A Systematic Review and Meta‐Analysis of the Recurrence of Autoimmune Encephalitis
ABSTRACT Objective Autoimmune encephalitis (AE) is a disease with a potential for recurrence, and patients receive immunotherapy to prevent it. However, there is no consensus on the duration of immunotherapy. This study aimed to determine the recurrence rate and identify the risk factors for AE to provide guidance on the duration of immunotherapy ...
Shangkai Bai +5 more
wiley +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source
Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures. [PDF]
Ouyang Y, Taljaard M, Forbes AB, Li F.
europepmc +1 more source
Application of zero-inflated Poisson model with heterogeneous random effects to evaluate the effect of oral health education on pregnant women's dental caries: A longitudinal experimental study. [PDF]
Ahmadi Gooraji S +6 more
europepmc +1 more source
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects. [PDF]
Heiling HM +5 more
europepmc +1 more source
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Fixed-effect Versus Random-effects Models for Meta-analyses: Random-effects Models
European Urology Focus, 2023Random-effects models can account for variability both within and between studies. This makes them suitable for meta-analyses in surgery, where there is often significant heterogeneity between studies or heterogeneity owing to intrinsic differences attributable to patient or population factors.
Alex L.E. Halme +2 more
openaire +2 more sources
This chapter is concerned with random effects models for analyzing nonnormal data that are assumed to be clustered or correlated. The clustering may be due to repeated measurements over time, as in longitudinal studies, or to subsampling the primary sampling units, as in cross-sectional studies.
Ludwig Fahrmeir, Gerhard Tutz
openaire +1 more source

