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Parametric weighting approach for effect modification by age at exposure in cumulative covariates

https://repo.qst.go.jp/records/79036
https://repo.qst.go.jp/records/79036
a143ff18-9f3d-4248-bf90-254754e2238b
Item type 会議発表用資料 / Presentation(1)
公開日 2020-02-21
タイトル
タイトル Parametric weighting approach for effect modification by age at exposure in cumulative covariates
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_c94f
資源タイプ conference object
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Doi, Kazutaka

× Doi, Kazutaka

WEKO 843416

Doi, Kazutaka

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Yoshinaga, Shinji

× Yoshinaga, Shinji

WEKO 843417

Yoshinaga, Shinji

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Doi, Kazutaka

× Doi, Kazutaka

WEKO 843418

en Doi, Kazutaka

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Yoshinaga, Shinji

× Yoshinaga, Shinji

WEKO 843419

en Yoshinaga, Shinji

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抄録
内容記述タイプ Abstract
内容記述 Since the Fukushima nuclear power plant accident, there is an increasing interest in low-dose, long-term radiation exposure in the field of radiation effect research, and epidemiological data using cumulative radiation dose is being analyzed. Cumulative exposure covariates included in statistical models are dependent on the strong and implicit assumption that risks from exposure in the different periods are equal throughout study span.
A new approach of weighted cumulative exposure for effect modification was proposed. In this proposed approach, cumulative exposure is considered as a combination of single exposure components in different time periods, and weighted cumulative exposure is calculated as the weighted summation of single doses. Exponential functions were assumed for the weight function and parameters included in the weight function were also estimated with the other parameters in the parameter optimization procedure. The performance of the proposed approach was evaluated through simulation studies and applied to a long-term cohort study of cancer mortality among female nuclear weapons workers.
Based on the results of simulation studies, it was suggested that the proposed approach was almost unbiased in the situation where the sample size exceeds 1000 and the change in sensitivity is monotonous. When the approach was applied to female nuclear worker data, a slight decreasing trend in breast cancer risk with increasing age at exposure was observed.
会議概要(会議名, 開催地, 会期, 主催者等)
内容記述タイプ Other
内容記述 The 4th International Symposium of the Network-type Joint Usage/Research Center for Radiation Disaster Medical Science
発表年月日
日付 2020-02-12
日付タイプ Issued
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Ver.1 2023-05-15 18:19:51.307571
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