summary.epiLong {SimHap}R Documentation

Summarizing epidemiological analysis models for longitudinal data

Description

Summary method for objects of class epiLong

Usage

## S3 method for class 'epiLong':
summary(object, ...)
## S3 method for class 'summary.epiLong':
print(x, digits = max(3, getOption("digits") - 3), 
        signif.stars = getOption("show.signif.stars"), ...)

Arguments

object an object of class epiLong, a result of a call to epi.long.
x an object of class summary.epiLong, the result of a call to
summary.epiLong.
digits the number of significant digits to use when printing.
signif.stars logical. If TRUE, ``significance stars" are printed for each coefficient.
... further arguments passed to or from other methods.

Value

summary.epiLong returns an object of class summary.epiLong. Some components taken from summary.lme. A list with components

call the formula call.
terms terms attribute of the formula called in epi.long.
fixDF as per lmeObject. A list with components X and terms specifying the denominator degrees of freedom for, respectively, t-tests for the individual fixed effects and F-tests for the fixed-effects terms in the models.
sigma as per lmeObject. The estimated within-group error standard deviation.
groups as per lmeObject. A data frame with the grouping factors as columns. The grouping level increases from left to right.
dims as per lmeObject. A list with basic dimensions used in the lme fit, including the components N - the number of observations in the data, Q - the number of grouping levels, qvec - the number of random effects at each level from innermost to outermost (last two values are equal to zero and correspond to the fixed effects and the response), ngrps - the number of groups at each level from innermost to outermost (last two values are one and correspond to the fixed effects and the response), and ncol - the number of columns in the model matrix for each level of grouping from innermost to outermost (last two values are equal to the number of fixed effects and one).
method as per lmeObject. The estimation method: either ``ML" for maximum likelihood, or ``REML" for restricted maximum likelihood.
residuals as per lmeObject. If more than five observations are used in the lme fit, a vector with the minimum, first quartile, median, third quartile, and maximum of the innermost grouping level residuals distribution; else the innermost grouping level residuals.
coefficients summarized results from fitted model, including coefficients, standard errors and p-values.
fixed_formula fixed effects formula used in epi.long.
random_formula random effects formula used in epi.long.
AIC Akaike Information Criterion for the model fitted in epi.long.
corStruct the correlation structure specified in epi.long.
modelStruct as per lmeObject. An object inheriting from class lmeStruct, representing a list of mixed-effects model components, such as reStruct, corStruct, and varFunc objects.

Author(s)

Pamela A. McCaskie

References

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.

See Also

epi.long

Examples


data(longPheno.dat)
mymodel <- epi.long(fixed=fev1f~height, random=~1|id, pheno=longPheno.dat, 
        form=~year|id)
summary(mymodel)


[Package SimHap version 1.0.0 Index]