21 citations · 46 across the 8 of their papers we have counts for
10 papers
Bayesian epidemic alignment for causal evaluation of seasonal infectious-disease interventions
David Moriña
Seasonal infectious-disease interventions are commonly evaluated with interrupted time-series or pre--post designs that align epidemics by calendar week. When epidemic onset, speed…
Good distribution modelling with the R package good
Jordi Tur, David Moriña, Pedro Puig +3
Although models for count data with over-dispersion have been widely considered in the literature, models for under-dispersion -- the opposite phenomenon -- have received less atte…
Analysis of zero inflated dichotomous variables from a Bayesian perspective: Application to occupational health
David Moriña, Pedro Puig, Albert Navarro
This work proposes a new methodology to fit zero inflated Bernoulli data from a Bayesian approach, able to distinguish between two potential sources of zeros (structurals and non-s…
Bayesian Synthetic Likelihood Estimation for Underreported Non-Stationary Time Series: Covid-19 Incidence in Spain
David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña +2
The problem of dealing with misreported data is very common in a wide range of contexts for different reasons. The current situation caused by the Covid-19 worldwide pandemic is a…
Left-censored recurrent event analysis in epidemiological studies: a proposal when the number of previous episodes is unknown
Gilma Hernández-Herrera, David Moriña, Albert Navarro
Left censoring can occur with relative frequency when analysing recurrent events in epidemiological studies, especially observational ones. Concretely, the inclusion of individuals…
Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case
Amanda Fernández-Fontelo, David Moriña, Alejandra Cabaña +2
The present paper introduces a new model used to study and analyse the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) epidemic-reported-data from Spain. This is a Hidd…
Cumulated burden of Covid-19 in Spain from a Bayesian perspective
David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña +3
The main goal of this work is to estimate the actual number of cases of Covid-19 in Spain in the period 01-31-2020 / 06-01-2020 by Autonomous Communities. Based on these estimates,…
Regression-based imputation of explanatory discrete missing data
Gilma Hernández-Herrera, Albert Navarro, David Moriña
Imputation of missing values is a strategy for handling non-responses in surveys or data loss in measurement processes, which may be more effective than ignoring them. When the var…
Quantifying the under-reporting of genital warts cases
David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña +4
Genital warts are a common and highly contagious sexually transmitted disease. They have a large economic burden and affect several aspects of quality of life. Incidence data under…
New statistical model for misreported data with application to current public health challenges
David Moriña, Amanda Fernández-Fontelo, Alejandra Cabaña +1
The main goal of this work is to present a new model able to deal with potentially misreported continuous time series. The proposed model is able to handle the autocorrelation stru…