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| dc.creator | Sandie, A. B. | |
| dc.creator | Molinari, N. | |
| dc.creator | Wanjoya, A. | |
| dc.creator | Kouanfack, C. | |
| dc.creator | /Laurent, Christian | |
| dc.creator | Tchatchueng-Mbougua, J. B. | |
| dc.date | 2022 | |
| dc.date.accessioned | 2022-04-27T17:37:49Z | |
| dc.date.available | 2022-04-27T17:37:49Z | |
| dc.identifier | https://www.documentation.ird.fr/hor/fdi:010084413 | |
| dc.identifier | oai:ird.fr:fdi:010084413 | |
| dc.identifier | Sandie A. B., Molinari N., Wanjoya A., Kouanfack C., Laurent Christian, Tchatchueng-Mbougua J. B.. Non-inferiority test for a continuous variable with a flexible margin in an active controlled trial : an application to the "Stratall ANRS 12110 / ESTHER" trial. 2022, 23 (1), p. 202 [11 p.] | |
| dc.identifier.uri | http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/169113 | |
| dc.description | Background: Non-inferiority trials are becoming increasingly popular in public health and clinical research. The choice of the non-inferiority margin is the cornerstone of such trials. Most of the time, the non-inferiority margin is fixed and constant, determined from historical trials as a fraction of the effect of the reference intervention. But in some circumstances, there may some uncertainty around the reference treatment that one would like to account for when performing the hypothesis testing. In this case, the non-inferiority margin is not fixed in advance and depends on the reference intervention estimate. Hence, the uncertainty surrounding the non-inferiority margin should be accounted for in statistical tests. In this work, we explore how to perform the non-inferiority test for a continuous variable with a flexible margin. Methods: We have proposed in this study, two procedures for the non-inferiority test with a flexible margin for continuous endpoints. The proposed test procedures are based on a test statistic and confidence interval approaches respectively. Simulations have been used to assess the performances and properties of the proposed test procedures. An application was done on a real-world clinical data, to assess the efficacy of clinical monitoring alone versus laboratory and clinical monitoring in HIV-infected adult patients. Results: Basically, for both proposed methods, the type I error estimate was not dependent on the values of the reference treatment. In the test statistic approach, the type 1 error rate estimate was approximatively equal to the nominal value. It has been found that the confidence interval level determined approximatively the level of significance. For a given nominal type I error alpha, the appropriate one- and two-sided confidence intervals should be with levels 1 - alpha and 1 - 2 alpha, respectively. Conclusions: Based on the type I error rate and power estimates, the proposed non-inferiority hypothesis test procedures had good performances and were applicable in practice. | |
| dc.language | EN | |
| dc.subject | Asymptotic test | |
| dc.subject | Active controlled trial | |
| dc.subject | Confidence interval | |
| dc.subject | Flexible margin | |
| dc.subject | Non-inferiority | |
| dc.title | Non-inferiority test for a continuous variable with a flexible margin in an active controlled trial : an application to the "Stratall ANRS 12110 / ESTHER" trial | |
| dc.type | text |
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