Description Usage Format Details Source References Examples
Lung cancer mortality in the 84 largest Missouri cities, for males aged 45-54, 1972-1981. Data presented in Tsutakawa (1985).
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A data frame with 84 observations on the following 2 variables.
Size
population of the city.
Deaths
number of lung cancer deaths.
The data set was analyzed using a Poisson model with normal random effect in Tsutakawa (1985), and using a binomial logit model with unspecified random effect distribution in Aitkin (1996b). Aitkin fitted this model with GLIM4.
Tsutakawa, R. (1985).
Aitkin, M. (1996b). Empirical Bayes shrinkage using posterior random effect means from nonparametric maximum likelihood estimation in general random effect models. Statistical Modelling: Proceedings of the 11th IWSM 1996, 87-94.
Tsutakawa, R. (1985). Estimation of Cancer Mortalilty Rates: A Bayesian Analysis of Small Frequencies. Biometrics 41, 69-79.
1 2 3 |
1 ..2 ..3 ..4 ..5 ..6 ..7 ..8 ..9 ..10 ..11 ..12 ..13 ..14 ..15 ..16 ..17 ..18 ..19 ..
EM algorithm met convergence criteria at iteration # 19
Disparity trend plotted.
EM Trajectories plotted.
Call: alldist(formula = Deaths ~ 1, random = ~1, family = poisson(link = "log"), data = missouri, k = 2, offset = log(Size))
Coefficients:
MASS1 MASS2
-4.844 -4.232
Random effect distribution - standard deviation: 0.2207407
Mixture proportions:
MASS1 MASS2
0.8461624 0.1538376
-2 log L: 355.3
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