Related Experiment Video
Updated: Aug 14, 2026

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells
Published on: February 8, 2018
A hierarchical non-homogenous Poisson model for meta-analysis of adenoma counts
Carolyn M Rutter1, Onchee Yu, Diana L Miglioretti
1Center for Health Studies, Group Health Cooperative, 1730 Minor Ave, Ste 1600 Seattle WA 98101, USA. rutter.c@ghc.org
Abstract:
We use a hierarchical model for a meta-analysis that combines information from autopsy studies of adenoma prevalence and counts. The studies we included reported findings using a variety of adenoma prevalence groupings and age categories. We use a non-homogeneous Poisson model for multinomial bin probabilities. The Poisson model allows risk to depend on age and sex, and incorporates extra-Poisson variability. We evaluate model fit using the posterior predicted distribution of adenoma prevalence reported by the studies included in our analyses and validate our model using adenoma prevalence reported by more recent colonoscopy studies. For 1990, the estimated adenoma prevalence among Americans at age 60 is 40.3 per cent for men compared to 29.2 per cent for women.
Related Concept Videos
Mechanistic Models: Compartment Models in Individual and Population Analysis
Comparing the Survival Analysis of Two or More Groups
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Analysis of Population Pharmacokinetic Data
Pharmacodynamic Models: Additive and Proportional Drug Effect Model
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...