A blueprint for synthetic control methodology: a causal inference tool for evaluating natural experiments in population health

Article Medicine, General & Internal

Evaluating the impacts of tiered restrictions introduced in England, during October and December 2020 on COVID-19 cases: a synthetic control study

Xingna Zhang et al.

Summary: The study analyzes the impact of tier 3 restrictions introduced in October and December 2020 in England on the transmission of SARS-CoV-2. The results show that these restrictions were associated with a reduction in infections compared to tier 2 restrictions, and the effects were similar across different levels of deprivation and the prevalence of the new variant.

BMJ OPEN (2022)

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Article Medicine, General & Internal

Impact of community asymptomatic rapid antigen testing on covid-19 related hospital admissions: synthetic control study

Xingna Zhang et al.

Summary: The voluntary rapid testing for SARS-CoV-2 antigen in Liverpool city has significantly reduced COVID-19 related hospital admissions. Large-scale asymptomatic rapid testing could help reduce transmission and prevent hospital admissions.

BMJ-BRITISH MEDICAL JOURNAL (2022)

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Editorial Material Medicine, General & Internal

Put to the test: use of rapid testing technologies for covid-19

Alex Crozier et al.

BMJ-BRITISH MEDICAL JOURNAL (2021)

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Article Public, Environmental & Occupational Health

Synthetic Control Methods for the Evaluation of Single-Unit Interventions in Epidemiology: A Tutorial

Carl Bonander et al.

Summary: Evaluating population-level interventions without randomized experiments is challenging, but the synthetic control method offers a data-driven solution by identifying an optimal weighted control unit. This method, widely used in social sciences, can also be valuable in health research by providing a comprehensive tutorial on its application.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2021)

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Article Computer Science, Interdisciplinary Applications

microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R

Michael W. Robbins et al.

Summary: The microsynth R package is designed for implementing the synthetic control methodology in comparative case studies, evaluating the efficacy of treatment or intervention within a well-defined geographic region. It provides functionalities for calculating weights, tabulating results for statistical inferences, and creating time series plots for treatment and synthetic control outcomes.

JOURNAL OF STATISTICAL SOFTWARE (2021)

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Article Statistics & Probability

A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data: Evaluating a Neighborhood-Specific Crime Intervention

Michael W. Robbins et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2017)

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Article Economics

The economic costs of conflict: A case study of the Basque Country

A Abadie et al.

AMERICAN ECONOMIC REVIEW (2003)

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A blueprint for synthetic control methodology: a causal inference tool for evaluating natural experiments in population health

相关参考文献

Evaluating the impacts of tiered restrictions introduced in England, during October and December 2020 on COVID-19 cases: a synthetic control study

Impact of community asymptomatic rapid antigen testing on covid-19 related hospital admissions: synthetic control study

Put to the test: use of rapid testing technologies for covid-19

Synthetic Control Methods for the Evaluation of Single-Unit Interventions in Epidemiology: A Tutorial

microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R

A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data: Evaluating a Neighborhood-Specific Crime Intervention

The economic costs of conflict: A case study of the Basque Country

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