Improved estimation in negative binomial regression
Sign Up to like & getrecommendations! 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
A negative binomial regression model for risk estimation of 0–2 axillary lymph node metastases in breast cancer patients
Sign Up to like & getrecommendations! 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
Multidimensional beta-binomial regression model: A joint analysis of patient-reported outcomes
Sign Up to like & getrecommendations! 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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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
Sign Up to like & getrecommendations! 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].
Sign Up to like & getrecommendations! 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