gap (version 1.6)

pfc: Probability of familial clustering of disease

Description

Probability of familial clustering of disease

Usage

pfc(famdata, enum = 0)

Value

The returned value is a list containing (tailp,sump,nenum are only available if enum=1:

• p the probabitly of familial clustering.

• stat the deviances, chi-squares based on binomial and hypergeometric distributions, the degrees of freedom should take into account the number of marginals used.

• tailp the exact statistical significance.

• sump sum of the probabilities used for error checking.

• nenum the total number of tables enumerated.

Arguments

famdata

collective information of sib size, number of affected sibs and their frequencies.

enum

a switch taking value 1 if all possible tables are to be enumerated.

Author

Dani Zelterman, Jing Hua Zhao

Details

To calculate exact probability of familial clustering of disease

References

yu01gap

yu02gap

See Also

kin.morgan

Examples

if (FALSE) {
# IPF among 203 siblings of 100 COPD patients from Liang KY, SL Zeger,
# Qaquish B. Multivariate regression analyses for categorical data
# (with discussion). J Roy Stat Soc B 1992, 54:3-40

# the degrees of freedom is 15
famtest<-c(
1, 0, 36,
1, 1, 12,
2, 0, 15,
2, 1,  7,
2, 2,  1,
3, 0,  5,
3, 1,  7,
3, 2,  3,
3, 3,  2,
4, 0,  3,
4, 1,  3,
4, 2,  1,
6, 0,  1,
6, 2,  1,
6, 3,  1,
6, 4,  1,
6, 6,  1)
test<-t(matrix(famtest,nrow=3))
famp<-pfc(test)
}