January 9, 2013Open Access

Reducing and meta-analysing estimates from distributed lag non-linear models

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Abstract

The methodology proposed here extends the use of DLNMs in two-stage analyses, obtaining meta-analytical estimates of easily interpretable summaries from complex non-linear and delayed associations. The approach relaxes the assumptions and avoids simplifications required by simpler modelling approaches.

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Gasparrini et al. (Wed,) studied this question.

synapsesocial.com/papers/69d8bdbf8c03fbaff8befeef — DOI: https://doi.org/10.1186/1471-2288-13-1

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Authors

Antonio Gasparrini

Royal Society of Tropical Medicine and Hygiene

Ben Armstrong

Boston University

Journals

BMC Medical Research Methodology

Actions

Institutions

London School of Hygiene & Tropical Medicine

University of London

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Analyzing shared references across papers

Reducing and meta-analysing estimates from distributed lag non-linear models

Key Points

Abstract

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Cite this study

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Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

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