Results 181 to 190 of about 6,102,677 (302)

Geographically weighted negative binomial regression for spatial count data: Methodology and application. [PDF]

MethodsX
Saifudin T, Chamidah N, Azizah N, Renianti FS, Carista N, Adyatma IY, Tianda IM.   +6 more
europepmc   +1 more source

Order restricted row‐column cluster randomized design

Canadian Journal of Statistics, EarlyView.
Abstract This research introduces a novel two‐stage cluster randomized design, the order restricted row‐column cluster randomized design. The new design builds upon the cluster randomized block design by incorporating a second layer of blocking, achieved through ranking cluster units that are randomly sampled from the population.
Dalton Hopper, Omer Ozturk, Olena Kravchuk   +2 more
wiley   +1 more source

Lifetime HIV testing frequency among women in Sub-Saharan Africa: A DHS-based analysis using zero-inflated negative binomial regression. [PDF]

PLoS One
Aemro A, Zegeye AF, Mekonen EG, Wassie YA, Melaku MS, Demilew BC.   +5 more
europepmc   +1 more source

A four-level zero-inflated negative binomial regression model for inpatient service use^a.

A four-level zero-inflated negative binomial regression model for inpatient service usea.
Xi Li (19208), Peipei Chai (17023472), Theo Niyonsenga (8269236), Itismita Mohanty (2735569)   +3 more
core   +1 more source

The life and work of Ernest Sydney Keeping

Canadian Journal of Statistics, EarlyView.
Abstract This article reviews the life and contributions of Ernest S. Keeping (1895–1984), a British‐born physicist who became a mathematics professor at the University of Alberta in 1929. He played a pivotal role in shaping the university's Mathematics Department, serving as its head from 1954 to 1961, and continuing to teach until 1970, nine years ...
David R. Bellhouse, Christian Genest
wiley   +1 more source

On the robustness of truncated negative binomial regression model: application to field epidemiology. [PDF]

J Appl Stat
Yu J, Kim C, Oh J, Tai AS, Lee W.
europepmc   +1 more source

Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models. [PDF]

BMC Res Notes, 2021
Farhadian M, Mohammadi Y, Mirzaei M, Shirmohammadi-Khorram N.   +3 more
europepmc   +1 more source

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

Canadian Journal of Statistics, EarlyView.
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley   +1 more source

Socio-demographic and environmental determinants of camel mortality in Somaliland's nomadic communities: A negative binomial regression analysis of the 2020 demographic and health survey. [PDF]

PLoS One
Hassan MA, Salih O.
europepmc   +1 more source

CNBREG: Stata module to estimate negative binomial regression - canonical parameterization

cnbreg fits a maximum-likelihood negative binomial regression model, with canonical parameterization, of depvar on indepvars, where depvar is a non-negative count variable.
Joseph Hilbe
core