Description Usage Arguments Details Value Author(s) References Examples
Proportional Reporting Ratio proposed by Evans et al. (2001) extended to the multiple comparison framework. Note that the computed variance is different from the one used in van Puijenbroek et al. (2002)
1 2 | PRR(DATABASE, RR0 = 1, MIN.n11 = 1, DECISION = 1,
DECISION.THRES = 0.05, RANKSTAT = 1)
|
DATABASE |
Object returned by the function |
RR0 |
Value of the tested relative risk. By default, |
MIN.n11 |
Minimum number of notifications for a couple to be potentially considered as a signal. By default, |
DECISION |
Decision rule for the signal generation based on 1 = FDR (Default value) 2 = Number of signals 3 = Ranking statistic. See |
DECISION.THRES |
Threshold for |
RANKSTAT |
Statistic used for ranking the couples: 1 = P-value 2 = Lower bound of the 95% two sided confidence interval of log(PRR). |
The FDR is estimated with the LBE procedure proposed by Dalmasso et al. (2005). Note that the FDR can only be estimated if the statistic of interest is the P-value.
ALLSIGNALS |
Data.frame summarizing the results of all couples with at least |
SIGNALS |
Same Data.frame as |
NB.SIGNALS |
Number of generated signals. |
INPUT.PARAM |
Parameters entered in the function. |
Ismaïl Ahmed & Antoine Poncet
Ahmed I, Dalmasso C, Haramburu F, Thiessard F, Broët P, Tubert-Bitter P. False discovery rate estimation for frequentist pharmacovigilance signal detection methods. Biometrics. 2010 Mar;66(1):301-309.
Dalmasso C, Broët P, Moreau T (2005), A simple procedure for estimating the false discovery rate, Bioinformatics, Bioinformatics, 21: 660 - 668.
Evans SJ, Waller PC, Davis S, Use of Proportional Reporting Ratios (PRRs) for Signal Generation from Spontaneous Adverse Drug Reaction Reports Pharmacoepidemiology and Drug Safety, 2001, 10, 483-486.
van Puijenbroek EP, Bate A, Leufkens HGM, Lindquist M, Orre R and Egberts ACG, A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions, Pharmacoepidemiology and Drug Safety, 2002, 11, 3-10.
1 2 3 4 5 | ## start
data(PhViDdata.frame)
PhViDdata <- as.PhViD(PhViDdata.frame)
# res <- PRR(PhViDdata)
## end
|
Loading required package: LBE
Loading required package: MCMCpack
Loading required package: coda
Loading required package: MASS
##
## Markov Chain Monte Carlo Package (MCMCpack)
## Copyright (C) 2003-2020 Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park
##
## Support provided by the U.S. National Science Foundation
## (Grants SES-0350646 and SES-0350613)
##
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