research
∙
05/04/2021
Good distribution modelling with the R package good
Although models for count data with over-dispersion have been widely con...
share
research
∙
05/03/2021
Analysis of zero inflated dichotomous variables from a Bayesian perspective: Application to occupational health
This work proposes a new methodology to fit zero inflated Bernoulli data...
research
∙
04/15/2021
Bayesian Synthetic Likelihood Estimation for Underreported Non-Stationary Time Series: Covid-19 Incidence in Spain
The problem of dealing with misreported data is very common in a wide ra...
research
∙
02/22/2021
Left-censored recurrent event analysis in epidemiological studies: a proposal when the number of previous episodes is unknown
Left censoring can occur with relative frequency when analysing recurren...
research
∙
08/01/2020
Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case
The present paper introduces a new model used to study and analyse the s...
research
∙
07/29/2020
Regression-based imputation of explanatory discrete missing data
Imputation of missing values is a strategy for handling non-responses in...
research
∙
03/20/2020
Quantifying the under-reporting of genital warts cases
Genital warts are a common and highly contagious sexually transmitted di...
research
∙
03/20/2020