Testing for zero-inflation in count series: Application to occupational health

Y. Zhao; A. H. Lee; V. Burke; K. K W Yau

doi:10.1080/02664760802653586

Testing for zero-inflation in count series: Application to occupational health

Y. Zhao, A. H. Lee, V. Burke, K. K W Yau

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Citations (Scopus)

Abstract

Count data series with extra zeros relative to a Poisson distribution are common in many biomedical applications.A score test is presented to assess whether the zero-inflation problem is significant to warrant the analysis by the more complex zero-inflated Poisson autoregression model. The score test is implemented as a computer program in the Splus platform. For illustration, the test procedure is applied to a workplace injury series where many zero counts are observed due to the heterogeneity in injury risk and the dynamic population involved. © 2009 Taylor & Francis.

Original language	English
Pages (from-to)	1353-1359
Journal	Journal of Applied Statistics
Volume	36
Issue number	12
DOIs	https://doi.org/10.1080/02664760802653586
Publication status	Published - 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Research Keywords

Occupational health
Random effects
Score test
Workplace injuries
Zero-inflation

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10.1080/02664760802653586

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AU - Lee, A. H.

AU - Burke, V.

AU - Yau, K. K W

PY - 2009

Y1 - 2009

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AB - Count data series with extra zeros relative to a Poisson distribution are common in many biomedical applications.A score test is presented to assess whether the zero-inflation problem is significant to warrant the analysis by the more complex zero-inflated Poisson autoregression model. The score test is implemented as a computer program in the Splus platform. For illustration, the test procedure is applied to a workplace injury series where many zero counts are observed due to the heterogeneity in injury risk and the dynamic population involved. © 2009 Taylor & Francis.

KW - Occupational health

KW - Random effects

KW - Score test

KW - Workplace injuries

KW - Zero-inflation

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M3 - RGC 21 - Publication in refereed journal

SN - 0266-4763

VL - 36

SP - 1353

EP - 1359

JO - Journal of Applied Statistics

JF - Journal of Applied Statistics

IS - 12

ER -

Testing for zero-inflation in count series: Application to occupational health

Abstract

UN SDGs

Research Keywords

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