Results 41 to 50 of about 277 (152)

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

Resampling-based multiple testing for microarray data analysis

, 2003
multiple testing, family-wise error rate, false discovery rate, adjustedp-value, fast algorithm, minP, microarray, 62J15, 62G09, 62P10,
Dudoit, S., Storey, J., Westfall, P., Kendziorski, C., Terence Speed, Solomon, P., Ge, Y., Speed, T., Maindonald, J., Sandrine Dudoit, Terence P. Speed, Yongchao Ge, Youngchao Ge, Glonek, G., Grant, G.   +14 more
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 weighted quantile regression approach for complex high-dimensional heterogeneous data [PDF]

, 2023
MSC (2020) 主题分类 62G05, 62P10, 62P20.With the development of digital intelligent technology, many problems arise, such as information flooding, computing power expansion, data heterogeneity, and complexity, which bring great challenges to the theories of ...
Xiong, W, Tian, M, Yu, K, Pan, H
core   +1 more source

Asymptotic Behaviour of a Supercritical Galton-Watson Process with Controlled Binomial Migration [PDF]

, 2000
AMS subject classification: 60J80, 62F12, 62P10.This paper considers a branching process generated by an offspring ...
Jacob, Christine, Jacob, C.
core  

An unbiased test for the average equivalence problem - the small sample case

, 2000
Brown et al. (1997, Ann. Statist. 25, 2345-2367) constructed an unbiased test for the bioequivalence problem under some constraints on the level alpha and the sample size. A different construction is presented for the missing cases.
Munk, Axel, Axel Munk
core   +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

Flexible objective Bayesian linear regression with applications in survival analysis [PDF]

, 2016
AMS Subject Classification: 62E15; 62N016; 62N026; 62P10.Supplemental material is available online at: https://www.tandfonline.com/doi/full/10.1080/02664763.2016.1182138# .We study objective Bayesian inference for linear regression models with residual ...
Francisco J. Rubio (2697922), Keming Yu (49950), Yu, K, Yu, K., Yu, Keming, Rubio, FJ, Rubio, F.J., Rubio, Francisco J   +7 more
core   +1 more source