The generalized inference on the ratio of mean differences for fraction retention noninferiority hypothesis.

Tytuł:: The generalized inference on the ratio of mean differences for fraction retention noninferiority hypothesis.
Autorzy:: Hsieh HN; Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan.; Office of Institutional Research, Fu Jen Catholic University, New Taipei City, Taiwan.
Lu HY; Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan.
Źródło:: PloS one [PLoS One] 2020 Jun 09; Vol. 15 (6), pp. e0234432. Date of Electronic Publication: 2020 Jun 09 (Print Publication: 2020).
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Original Publication: San Francisco, CA : Public Library of Science
MeSH Terms:: Data Interpretation, Statistical*
Models, Statistical*
Research Design*
Treatment Outcome*
Drug Development/*methods
Antimetabolites, Antineoplastic/therapeutic use ; Capecitabine/therapeutic use ; Computer Simulation ; Equivalence Trials as Topic ; Humans ; Neoplasms/drug therapy
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Substance Nomenclature:: 0 (Antimetabolites, Antineoplastic)
6804DJ8Z9U (Capecitabine)
Entry Date(s):: Date Created: 20200610 Date Completed: 20200828 Latest Revision: 20200828
Update Code:: 20240104
PubMed Central ID:: PMC7282653
DOI:: 10.1371/journal.pone.0234432
PMID:: 32516350
: Czasopismo naukowe

Pełny tekst

The fraction retention non-inferiority hypothesis is often measured for the ratio of the effects of a new treatment to those of the control in medical research. However, the fraction retention non-inferiority test that the new treatment maintains the efficacy of control can be affected by the nuisance parameters. Herein, a heuristic procedure for testing the fraction retention non-inferiority hypothesis is proposed based on the generalized p-value (GPV) under normality assumption and heteroskedasticity. Through the simulation study, it is demonstrated that, the performance of the GPV-based method not only adequately controls the type I error rate at the nominal level but also is uniformly more powerful than the ratio test, Rothmann's and Wang's tests, the comparable extant methods. Finally, we illustrate the proposed method by employing a real example.
Competing Interests: The authors have declared that no competing interests exist.

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