The statistical significance may be mis-interpretated

Li, Yiu‐Tai; Chang, Wen-Hsun

doi:10.1097/jcma.0000000000000874

Cited by 5 publications

(7 citation statements)

References 10 publications

(12 reference statements)

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“…We would like to thank Li et al 1 for their interest in our work. 2 In their Letter to the Editor, they summarized our most important findings and raised a possible concern to our work.…”

Section: Dear Editormentioning

confidence: 98%

Reply to “High expression of NLRP12 predicts poor prognosis in patients with intracranial glioma”

Cheng

Chen

Lin

et al. 2023

Journal of the Chinese Medical Association

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We would like to thank Li et al 1 for their interest in our work. 2 In their Letter to the Editor, they summarized our most important findings and raised a possible concern to our work. Reply below is our responses for their concerns.From traditional the aspect of pathology, the histopathological stage is the currently widely used for analysis, but we hope to create a newly classification to predict the prognosis of glioblastoma. Because the pathological stage is subjective, there still consist of bias for the prognosis. If we classify from the gene expression, the amount of the expression will be objective and provide more corrective prediction. From the database of website and the result of our research, NLRP12 is the poor prognosis marker, 3,4 thus we analysis high and low expression of this gene through Cox regression model will be property as a target to predict the survival of glioblastoma patents.We would like to thank Li et al again and hope that our responses could be of help.

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“…We would like to thank Li et al 1 for their interest in our work. 2 In their Letter to the Editor, they summarized our most important findings and raised a possible concern to our work.…”

Section: Dear Editormentioning

confidence: 98%

Reply to “High expression of NLRP12 predicts poor prognosis in patients with intracranial glioma”

Cheng

Chen

Lin

et al. 2023

Journal of the Chinese Medical Association

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“…2,3 The comments shown above did not argue the value of the authors' contribution and effort to enhance the global health of human beings; however, clinical relevance may be more important to scientific finding. 4,5 We hope to learn more from the authors' positive response.…”

Section: Dear Editormentioning

confidence: 99%

Is the relation between three comorbidities and carotid atherosclerosis dependent on the sum or not?

Chang

2023

Journal of the Chinese Medical Association

Self Cite

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“…As with the analysis of basket trials, most of the literature for this application has been focused on Bayesian methods. However, Li et al 26 recently proposed a frequentist approach to dynamic borrowing for this problem using adaptive lasso. Li et al demonstrated that their adaptive lasso approach had comparable operating characteristics to conventional Bayesian approaches.…”

Section: Introductionmentioning

confidence: 99%

A frequentist design for basket trials using adaptive lasso

Kanapka,

Ivanova

2023

Statistics in Medicine

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A basket trial aims to expedite the drug development process by evaluating a new therapy in multiple populations within the same clinical trial. Each population, referred to as a “basket”, can be defined by disease type, biomarkers, or other patient characteristics. The objective of a basket trial is to identify the subset of baskets for which the new therapy shows promise. The conventional approach would be to analyze each of the baskets independently. Alternatively, several Bayesian dynamic borrowing methods have been proposed that share data across baskets when responses appear similar. These methods can achieve higher power than independent testing in exchange for a risk of some inflation in the type 1 error rate. In this paper we propose a frequentist approach to dynamic borrowing for basket trials using adaptive lasso. Through simulation studies we demonstrate adaptive lasso can achieve similar power and type 1 error to the existing Bayesian methods. The proposed approach has the benefit of being easier to implement and faster than existing methods. In addition, the adaptive lasso approach is very flexible: it can be extended to basket trials with any number of treatment arms and any type of endpoint.

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The statistical significance may be mis-interpretated

Cited by 5 publications

References 10 publications

Reply to “High expression of NLRP12 predicts poor prognosis in patients with intracranial glioma”

Reply to “High expression of NLRP12 predicts poor prognosis in patients with intracranial glioma”

Is the relation between three comorbidities and carotid atherosclerosis dependent on the sum or not?

A frequentist design for basket trials using adaptive lasso

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