causality

Causal discovery in the presence of discrete latent variables

Rune Christiansen and Jonas Peters / 2020-12-15

We address the problem of causal structure learning in the presence of hidden variables. Given a target variable and a vector of covariates, we are trying to infer the set of observable causal parents of the target variable. There are many good reasons for being interested in causal predictors.…

statistics

A Tale of Two Parasites...one statistician's career journey

Peter J. Diggle, Emanuele Giorgi, Julienne Atsame, Sylvie Ntsame Ella, Kisito Ogoussan, and Katherine Gass / 2020-10-05

Vector-borne diseases have long presented major challenges to the health of rural communities in the wet tropical regions of the world, but especially in sub-Saharan Africa. In this paper, we describe the contribution that statistical modelling has made to the global elimination programme for one…

statistics

A New Approach to Treatment Selection to Benefit Patient Outcomes in Clinical Trials

Pavel Mozgunov and Thomas Jaki / 2020-10-04

The question of selecting the “best” amongst different choices is a common problem in our lives. In clinical trials, our main field research, the question usually translates to “Out of a number of alternative treatments, which one treats the patients best?”. A traditional…

statistics

Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data

Damjan Manevski, Nina Ružić Gorenjec, Nataša Kejžar, Rok Blagus and Maja Pohar Perme / 2020-10-01

As the COVID-19 pandemic spread across the world at the beginning of 2020, statistically modeling its development became of big interest. The main focus of this work was to analyze the spread of the disease and its main characteristics for Slovenia using publicly available COVID-19 data. Our work…

statistics

The scientific collaboration of researchers and organizations in Slovenia

Marjan Cugmas, Franc Mali and Aleš Žiberna / 2020-10-01

As a scientific community, we must understand how scientific collaboration (SC) works on both the individual and organizational levels to be able to propose R&D policies that are efficient. Unfortunately, the interdependent nature of SC among different levels is often not well considered in…