Stratified additive Poisson models: computational methods and applications in clinical epidemi\-ology

DOI10.1016/j.csda.2011.08.002zbMath1241.62159OpenAlexW2029139085MaRDI QIDQ433216

Alexandra C. Gillett, Ian C. Marschner, Rachel L. O'Connell

Publication date: 13 July 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.08.002

zbMATH Keywords

clinical trialsPoisson regressionECM algorithmrisk factor model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (4)

Testing constancy in monotone response models ⋮ Fixed points of meromorphic functions and of their differences, divided differences and shifts ⋮ Maximum Likelihood Estimation in the Additive Hazards Model ⋮ Combinatorial EM algorithms

Uses Software

• R

Cites Work

• A semi-parametric generalization of the Cox proportional hazards regression model: inference and applications
• Clinical prediction models. A practical approach to development, validation, and updating.
• Risk of mortality after acute myocardial infarction: performance of model updating methods for application in different geographical regions
• Maximum likelihood estimation via the ECM algorithm: A general framework
• The EM Algorithm and Extensions, 2E
• Multiplicative Models and Cohort Analysis
• A flexible additive multiplicative hazard model
• Parameter Estimation and Goodness-of-Fit in Log Binomial Regression
• A Statistical Model for Positron Emission Tomography
• Quasi-likelihood estimation for relative risk regression models
• Regression modeling strategies. With applications to linear models, logistic regression and survival analysis

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