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   Articles with "binomial regression" as a keyword



Improved estimation in negative binomial regression

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9361

Abstract: Negative binomial regression is commonly employed to analyze overdispersed count data. With small to moderate sample sizes, the maximum likelihood estimator of the dispersion parameter may be subject to a significant bias, that in turn… read more here.

Keywords: bias; maximum likelihood; negative binomial; estimation ... See more keywords
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A negative binomial regression model for risk estimation of 0–2 axillary lymph node metastases in breast cancer patients

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recommendations! Published in 2020 at "Scientific Reports"

DOI: 10.1038/s41598-020-79016-4

Abstract: Extensive clinical trials indicate that patients with negative sentinel lymph node biopsy do not need axillary lymph node dissection (ALND). However, the ACOSOG Z0011 trial indicates that patients with clinically negative axillary lymph nodes (ALNs)… read more here.

Keywords: binomial regression; lymph; model; axillary lymph ... See more keywords

Choosing between modified Poisson and log-binomial regression: evidence for the superiority of modified Poisson regression under heterogeneous risk ratios.

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recommendations! Published in 2025 at "American journal of epidemiology"

DOI: 10.1093/aje/kwaf232

Abstract: Although logistic regression is commonly used to obtain a summary measure of the exposure-outcome association, log-binomial regression and modified (robust) Poisson regression are two increasingly popular methods for estimating the risk ratio with adjustment for… read more here.

Keywords: log binomial; risk; binomial regression; modified poisson ... See more keywords

A robust regression model for bounded count health data

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recommendations! Published in 2024 at "Statistical Methods in Medical Research"

DOI: 10.1177/09622802241259178

Abstract: Bounded count response data arise naturally in health applications. In general, the well-known beta-binomial regression model form the basis for analyzing this data, specially when we have overdispersed data. Little attention, however, has been given… read more here.

Keywords: regression model; beta binomial; binomial regression; regression ... See more keywords

Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes

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recommendations! Published in 2023 at "Statistical Modelling"

DOI: 10.1177/1471082x231151311

Abstract: Patient-reported outcomes (PROs) are often used as primary outcomes in clinical research studies. PROs are usually measured in ordinal scales and they tend to have excess variability beyond the binomial distribution, a property called overdispersion.… read more here.

Keywords: reported outcomes; joint analysis; patient reported; analysis ... See more keywords

Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model

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recommendations! Published in 2022 at "Clinical Trials"

DOI: 10.1177/17407745211063479

Abstract: Background/aims This work is motivated by the HEALing Communities Study, which is a post-test only cluster randomized trial in which communities are randomized to two different trial arms. The primary interest is in reducing opioid… read more here.

Keywords: regression; coefficient; community; cluster ... See more keywords

Binomial Regression Models with a Flexible Generalized Logit Link Function

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recommendations! Published in 2020 at "Symmetry"

DOI: 10.3390/sym12020221

Abstract: In binomial regression, a link function is used to join the linear predictor variables and the expectation of the response variable. This paper proposes a flexible link function from a new class of generalized logistic… read more here.

Keywords: flexible generalized; binomial regression; link; generalized logit ... See more keywords

[Evaluation of estimation of prevalence ratio using bayesian log-binomial regression model].

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recommendations! Published in 2017 at "Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi"

DOI: 10.3760/cma.j.issn.0254-6450.2017.03.025

Abstract: To evaluate the estimation of prevalence ratio (PR) by using bayesian log-binomial regression model and its application, we estimated the PR of medical care-seeking prevalence to caregivers' recognition of risk signs of diarrhea in their… read more here.

Keywords: regression model; binomial regression; model; log binomial ... See more keywords