General mixed Poisson regression models with varying dispersion

2015 ◽  
Vol 26 (6) ◽  
pp. 1263-1280 ◽  
Author(s):  
Wagner Barreto-Souza ◽  
Alexandre B. Simas
Algorithms ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 16
Author(s):  
George Tzougas ◽  
Natalia Hong ◽  
Ryan Ho

In this article we present a class of mixed Poisson regression models with varying dispersion arising from non-conjugate to the Poisson mixing distributions for modelling overdispersed claim counts in non-life insurance. The proposed family of models combined with the adopted modelling framework can provide sufficient flexibility for dealing with different levels of overdispersion. For illustrative purposes, the Poisson-lognormal regression model with regression structures on both its mean and dispersion parameters is employed for modelling claim count data from a motor insurance portfolio. Maximum likelihood estimation is carried out via an expectation-maximization type algorithm, which is developed for the proposed family of models and is demonstrated to perform satisfactorily.


Author(s):  
Dafina Petrova ◽  
Marina Pollán ◽  
Miguel Rodriguez-Barranco ◽  
Dunia Garrido ◽  
Josep M. Borrás ◽  
...  

Abstract Background The patient interval—the time patients wait before consulting their physician after noticing cancer symptoms—contributes to diagnostic delays. We compared anticipated help-seeking times for cancer symptoms and perceived barriers to help-seeking before and after the coronavirus pandemic. Methods Two waves (pre-Coronavirus: February 2020, N = 3269; and post-Coronavirus: August 2020, N = 1500) of the Spanish Onco-barometer population survey were compared. The international ABC instrument was administered. Pre–post comparisons were performed using multiple logistic and Poisson regression models. Results There was a consistent and significant increase in anticipated times to help-seeking for 12 of 13 cancer symptoms, with the largest increases for breast changes (OR = 1.54, 95% CI 1.22–1–96) and unexplained bleeding (OR = 1.50, 1.26–1.79). Respondents were more likely to report barriers to help-seeking in the post wave, most notably worry about what the doctor may find (OR = 1.58, 1.35–1.84) and worry about wasting the doctor’s time (OR = 1.48, 1.25–1.74). Women and older individuals were the most affected. Conclusions Participants reported longer waiting times to help-seeking for cancer symptoms after the pandemic. There is an urgent need for public interventions encouraging people to consult their physicians with symptoms suggestive of cancer and counteracting the main barriers perceived during the pandemic situation.


2021 ◽  
Vol 215 ◽  
pp. 288-318
Author(s):  
Youssef Kassem ◽  
Hüseyin Gökçekuş

2018 ◽  
Vol 46 (9) ◽  
pp. 1567-1581 ◽  
Author(s):  
Shrabanti Chowdhury ◽  
Saptarshi Chatterjee ◽  
Himel Mallick ◽  
Prithish Banerjee ◽  
Broti Garai

2011 ◽  
Vol 34 (4) ◽  
pp. 575-582 ◽  
Author(s):  
Fabyano Fonseca Silva ◽  
Karen P. Tunin ◽  
Guilherme J.M. Rosa ◽  
Marcos V.B. da Silva ◽  
Ana Luisa Souza Azevedo ◽  
...  

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