An introduction to sensitivity analysis for unobserved confounding in nonexperimental prevention research

W Liu, SJ Kuramoto, EA Stuart - Prevention science, 2013 - Springer
Despite the fact that randomization is the gold standard for estimating causal relationships,
many questions in prevention science are often left to be answered through …

An introduction to sensitivity analysis for unobserved confounding in nonexperimental prevention research.

WW Liu, SJ Kuramoto, EA Stuart - 2013 - cabidigitallibrary.org
Despite the fact that randomization is the gold standard for estimating causal relationships,
many questions in prevention science are often left to be answered through …

[引用][C] An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research

W Liu, SJ Kuramoto, EA Stuart - Prevention Science, 2013 - cir.nii.ac.jp
An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental
Prevention 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 …

[HTML][HTML] An Introduction to Sensitivity Analysis for Unobserved Confounding in Non-Experimental Prevention Research

W Liu, SJ Kuramoto, EA Stuart - … science: the official journal of the …, 2013 - ncbi.nlm.nih.gov
Despite that randomization is the gold standard for estimating causal relationships, many
questions in prevention science are left to be answered through non-experimental studies …

An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research

W Liu, SJ Kuramoto, EA Stuart - Prevention Science, 2013 - infona.pl
Despite the fact that randomization is the gold standard for estimating causal relationships,
many questions in prevention science are often left to be answered through …

An introduction to sensitivity analysis for unobserved confounding in nonexperimental prevention research

W Liu, SJ Kuramoto, EA Stuart - Prevention science: the …, 2013 - pubmed.ncbi.nlm.nih.gov
Despite the fact that randomization is the gold standard for estimating causal relationships,
many questions in prevention science are often left to be answered through …

An introduction to sensitivity analysis for unobserved confounding in nonexperimental prevention research.

W Liu, SJ Kuramoto, EA Stuart - Prevention Science, 2013 - psycnet.apa.org
Despite the fact that randomization is the gold standard for estimating causal relationships,
many questions in prevention science are often left to be answered through …

An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research.

W Liu, S Kuramoto, E Stuart - Prevention Science, 2013 - search.ebscohost.com
Despite the fact that randomization is the gold standard for estimating causal relationships,
many questions in prevention science are often left to be answered through …

An introduction to sensitivity analysis for unobserved confounding in nonexperimental prevention research.

W Liu, SJ Kuramoto, EA Stuart - … Science: the Official Journal of the …, 2013 - europepmc.org
Despite that randomization is the gold standard for estimating causal relationships, many
questions in prevention science are left to be answered through non-experimental studies …

[引用][C] An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research

W LIU, SJ KURAMOTO… - Prevention science (Print), 2013 - pascal-francis.inist.fr
An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental
Prevention Research CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic …