Using genetic data to strengthen causal inference in observational research
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …
[引用][C] Using genetic data to strengthen causal inference in observational research
JB Pingault, PF O'Reilly, T Schoeler… - Nature Reviews …, 2018 - cir.nii.ac.jp
Using genetic data to strengthen causal inference in observational research | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
[PDF][PDF] Using genetic data to strengthen causal inference in observational research
JB Pingault, PF O'Reilly, T Schoeler, GB Ploubidis… - 2018 - researchgate.net
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …
[PDF][PDF] Using genetic data to strengthen causal inference in observational research
JB Pingault, PF O'Reilly, T Schoeler, GB Ploubidis… - core.ac.uk
Causal inference, which involves progressing from confounded statistical associations to
evidence of causal relationships, is essential across the biomedical, behavioural and social …
evidence of causal relationships, is essential across the biomedical, behavioural and social …
Using genetic data to strengthen causal inference in observational research
JB Pingault, PF O'Reilly, T Schoeler… - Nature Reviews …, 2018 - discovery.ucl.ac.uk
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …
Using genetic data to strengthen causal inference in observational research.
JB Pingault, PF O'Reilly, T Schoeler… - Nature reviews …, 2018 - europepmc.org
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …
[PDF][PDF] Using genetic data to strengthen causal inference in observational research
JB Pingault, PF O'Reilly, T Schoeler, GB Ploubidis… - academia.edu
Causal inference, which involves progressing from confounded statistical associations to
evidence of causal relationships, is essential across the biomedical, behavioural and social …
evidence of causal relationships, is essential across the biomedical, behavioural and social …
Using genetic data to strengthen causal inference in observational research.
JB Pingault, PF O'Reilly, T Schoeler, GB Ploubidis… - 2018 - figshare.le.ac.uk
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …
Using genetic data to strengthen causal inference in observational research
JB Pingault, PF O'Reilly, T Schoeler… - NATURE REVIEWS …, 2018 - kclpure.kcl.ac.uk
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …
Using genetic data to strengthen causal inference in observational research
JB Pingault, PF O'Reilly, T Schoeler… - Nature reviews …, 2018 - pubmed.ncbi.nlm.nih.gov
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …