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Generalized spatiotemporal modeling and causal inference for assessing treatment effects for multiple groups for ordinal outcome.

机译：广义时空建模和因果推理评估多个群体进行序序的治疗效果。

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Soutik Ghosal;
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3. Joint modeling of multiple ordinal adherence outcomes via generalized estimating equations with flexible correlation structure [J] . Jiang Zhen, Liu Yimeng, Wahed Abdus S., Statistics in medicine . 2018,第6期

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5. Sparse structural equation models for causal inference in genetic studies of multiple phenotypes with next-generation sequencing data. [D] . Rahman, Mohammad Lutfur. 2015

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7. The heterogeneous causal effects of neonatal care: a model of endogenous demand for multiple treatment options based on geographical access to care [O] . Rubén E. Mújica‐Mota, Paolo Landa, Martin Pitt, 2019

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Generalized spatiotemporal modeling and causal inference for assessing treatment effects for multiple groups for ordinal outcome.

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