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Peer-Review Record

Interval-Censored Regression with Non-Proportional Hazards with Applications

Stats 2023, 6(2), 643-656; https://doi.org/10.3390/stats6020041
by Fábio Prataviera 1,†, Elizabeth M. Hashimoto 2,†, Edwin M. M. Ortega 1,*,†, Taciana V. Savian 1,† and Gauss M. Cordeiro 3,†
Reviewer 1:
Reviewer 2: Anonymous
Stats 2023, 6(2), 643-656; https://doi.org/10.3390/stats6020041
Submission received: 18 April 2023 / Revised: 7 May 2023 / Accepted: 10 May 2023 / Published: 17 May 2023
(This article belongs to the Section Survival Analysis)

Round 1

Reviewer 1 Report

The problem is well-laid out. However, the paper is written on a purely heuristic level without containing hard statement. Weibull AFT models are common in handling survival times! Since the paper proposes no methodological advance, my view is that extensive simulations ought to be included to deserve publication.  The authors may consider simulations that are carried out for finite sample sizes (less than 50) and under heavy censoring (larger than 50%), if possible. By looking at the results under this set-up, it may be possible to evaluate that the approach in the paper actually leads to good performance in practice.

 

The paper was written in a big-hurry. An example includes “verify the fir of the model.” The reader advise the authors to proofread the paper.

Author Response

See attached letter of reply.

Author Response File: Author Response.pdf

Reviewer 2 Report

Please find attached.

Comments for author File: Comments.pdf

English language is fine to me.

Author Response

See attached letter of reply.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The contents of the revised manuscript are improved on the previous version. I am pleased that the authors have carefully addressed and managed the issues raised by the reviewers. 

Reviewer 2 Report

I have no further comments.

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