Title: Title: Risk factors for long-term survival in patients with ypN+M0 rectal cancer after
radical anterior resection
Version: 4 Date: 18 Jan 2022
Reviewer:  Chung-yuan Hu
Reviewer's report:
This is a well written manuscript with all the detail analytic methods being provided. Since it's a
project aiming to explorer the factors associated with the DSS and DFS using a small sample, I
would suggest using the log likelihood ratio test (LR test) to exam the association, in addition to
what you have done.(the Wald and logrank test). LR test would be more accurate for all type of
sample sizes and if possible please show us the log likelihood statistics (full model vs the nested
model with one var removed) along with the p-values for each variable so that one can easily
conceptualize the strength of association for each var in the model.
Title: Title: Risk factors for long-term survival in patients with ypN+M0 rectal cancer after
radical anterior resection
Version: 4 Date: 18 Jan 2022
Reviewer:  Chung-yuan Hu
Reviewer's report:
This is a well written manuscript with all the detail analytic methods being provided. Since it's a
project aiming to explorer the factors associated with the DSS and DFS using a small sample, I
would suggest using the log likelihood ratio test (LR test) to exam the association, in addition to
what you have done.(the Wald and logrank test). LR test would be more accurate for all type of
sample sizes and if possible please show us the log likelihood statistics (full model vs the nested
model with one var removed) along with the p-values for each variable so that one can easily
conceptualize the strength of association for each var in the model.
Please review this paper.
user
Title: Title: Risk factors for long-term survival in patients with ypN+M0 rectal cancer after
radical anterior resection
Version: 4 Date: 18 Jan 2022
Reviewer:  Chung-yuan Hu
Reviewer's report:
This is a well written manuscript with all the detail analytic methods being provided. Since it's a
project aiming to explorer the factors associated with the DSS and DFS using a small sample, I
would suggest using the log likelihood ratio test (LR test) to exam the association, in addition to
what you have done.(the Wald and logrank test). LR test would be more accurate for all type of
sample sizes and if possible please show us the log likelihood statistics (full model vs the nested
model with one var removed) along with the p-values for each variable so that one can easily
conceptualize the strength of association for each var in the model.
assistant