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Related Experiment Video

Updated: May 4, 2026

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

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Published on: July 22, 2016

A spatial scan statistic for survival data based on Weibull distribution.

Vijaya Bhatt¹, Neeraj Tiwari

¹Department of Statistics, Kumaun University, S.S.J. Campus, Almora, India.

Statistics in Medicine

|December 20, 2013

Summary

This study introduces a new spatial scan statistic for survival data, specifically using the Weibull distribution. The method effectively detects disease clusters in tuberculosis patient survival data.

Keywords:

Weibull model cluster detection geographical surveillance spatial scan statistic survival data tuberculosis

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Area of Science:

Biostatistics
Epidemiology
Spatial Analysis

Background:

The spatial scan statistic is a common tool for geographical cluster detection across various data types.
Existing methods are limited in their application to survival data analysis.

Purpose of the Study:

To propose a novel scan statistic tailored for survival data analysis.
To adapt the spatial scan statistic for use with survival distributions, including the Weibull distribution.

Main Methods:

Development of a scan statistic based on the Weibull survival distribution.
Application of the proposed method to tuberculosis patient survival data from Nainital district, India (2004-2005).
Validation through simulation studies across different survival distribution functions.

Main Results:

The proposed scan statistic effectively analyzes survival data.
The method demonstrates robust performance for various survival distributions.
Successful application to real-world tuberculosis patient data.

Conclusions:

The novel spatial scan statistic provides a valuable tool for analyzing survival data, particularly for disease cluster detection.
The method is versatile and applicable to multiple survival distributions.
This approach enhances epidemiological surveillance and spatial analysis of health outcomes.