Description Usage Arguments Details Value Methods (by class) References Examples
Test on deviceevents using the reporting odds ratio (ROR). From the family of disproportionality analyses (DPA) used to generate signals of disproportionate reporting (SDRs).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 
df 
Required input data frame of class

... 
Further arguments passed onto 
ts_event 
Required if Default: 
analysis_of 
Optional string indicating the English description of what
was analyzed. If specified, this will override the name of the
Default: Example: 
eval_period 
Required positive integer indicating the number of unique times counting in reverse chronological order to sum over to create the 2x2 contingency table. Default: Example: 
null_ratio 
Numeric ROR value representing the null hypothesis, used
with Default: 
alpha 
Numeric value representing the statistical alpha used to establish the signal status. Default: 
cont_adj 
Numeric value 0 or greater representing the continuity adjustment to be added to each cell of the 2x2 contingency table. A value greater than 0 allows for contingency tables with 0 cells to run the algorithm. A typical nonzero value is 0.5. Default: 
For parameter ts_event
, in the uncommon case where the
deviceevent count (Cell A) variable is not "nA"
, the name of the
variable may be specified here. Note that the remaining 3 cells of the 2x2
contingency table (Cells B, C, D) must be the variables "nB"
,
"nC"
, and "nD"
respectively in df
. A named character
vector may be used where the name is the English description of what was
analyzed. Note that if the parameter analysis_of
is specified, it will
override this name. Example: ts_event=c("Count of Bone Cement
Leakages"="event_count")
A named list of class mdsstat_test
object, as follows:
Name of the test run
English description of what was analyzed
Named boolean of whether the test was run. The name contains the run status.
A standardized list of test run results: statistic
for the test statistic, lcl
and ucl
for the set
confidence bounds, p
for the pvalue, signal
status, and
signal_threshold
.
The test parameters
The data on which the test was run
mds_ts
: ROR on mds_ts data
default
: ROR on general data
Stricker BH, Tijssen JG. Serum sicknesslike reactions to cefaclor. J Clin Epidemiol. 1992;45(10):117784.
Bohm R, Klein H.J. (v20181016). Primer on Disportionality Analysis. OpenVigil http://openvigil.sourcefourge.net/doc/DPA.pdf
1 2 3 4 5 6 7 8 9  # Basic Example
data < data.frame(time=c(1:25),
nA=as.integer(stats::rnorm(25, 25, 5)),
nB=as.integer(stats::rnorm(25, 50, 5)),
nC=as.integer(stats::rnorm(25, 100, 25)),
nD=as.integer(stats::rnorm(25, 200, 25)))
a1 < ror(data)
# Example using an mds_ts object
a2 < ror(mds_ts[[3]])

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