epi.cc.match {SimHap} | R Documentation |
epi.cc.match
is used to fit conditional logistic regression models to matched case-control data.
epi.cc.match(formula, pheno, sub = NULL)
formula |
a symbolic description of the model to be fit. The response must be binary indicator of case-control status, and the formula must contain a variable indicating strata, or the matching sequence. |
pheno |
a dataframe containing phenotype data. |
sub |
an expression representing a subset of the data on which to perform the models. |
formula
should be in the form:
response ~ predictor(s) + strata(strata_variable).
epi.cc.match
returns an object of class epiClogit
containing the following items
results |
a table containing the odds ratios, confidence intervals and p-values of the parameter estimates. |
formula |
formula passed to epi.cc.match . |
Wald |
The Wald test for overall significance of the fitted model including SNP parameters. |
logLik |
the log-likelihood for the linear model fit using formula . |
fit.coxph |
an object of class clogit fit using formula1 . See clogit for details. |
rsquared |
r-squared values for the fitted model. |
Pamela A McCaskie
McCaskie, P.A., Carter, K.W. Hazelton, M., Palmer, L.J. (2007) SimHap: A comprehensive modeling framework for epidemiological outcomes and a multiple-imputation approach to haplotypic analysis of population-based data, [online] www.genepi.org.au/simhap.
data(pheno.dat) mymodel <- epi.cc.match(formula=DISEASE~SBP+DBP+strata(STRAT), pheno=pheno.dat) summary(mymodel) # example with subsetting variable mymodel <- epi.cc.match(formula=DISEASE~SBP+DBP+strata(STRAT), pheno=pheno.dat, sub=expression(SEX==1)) summary(mymodel)