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Nonlinear Functional Models On Causal Inference, Rong Jiao
Nonlinear Functional Models On Causal Inference, Rong Jiao
Dissertations & Theses (Open Access)
Statistical analysis has experienced significant progress on association study, but it remains elusive to understand the etiology and mechanism of complex phenotypes. As a major analytical platform, association analysis may hamper the theoretic development of biomedical science and its application. Thus, many researchers suggest making the transition from association to causation. The mainstream of research in genetics and epigenetics data analysis focuses on statistical association or exploring statistical dependence between variables. Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), the signals identified by association analysis can only explain a small proportion of …
Nonlinear Functional Models On Causal Inference, Rong Jiao
Nonlinear Functional Models On Causal Inference, Rong Jiao
Dissertations & Theses (Open Access)
Statistical analysis has experienced significant progress on association study, but it remains elusive to understand the etiology and mechanism of complex phenotypes. As a major analytical platform, association analysis may hamper the theoretic development of biomedical science and its application. Thus, many researchers suggest making the transition from association to causation. The mainstream of research in genetics and epigenetics data analysis focuses on statistical association or exploring statistical dependence between variables. Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), the signals identified by association analysis can only explain a small proportion of …