Results 101 to 110 of about 617,011 (320)

Confidence Intervals for Estimates of Elasticities [PDF]

open access: yes
Elasticities are often estimated from the results of demand analysis however, drawing inferences from them may involve assumptions that could influence the outcome.
D. J. Slottje   +1 more
core  

On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference

open access: yes, 2018
Nonparametric methods play a central role in modern empirical work. While they provide inference procedures that are more robust to parametric misspecification bias, they may be quite sensitive to tuning parameter choices.
Calonico, Sebastian   +2 more
core   +2 more sources

Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the utility of smartwatch and smartphone‐based activity metrics for assessing disease severity and quality of life in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). Methods In the electronic monitoring of disease activity in patients with CIDP (EMDA‐CIDP) trial, we performed a prospective ...
Lars Masanneck   +15 more
wiley   +1 more source

Circulating Interleukin‐6 Levels and Timing of Acute Ischemic Stroke Onset

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Intravenous thrombolysis is the most widely available effective ischemic stroke treatment, but is approved only if given within 4.5 h from stroke onset. Many patients are not treated because stroke onset time is unknown. We evaluated the cytokine interleukin 6 (IL‐6) in circulating blood after acute ischemic stroke (AIS).
Robert G. Kowalski   +15 more
wiley   +1 more source

Robust Small Sample Accurate Inference in Moment Condition Models [PDF]

open access: yes
Procedures based on the Generalized Method of Moments (GMM) (Hansen, 1982) are basic tools in modern econometrics. In most cases, the theory available for making inference with these procedures is based on first order asymptotic theory.
Elvezio Ronchetti, Serigne N. Lo
core  

Quantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose This study aimed to explore the association between quantitative shape irregularity and density heterogeneity of hematomas and hematoma expansion (HE) for intracerebral hemorrhage (ICH) patients. Methods This cohort study included patients arriving within 24 h of symptom onset between August 2021 and July 2022 as the derivation cohort ...
Zeqiang Ji   +11 more
wiley   +1 more source

Cognitive Resilience in Apolipoprotein ε4 Carrier Women Predicted by Neuron‐Derived Extracellular Vesicles

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Apolipoprotein (APOE) ε4 allele is the strongest genetic risk factor for late‐onset Alzheimer's disease (AD); however, many ε4 carriers remain cognitively intact into old age. Leveraging plasma neuron‐derived extracellular vesicles (NDEVs), we sought to identify biomarkers of cognitive resilience and their interplay with APOE ...
Apostolos Manolopoulos   +17 more
wiley   +1 more source

Theory and Application of an Economic Performance Measure of Risk [PDF]

open access: yes, 2017
Homm and Pigorsch (2012a) use the Aumann and Serrano index to develop a new economic performance measure (EPM), which is well known to have advantages over other measures.
Guo, Xu   +3 more
core   +1 more source

Using Quantile Regression Approach to Analyze Price Movements of Agricultural Products in China

open access: yesJournal of Integrative Agriculture, 2012
This paper studies how the price movements of pork, chicken and egg respond to those of related cost factors in short terms in Chinese market. We employ a linear quantile approach not only to explore potential data heteroscedasticity but also to generate
Gan-qiong LI   +4 more
doaj  

CFA with binary variables in small samples: A comparison of two methods

open access: yesFrontiers in Psychology, 2015
Asymptotically optimal correlation structure methods with binary data can break down in small samples. A new correlation structure methodology based on a recently developed odds-ratio (OR) approximation to the tetrachoric correlation coefficient is ...
Victoria eSavalei   +2 more
doaj   +1 more source

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