Home ›
Entities
› academia
› Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification
Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification
Research article (BMC Medical Research Methodology, 2018) · cited 545× · AI/ML
Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification
Summary
Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification is a scholarly article[1].
Key Facts
Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-performance-between-log-binomial-and-robust-poisson-regression-models-for-estimating-risk-ratios-under-model-m
MLA“Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-performance-between-log-binomial-and-robust-poisson-regression-models-for-estimating-risk-ratios-under-model-m.
BibTeX@misc{4ortxyz_comparing-performance-between-log-binomial-and-robust-poisson-regression-models-for-estimating-risk-ratios-under-model-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-performance-between-log-binomial-and-robust-poisson-regression-models-for-estimating-risk-ratios-under-model-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification — https://4ort.xyz/entity/comparing-performance-between-log-binomial-and-robust-poisson-regression-models-for-estimating-risk-ratios-under-model-m (retrieved 2026-05-24)
