| brv | R Documentation | 
The brv data frame has 399 rows and 11 columns.
The data concern the possible effect of marital bereavement on
subsequent mortality. They arose from a survey of the physical and
mental health of a cohort of 75-year-olds in one large general
practice. These data concern mortality up to 1 January, 1990 (although
further follow-up has now taken place).
Subjects included all lived with a living spouse when they entered the study. There are three distinct groups of such subjects: (1) those in which both members of the couple were over 75 and therefore included in the cohort, (2) those whose spouse was below 75 (and was not, therefore, part of the main cohort study), and (3) those living in larger households (that is, not just with their spouse).
This data frame contains the following columns:
idsubject identifier, a numeric vector
couplecouple identifier, a numeric vector
dobdate of birth, a date
doedate of entry into follow-up study, a date
doxdate of exit from follow-up study, a date
dospdate of death of spouse, a date (if the spouse was still alive at the end of follow-up,this was coded to January 1, 2000)
failstatus at end of follow-up, a numeric vector (0=alive,1=dead)
groupsee Description, a numeric vector
disabdisability score, a numeric vector
healthperceived health status score, a numeric vector
sexa factor with levels
Male and
Female 
Jagger C, and Sutton CJ, Death after Marital Bereavement. Statistics in Medicine, 10:395-404, 1991. (Data supplied by Carol Jagger).
data(brv)
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