Results 41 to 50 of about 754 (135)

How to reduce the number of rating scale items without predictability loss? [PDF]

Rating scales are used to elicit data about qualitative entities (e.g., research collaboration). This study presents an innovative method for reducing the number of rating scale items without the predictability loss. The "area under the receiver operator
Araya, R., Garcia-Campayo, J., Kakiashvili, T., Koczkodaj, W. W., Montero-Marin, J., Rutkowski, K., Strzałka, D., Szymańska, A.   +7 more
core   +1 more source

Tree-based conditional copula estimation

Dependence Modeling
This article proposes a regression tree procedure to estimate conditional copulas. The associated algorithm determines classes of observations based on covariate values and fits a simple parametric copula model on each class.
Bonacina Francesco, Lopez Olivier, Thomas Maud   +2 more
doaj   +1 more source

Simulation study on the impact of measurement errors in hierarchical Bayesian semi-parametric models

Computational and Mathematical Biophysics
This study examines the impact of measurement errors on parameter estimates within hierarchical Bayesian semiparametric (HBS) models, with a focus on the Lotka–Volterra predator–prey model as a case study.
Langat Amos Kipkorir, Mwalili Samuel Musili, Kazembe Lawrence Ndekeleni   +2 more
doaj   +1 more source

Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection

Journal of Causal Inference
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

Computational and Mathematical Biophysics
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, Mwalili Samuel Musili, Mbogo Rachel, Mutinda John Kamwele, Langat Amos Kipkorir   +4 more
doaj   +1 more source

On construction of the smallest one-sided confidence interval for the difference of two proportions [PDF]

For any class of one-sided $1-\alpha$ confidence intervals with a certain monotonicity ordering on the random confidence limit, the smallest interval, in the sense of the set inclusion for the difference of two proportions of two independent binomial ...
Wang, Weizhen
core   +1 more source

Markov modeling on dynamic state space for genetic disorders and infectious diseases with mutations: Probabilistic framework, parameter estimation, and applications

Computational and Mathematical Biophysics
The emergence and dynamic prevalence of genetic disorders and infectious diseases with mutations pose significant challenges for public health interventions.
Baranon Mouhamadou Djima, Weke Patrick Guge Oloo, Alladatin Judicaël, Ale Boni Maxime   +3 more
doaj   +1 more source

A causal framework for the self-controlled case series design

Journal of Causal Inference
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, Gail Mitchell H., Follmann Dean   +2 more
doaj   +1 more source

A practical illustration of the importance of realistic individualized treatment rules in causal inference

The effect of vigorous physical activity on mortality in the elderly is difficult to estimate using conventional approaches to causal inference that define this effect by comparing the mortality risks corresponding to hypothetical scenarios in which all ...
Bembom, Oliver, van der Laan, Mark J.
core   +2 more sources

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, Jones, Graham, Oxelman, Bengt, Sagitov, Serik   +3 more
core   +2 more sources