pfc {gap} | R Documentation |
Probability of familial clustering of disease
pfc(famdata, enum = 0)
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. |
To calculate exact probability of familial clustering of disease
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.
Adapted from family.for by Dani Zelterman, 25/7/03
Dani Zelterman, Jing Hua Zhao
Yu C, Zelterman D (2001). “Exact inference for family disease clusters.” Communications in Statistics - Theory and Methods, 30(11), 2293-2305. doi:10.1081/STA-100107686.
Yu C, Zelterman D (2002). “Statistical inference for familial disease clusters.” Biometrics, 58(3), 481-91. doi:10.1111/j.0006-341x.2002.00481.x.
## Not run:
# 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)
## End(Not run)