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Reconstruction of Complex Directional Networks with Group Lasso Nonlinear Conditional Granger Causality.Drawing causal inference from Big Data.Quantifying Gene Regulatory Relationships with Association Measures: A Comparative StudyInvited Commentary: Causal Inference Across Space and Time-Quixotic Quest, Worthy Goal, or Both?Generalizing Study Results: A Potential Outcomes Perspective.Association between environmental noise and subjective symptoms related to cardiovascular diseases among elderly individuals in Japan.Statistical tests and identifiability conditions for pooling and analyzing multisite datasets.Collaborative, pooled and harmonized study designs for epidemiologic research: challenges and opportunities.Response heterogeneity: Challenges for personalised medicine and big data approaches in psychiatry and chronic pain.Clarifying questions about "risk factors": predictors versus explanation
P2860
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P2860
description
2016 nî lūn-bûn
@nan
2016 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
name
Causal inference and the data-fusion problem.
@ast
Causal inference and the data-fusion problem.
@en
type
label
Causal inference and the data-fusion problem.
@ast
Causal inference and the data-fusion problem.
@en
prefLabel
Causal inference and the data-fusion problem.
@ast
Causal inference and the data-fusion problem.
@en
P2860
P356
P1476
Causal inference and the data-fusion problem.
@en
P2860
P304
P356
10.1073/PNAS.1510507113
P407
P577
2016-07-01T00:00:00Z