Results 41 to 50 of about 728 (114)
Time-dependent coarse structural nested mean models (coarse SNMMs) were developed to estimate treatment effects from longitudinal observational data. Coarse SNMMs estimate the combined effect of multiple treatment dosages and are thus useful to estimate ...
Lok Judith J.
doaj +1 more source
Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya
This study aims to enhance coronavirus disease 2019 forecasting in Kenya by comparing the predictive performance of statistical, machine learning, and deep learning (DL) models for total cases, critical cases, severe cases, and total deaths, using data ...
Kiarie Joyce +4 more
doaj +1 more source
About the Oral Health of Bulgarian Population over 20 Years Old [PDF]
2000 Mathematics Subject Classification: 62P10, 62J12.Caries is the most widespread dental disease around the world. Thus, caries prevalence and intensity are repeatedly studied.
Bonev, Boyko, Daskalova, Nina
core
Time to a single hybridization event in a group of species with unknown ancestral history
We consider a stochastic process for the generation of species which combines a Yule process with a simple model for hybridization between pairs of co-existent species.
Bartoszek, Krzysztof +3 more
core +1 more source
The emergence and dynamic prevalence of genetic disorders and infectious diseases with mutations pose significant challenges for public health interventions.
Baranon Mouhamadou Djima +3 more
doaj +1 more source
A causal framework for the self-controlled case series design
Vaccine safety surveillance programs that monitor possible short-term rare adverse events following vaccination usually only have access to data on vaccinated individuals who experienced the event of interest.
Etiévant Lola +2 more
doaj +1 more source
Analysing and Monitoring Surveillance Data of Mumps in Bulgaria [PDF]
2000 Mathematics Subject Classification: 62P10.This paper aims to present the applicability of the Bayesian methodology for monitoring surveillance data collected for vaccine-preventable diseases, like mumps, measles and possibly others.
Kojouharova, M. +3 more
core
Beyond conditional averages: Estimating the individual causal effect distribution
In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation.
Post Richard A. J. +1 more
doaj +1 more source
The positivity assumption is central in the identification of a causal effect. Especially its stochastic variant is an issue many applied researchers face.
Ring Katharina, Schomaker Michael
doaj +1 more source
A Gibbs approach to Chargaff's second parity rule
Chargaff's second parity rule (CSPR) asserts that the frequencies of short polynucleotide chains are the same as those of the complementary reversed chains.
A. Hart +17 more
core +2 more sources

