Testing synergisms in a no-redundancy sufficient-cause rate model.
about
Estimation of a common effect parameter from follow-up data when there is no mechanistic interaction.Assessing causal mechanistic interactions: a peril ratio index of synergy based on multiplicativity.Complementary Log Regression for Sufficient-Cause Modeling of Epidemiologic DataSharp bounds on sufficient-cause interactions under the assumption of no redundancyTesting for mechanistic interactions in long-term follow-up studies.Testing for Sufficient-Cause Gene-Environment Interactions Under the Assumptions of Independence and Hardy-Weinberg Equilibrium.Sharp bounds on causal effects using a surrogate endpoint.
P2860
Q30742809-EA663FEB-B508-4C98-88BD-FC1A5AC1F6A5Q31122641-D0A1AB1A-4C7C-4346-87D1-118B80BE2B3EQ31148472-C415D720-41A4-4D1C-A854-F2A0889A2D38Q33588998-2BBC202E-4ED4-4486-8D64-8AC30B27A9F0Q35220205-0D24C9A6-0075-4D8E-8B44-3AADB2F2F6F1Q40888984-F1CAEE65-7ED6-4488-8147-AEDEC9075296Q50919126-104F65DA-0331-42C4-852A-D53BD229A006
P2860
Testing synergisms in a no-redundancy sufficient-cause rate model.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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name
Testing synergisms in a no-redundancy sufficient-cause rate model.
@en
Testing synergisms in a no-redundancy sufficient-cause rate model.
@nl
type
label
Testing synergisms in a no-redundancy sufficient-cause rate model.
@en
Testing synergisms in a no-redundancy sufficient-cause rate model.
@nl
prefLabel
Testing synergisms in a no-redundancy sufficient-cause rate model.
@en
Testing synergisms in a no-redundancy sufficient-cause rate model.
@nl
P1433
P1476
Testing synergisms in a no-redundancy sufficient-cause rate model
@en
P2093
Wen-Chung Lee
P304
P356
10.1097/EDE.0B013E318277F122
P577
2013-01-01T00:00:00Z