse glioma in the 2021 WHO classification system for central nervous system tumors (WHO CNS 5). The aim of this study was to explore the clinical outcome and prognosticators for newly diagnosed IDH‐
Xianxin Qiu   +13 more
wiley   +1 more source

Randomization Tests that Condition on Non-Categorical Covariate Balance

open access: yesJournal of Causal Inference, 2019
A benefit of randomized experiments is that covariate distributions of treatment and control groups are balanced on average, resulting in simple unbiased estimators for treatment effects.
Branson Zach, Miratrix Luke W.
doaj   +1 more source

A Simple Test for the Absence of Covariate Dependence in Hazard Regression Models [PDF]

open access: yes, 2004
This paper extends commonly used tests for equality of hazard rates in a two-sample or k-sample setup to a situation where the covariate under study is continuous.
Bhattacharjee, Arnab
core   +4 more sources

The potential for bias in principal causal effect estimation when treatment received depends on a key covariate

open access: yes, 2011
Motivated by a potential-outcomes perspective, the idea of principal stratification has been widely recognized for its relevance in settings susceptible to posttreatment selection bias such as randomized clinical trials where treatment received can ...
Belin, Thomas R., Zigler, Corwin M.
core   +1 more source

Ambivalent covariance models [PDF]

open access: yesBMC Bioinformatics, 2015
Evolutionary variations let us define a set of similar nucleic acid sequences as a family if these different molecules execute a common function. Capturing their sequence variation by using e. g. position specific scoring matrices significantly improves sensitivity of detection tools.
Janssen, Stefan, Giegerich, Robert
openaire   +3 more sources

EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke   +12 more
wiley   +1 more source

Inference after covariate-adaptive randomisation: aspects of methodology and theory

open access: yesStatistical Theory and Related Fields, 2021
Covariate-adaptive randomisation has a more than 45 years of history of applications in clinical trials, in order to balance treatment assignments across prognostic factors that may have influence on the outcomes of interest.
Jun Shao
doaj   +1 more source

Covariate assisted screening and estimation

open access: yes, 2014
Consider a linear model $Y=X\beta+z$, where $X=X_{n,p}$ and $z\sim N(0,I_n)$. The vector $\beta$ is unknown but is sparse in the sense that most of its coordinates are $0$. The main interest is to separate its nonzero coordinates from the zero ones (i.e.,
Fan, Jianqing   +2 more
core   +1 more source

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