Results 201 to 210 of about 2,795,262 (398)
Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey +4 more
wiley +1 more source
Research on the impact of ecological additives on selected parameters and the microbiological distribution of marine engine oil. [PDF]
Krakowski R.
europepmc +1 more source
Time-Optimal Heliocentric Transfers With a Constant-Power, Variable-Isp Engine
Olšina, Jan
openalex +1 more source
Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron +5 more
wiley +1 more source
Optimization of compression ratio in LHR engine fueled with nano Al<sub>2</sub>O<sub>3</sub>-emulsified biodiesel using RSM and machine learning. [PDF]
Gopidesi RK +8 more
europepmc +1 more source
ABSTRACT Objectives WHO grade 4 astrocytomas are associated with poor prognosis, and their prognostic factors remain controversial. This study aimed to identify the prognostic factors and develop a management algorithm for these patients. Methods This study retrospectively included 151 CNS5 adult grade 4 astrocytomas from two medical centers.
Jiawei Cai +13 more
wiley +1 more source
Objective 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 the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source

