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24 lines
1.1 KiB
R
24 lines
1.1 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/strobe_pred.R
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\name{strobe_pred}
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\alias{strobe_pred}
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\title{Regression model of predictors according to STROBE, bi- and multivariate.}
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\usage{
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strobe_pred(meas, adj, data, dec = 2, n.by.adj = FALSE)
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}
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\arguments{
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\item{meas}{binary outcome meassure variable, column name in data.frame as a string. Can be numeric or factor. Result is calculated accordingly.}
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\item{adj}{variables to adjust for, as string.}
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\item{data}{dataframe of data.}
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\item{dec}{decimals for results, standard is set to 2. Mean and sd is dec-1.}
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\item{n.by.adj}{flag to indicate wether to count number of patients in adjusted model or overall for outcome meassure not NA.}
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}
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\description{
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Printable table of regression model according to STROBE. Includes borth bivariate and multivariate in the same table. Output is a list, with the first item being the main "output" as a dataframe. Automatically uses logistic regression model for dichotomous outcome variable and linear regression model for continous outcome variable.
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}
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\keyword{logistic}
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