Results 111 to 120 of about 3,428,862 (283)
New Liu Estimators for the Poisson Regression Model: Method and Application [PDF]
A new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical
Shukur, Ghazi +3 more
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Objective Identification of cerebral amyloid angiopathy (CAA) before its hemorrhagic manifestations remains limited. We aimed to determine whether severe enlarged perivascular spaces in the centrum semiovale (EPVS‐CSO) identify a prehemorrhagic stage of sporadic CAA by predicting the first appearance of CAA‐related hemorrhagic lesions or incident ...
Baris Alten +8 more
wiley +1 more source
Reducing the bias of the maximum likelihood estimator for the Poisson regression model [PDF]
We derive expressions for the first-order bias of the MLE for a Poisson regression model and show how these can be used to adjust the estimator and reduce bias without increasing MSE.
Hui Feng, David E Giles
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Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance [PDF]
In this paper we propose an alternative and modified Generalized Regression Neural Networks Autoregressive model (GRNN-AR) in S&P 500 and FTSE 100 index returns, as also in Gross domestic product growth rate of Italy, USA and UK. We compare the forecasts
Giovanis, Eleftherios
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Objective Nonmelanoma skin cancer (NMSC) is one of the most common malignancies in rheumatoid arthritis (RA). This analysis assessed NMSC risk with JAK inhibitors (JAKi) compared to interleukin‐6 receptor inhibitors (IL‐6Ri). Methods This study used data from the British Society for Rheumatology Biologics Register for Rheumatoid Arthritis linked to the
Zixing Tian +8 more
wiley +1 more source
Modelling Truncated and Clustered Count Data
Count response data often exhibit departures from the assumptions of standard Poisson generalized linear models (McCullagh & Nelder 1989). In particular, cluster level correlation of the data and truncation at zero are two common characteristics of ...
Saei, Ayoub, Chambers, Ray
core +1 more source
ABSTRACT Catatonia occurs disproportionately in autistic individuals and may respond to electroconvulsive therapy (ECT), yet prior reports suggest greater treatment burden in this population. We compared longitudinal ECT utilization, safety, and clinical outcomes between autistic and non‐autistic patients with catatonia.
Joshua Ryan Smith +15 more
wiley +1 more source
Aims This study aimed to investigate the incidence of low‐dose quetiapine initiation and associated factors in adults newly diagnosed with depression in primary care. Methods We obtained medication dispensing records, primary and secondary care diagnoses and employment status for antipsychotic‐naïve individuals aged 16–65 newly diagnosed with ...
Laura Purra +5 more
wiley +1 more source
Generalized linear models based on Poisson regression are commonly applied to count data for area morbidity outcomes, focused on modelling the conditional mean of the response as a function of a set of risk factors. Mean regression models may be sensitive to outliers and provide no information on other distributional features of the response.
openaire +1 more source
Forecasting based on Very Small Samples and Additional Non-Sample Information [PDF]
Generalized method of moments estimation and forecasting is introduced for very small samples when additional non-sample information is available. Small simulation experiments are conducted for the linear model with errors-in-variables and for a Poisson ...
Hellström, Jörgen, Brännäs, Kurt
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