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cfta streptococci, codecov.yml

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dr. M.S. (Matthijs) Berends
2019-04-09 14:59:17 +02:00
parent cffb7787d8
commit 461eec9bac
18 changed files with 203 additions and 114 deletions
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10
man/first_isolate.Rd
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@ -68,7 +68,7 @@ Determine first (weighted) isolates of all microorganisms of every patient per e
\strong{WHY THIS IS SO IMPORTANT} \cr
To conduct an analysis of antimicrobial resistance, you should only include the first isolate of every patient per episode \href{https://www.ncbi.nlm.nih.gov/pubmed/17304462}{[1]}. If you would not do this, you could easily get an overestimate or underestimate of the resistance of an antibiotic. Imagine that a patient was admitted with an MRSA and that it was found in 5 different blood cultures the following week. The resistance percentage of oxacillin of all \emph{S. aureus} isolates would be overestimated, because you included this MRSA more than once. It would be \href{https://en.wikipedia.org/wiki/Selection_bias}{selection bias}.
The function \code{filter_first_isolate} is essentially equal to:
The functions \code{filter_first_isolate} and \code{filter_first_weighted_isolate} are helper functions to quickly filter on first isolates. The function \code{filter_first_isolate} is essentially equal to:
\preformatted{
tbl \%>\%
mutate(only_firsts = first_isolate(tbl, ...)) \%>\%
@ -90,10 +90,10 @@ The function \code{filter_first_weighted_isolate} is essentially equal to:
There are two ways to determine whether isolates can be included as first \emph{weighted} isolates which will give generally the same results: \cr
\strong{1. Using} \code{type = "keyantibiotics"} \strong{and parameter} \code{ignore_I} \cr
Any difference from S to R (or vice versa) will (re)select an isolate as a first weighted isolate. With \code{ignore_I = FALSE}, also differences from I to S|R (or vice versa) will lead to this. This is a reliable method and 30-35 times faster than method 2. \cr
Any difference from S to R (or vice versa) will (re)select an isolate as a first weighted isolate. With \code{ignore_I = FALSE}, also differences from I to S|R (or vice versa) will lead to this. This is a reliable method and 30-35 times faster than method 2. Read more about this in the \code{\link{key_antibiotics}} function. \cr
\strong{2. Using} \code{type = "points"} \strong{and parameter} \code{points_threshold} \cr
A difference from I to S|R (or vice versa) means 0.5 points, a difference from S to R (or vice versa) means 1 point. When the sum of points exceeds \code{points_threshold}, an isolate will be (re)selected as a first weighted isolate.
A difference from I to S|R (or vice versa) means 0.5 points, a difference from S to R (or vice versa) means 1 point. When the sum of points exceeds \code{points_threshold}, which default to \code{2}, an isolate will be (re)selected as a first weighted isolate.
}
\section{Read more on our website!}{
@ -135,8 +135,8 @@ B <- septic_patients \%>\%
# Have a look at A and B.
# B is more reliable because every isolate is only counted once.
# Gentamicin resitance in hospital D appears to be 5.4\% higher than
# when you (erroneously) would have used all isolates!
# Gentamicin resitance in hospital D appears to be 3.1\% higher than
# when you (erroneously) would have used all isolates for analysis.
## OTHER EXAMPLES: