Abstract #301801

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JSM 2002 Abstract #301801
Activity Number: 279
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology*
Abstract - #301801
Title: Methods for Computing Exact P-Values of the Range-Scan Statistic
Author(s): James Mancuso*+
Affiliation(s): Pfizer Global R&D
Address: Eastern Point Rd, MS 8260-2202, Groton, Connecticut, 06340, USA
Keywords: Range-scan test ; Adverse events ; Time series ; Cluster ; Exact test
Abstract:

Range-scan statistics are useful for the detection of temporal clustering of infrequent events such as adverse events in a clinical trial or the incidence of a rare disease in a particular community. The value of the statistic is the length of the shortest window of time containing all events. Exact methods have been proposed for the computation of P-values under two discrete incidence models. The occupancy model assumes a stable population at risk (PAR) for the duration of study while the structured environment involves a PAR that changes irregularly over time. This paper derives a new computational formula for the exact P-value of the range-scan statistic in the structured environment model. The methods are implemented in the C++ programming language, thereby extending their practical applicability to larger data sets. Applications and generalizations of the methodology are discussed.

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Revised March 2002