Displaying 2 results from an estimated 2 matches for "arthrose".
2013 Jan 29
1
starting values in glm(..., family = binomial(link = log))
...23, 46, 49, 21, 25, 30, 64, 29, 52, 29, 50, 57, 50, 53, 50, 34,
58, 42, 35, 50, 35, 35, 63, 42, 37, 64, 34, 56, 70, 48, 23, 43,
26, 52, 24, 31, 27, 34, 23, 44, 51, 41, 69, 47, 37, 68, 42, 28,
25), Arthrose = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,...
2013 Jan 30
1
starting values in glm(..., family = binomial(link =log))
Try this:
Age_log_model = glm(Arthrose ~ Alter, data=x, start=c(-1, 0), family=quasibinomial(link = log))
Ravi
Ravi Varadhan, Ph.D.
Assistant Professor
The Center on Aging and Health
Division of Geriatric Medicine & Gerontology
Johns Hopkins University
rvaradhan@jhmi.edu<mailto:rvaradhan@jhmi.edu>
410-502-2619
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