Applications of additive semivarying coefficient models: Monthly suicide data from Hong Kong

Richard M. Huggins; Peter Hall; Paul S.F. Yip; Quang M. Bui

doi:10.1111/j.1541-0420.2006.00727.x

Applications of additive semivarying coefficient models: Monthly suicide data from Hong Kong

Richard M. Huggins^*, Peter Hall, Paul S.F. Yip, Quang M. Bui

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

A semivarying coefficient model for the monthly numbers of suicides in Hong Kong is developed and a new estimation procedure for estimating the parametric component is proposed. The estimators are examined in a small simulation study and fitted to monthly suicide data to estimate a nonparametric long-term trend and parametric seasonal and socioeconomic effects. Fitting the model detected interpretable structure in the data that is consistent with that driving public health policy. While exploratory, the analysis motivates the collection of more detailed data and the development of more sophisticated models to help determine target groups and strategies to reduce the suicide rate in Hong Kong.

Original language	English
Pages (from-to)	708-713
Number of pages	6
Journal	Biometrics
Volume	63
Issue number	3
DOIs	https://doi.org/10.1111/j.1541-0420.2006.00727.x
Publication status	Published - Sept 2007

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title = "Applications of additive semivarying coefficient models: Monthly suicide data from Hong Kong",

abstract = "A semivarying coefficient model for the monthly numbers of suicides in Hong Kong is developed and a new estimation procedure for estimating the parametric component is proposed. The estimators are examined in a small simulation study and fitted to monthly suicide data to estimate a nonparametric long-term trend and parametric seasonal and socioeconomic effects. Fitting the model detected interpretable structure in the data that is consistent with that driving public health policy. While exploratory, the analysis motivates the collection of more detailed data and the development of more sophisticated models to help determine target groups and strategies to reduce the suicide rate in Hong Kong.",

keywords = "Local polynomial model, Longitudinal data, Semivarying coefficients, Suicide",

author = "Huggins, {Richard M.} and Peter Hall and Yip, {Paul S.F.} and Bui, {Quang M.}",

year = "2007",

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AU - Yip, Paul S.F.

AU - Bui, Quang M.

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AB - A semivarying coefficient model for the monthly numbers of suicides in Hong Kong is developed and a new estimation procedure for estimating the parametric component is proposed. The estimators are examined in a small simulation study and fitted to monthly suicide data to estimate a nonparametric long-term trend and parametric seasonal and socioeconomic effects. Fitting the model detected interpretable structure in the data that is consistent with that driving public health policy. While exploratory, the analysis motivates the collection of more detailed data and the development of more sophisticated models to help determine target groups and strategies to reduce the suicide rate in Hong Kong.

KW - Local polynomial model

KW - Longitudinal data

KW - Semivarying coefficients

KW - Suicide

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VL - 63

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JO - Biometrics

JF - Biometrics

IS - 3

ER -

Applications of additive semivarying coefficient models: Monthly suicide data from Hong Kong

Abstract

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