Sums of dependent Bernoulli random variables and disease clustering
From MaRDI portal
Publication:1613089
DOI10.1016/S0167-7152(02)00091-3zbMath1004.60008OpenAlexW2026226851MaRDI QIDQ1613089
Publication date: 5 September 2002
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-7152(02)00091-3
Related Items (12)
The Bayesian restricted Conway-Maxwell-binomial model to control dispersion in count data ⋮ A New Markov Binomial Distribution ⋮ A generalized correlated binomial distribution with application in multiple testing problems ⋮ A generalization of the Binomial distribution based on the dependence ratio ⋮ A test for self-exciting clustering mechanism ⋮ A modified Conway–Maxwell–Poisson type binomial distribution and its applications ⋮ Statistical tests for the intersection of independent lists of genes: sensitivity, FDR, and type I error control ⋮ A COM-Poisson type generalization of the binomial distribution and its properties and applications ⋮ On Generalized Binomial and Negative Binomial Distributions for Dependent Bernoulli Variables ⋮ Estimation of log-linear-binomial distribution with applications ⋮ Statistical Inference for Familial Disease Clusters ⋮ Sums of exchangeable Bernoulli random variables for family and litter frequency data
Cites Work
- Unnamed Item
- Unnamed Item
- Log-linear models and frequency tables with small expected cell counts
- Statistical Inference for Familial Disease Clusters
- Goodness-of-Fit Tests for Large Sparse Multinomial Distributions
- Marginal regression analysis of a multivariate binary response
- Two Generalizations of the Binomial Distribution
- Tests of Independence, Treatment Heterogeneity, and Dose-Related Trend With Exchangeable Binary Data
- EXACT INFERENCE FOR FAMILY DISEASE CLUSTERS
- A Full Likelihood Procedure for Analysing Exchangable Binary Data
- A Saturated Model for Analyzing Exchangeable Binary Data: Applications to Clinical and Developmental Toxicity Studies
This page was built for publication: Sums of dependent Bernoulli random variables and disease clustering