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9
R/cie_test.R
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@ -1,9 +1,12 @@
#' A repeated regression function for change-in-estimate analysis #' A repeated regression function for change-in-estimate analysis
#' #'
#' For bivariate analyses. From "Modeling and variable selection in epidemiologic analysis." - S. Greenland, 1989. #' For bivariate analyses. From "Modeling and variable selection in epidemiologic analysis." - S. Greenland, 1989.
#' @param y Effect meassure. #' @param meas Effect meassure. Input as c() of columnnames, use dput().
#' @param v1 Main variable in model #' @param vars variables in model. Input as c() of columnnames, use dput().
#' @param string String of columnnames from dataframe to include. Use dput(). #' @param string variables to test. Input as c() of columnnames, use dput().
#' @param data data frame to pull variables from.
#' @param logistic flag to set logistic (TRUE) or linear (FALSE,standard) analysis.
#' @param cut cut value for gating if including or dropping the tested variable. As suggested bu S. Greenland (1989).
#' @keywords change-in-estimate #' @keywords change-in-estimate
#' @export #' @export
#' @examples #' @examples

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man/cie_test.Rd
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cie_test(meas, vars, string, data, logistic = FALSE, cut = 0.1) cie_test(meas, vars, string, data, logistic = FALSE, cut = 0.1)
} }
\arguments{ \arguments{
\item{string}{String of columnnames from dataframe to include. Use dput().} \item{meas}{Effect meassure. Input as c() of columnnames, use dput().}
\item{y}{Effect meassure.} \item{vars}{variables in model. Input as c() of columnnames, use dput().}
\item{v1}{Main variable in model} \item{string}{variables to test. Input as c() of columnnames, use dput().}
\item{data}{data frame to pull variables from.}
\item{logistic}{flag to set logistic (TRUE) or linear (FALSE,standard) analysis.}
\item{cut}{cut value for gating if including or dropping the tested variable. As suggested bu S. Greenland (1989).}
} }
\description{ \description{
For bivariate analyses. From "Modeling and variable selection in epidemiologic analysis." - S. Greenland, 1989. For bivariate analyses. From "Modeling and variable selection in epidemiologic analysis." - S. Greenland, 1989.