2013
DOI: 10.1007/s40264-013-0061-7
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Illustration of the Weibull Shape Parameter Signal Detection Tool Using Electronic Healthcare Record Data

Abstract: This study illustrates the usability and examines the reliability of the WSP tool as a method for signal detection in electronic health records. When the events are uncommon the success of this method may depend on the reporting time accurately reflecting the true event onset time. The study has shown that further work is required to define the censoring periods. The addition of a control group is not required but may enhance causal inference by showing that other causes than the exposure may lead to a signal.

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Cited by 94 publications
(107 citation statements)
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“…Analysis of time-toonset using the Weibull shape parameter (WSP) has recently been proposed to detect the signals for AEs by utilizing timeto-event data without requiring a reference population. [17][18][19][20] The WSP can describe the varying incidence of AEs and can * To whom correspondence should be addressed. e-mail: mnakamura@gifu-pu.ac.jp evaluate hazard functions for detecting AEs.…”
Section: -16)mentioning
confidence: 99%
See 1 more Smart Citation
“…Analysis of time-toonset using the Weibull shape parameter (WSP) has recently been proposed to detect the signals for AEs by utilizing timeto-event data without requiring a reference population. [17][18][19][20] The WSP can describe the varying incidence of AEs and can * To whom correspondence should be addressed. e-mail: mnakamura@gifu-pu.ac.jp evaluate hazard functions for detecting AEs.…”
Section: -16)mentioning
confidence: 99%
“…If β is greater than 1 and the 95% CI of β excludes the value of 1, the hazard is considered to increase over time. [17][18][19][20]24,25) We investigated the relation between the number of reports and seasonality of DIP. We analyzed the onset day of AEs and then obtained the number of AE reports per month between April 2004 and November 2016 from REAC table of JADER.…”
Section: 23)mentioning
confidence: 99%
“…Moreover, we performed the time-to-onset analysis using Weibull distribution and we examined the expression proˆle of adverse events for each drug. 18) DiŠerent atypical and typical antipsychotics were not administered at the same time. For duplicate entries of the same atypical and typical antipsychotics in the same case, we adopted the most recent atypical and typical antipsychotics entry in order to identify the beginning of the time of a subject'sˆrst prescription.…”
Section: Construction Of Databasementioning
confidence: 99%
“…During the period of drug use, the risk of developing the ADR is not necessarily a constant but can be seen as a function that changes over time. Previous studies seem to indicate that parametric TTO modeling can be used as a signal detection tool in cohorts of patients starting treatment [10,11] and using registry data of spontaneous reports of adverse events [12]. The parametric methods either statistically test for a nonconstant hazard (rate of occurrence of the adverse event) [10,11] or allow for visual inspection of the hazard over time for the parametric model providing the best fit to the data [12].…”
Section: What Is New?mentioning
confidence: 99%