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Brief Report
Peer-Review Record

A Flexible Approach for Assessing Heterogeneity of Causal Treatment Effects on Patient Survival Using Large Datasets with Clustered Observations

Int. J. Environ. Res. Public Health 2022, 19(22), 14903; https://doi.org/10.3390/ijerph192214903
by Liangyuan Hu 1,*, Jiayi Ji 1, Hao Liu 1,2 and Ronald Ennis 2,3
Reviewer 1: Anonymous
Reviewer 2:
Int. J. Environ. Res. Public Health 2022, 19(22), 14903; https://doi.org/10.3390/ijerph192214903
Submission received: 9 September 2022 / Revised: 8 November 2022 / Accepted: 9 November 2022 / Published: 12 November 2022
(This article belongs to the Special Issue Analysis Approaches for Disease Prevention and Health Promotion)

Round 1

Reviewer 1 Report

1.     This is a meaningful study as this brief report contributes to furthering the analysis of assessing the heterogeneity of causal treatment effects on patient survival.

2.     The research is valuable due to the method of using large datasets with clustered observations.

3.     The title and abstract are appropriate for the content of the brief report.

4.     The brief report is well organized.

5.     The discussion could be strengthened by using the results of the report as a reference for the field.

 

6.     The conclusion could be strengthened by adding some specific statements about the findings of this study.

Author Response

please see attachment

Author Response File: Author Response.docx

Reviewer 2 Report

Dear Authors,

You have a statement "Expansive and representative simulations provide strong empirical evidence that our method has better performance than existing methods in a wide range of data settings." in the "Discussion" section. Could you please clarify (with the references) which of the existing methods have you compared your method with?

Please also add a couple lines of "Future Directions" to the end of "Conclusion" section.

Author Response

please see attachment

Author Response File: Author Response.docx

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