We applied the compressive sensing
in this analysis to an observational sample of clinical trials consisting of
two groups. Each group needed time data from 25 patients, but in order to
accommodate alpha and beta errors, data from 12 more patients had to be
acquired. Thus, the unknown knowledge was predicted using the process of
compressive sensing. For each one, the calculation was repeated 1,000 times,
and 1 million (= 1,0002) log-rank tests were performed between the two classes,
after which a P-value histogram was obtained. Information obtained by repeated
estimates on the distribution of expected data represents the likelihood of
statistical significance. This technique will be It is useful for clinical trials studying
rare diseases or if the registration process is delayed.
Author (s) Details
Y. Miyagi
Department of Gynecology, Miyake Ofuku Clinic, Okayama City, Japan and
Department of Artificial Intelligence, Medical Data Labo, Okayama City, Japan.
K. Fujiwara
Department
of Gynecologic Oncology, Saitama Medical University International Medical
Center, Hidaka City, Japan.
T. Oda
Department of Obstetrics and Gynecology, Miyake Clinic, Okayama
City, Japan.
T. Miyake
Department of Gynecology, Miyake Ofuku Clinic, Okayama City, Japan.
and Department of Obstetrics and Gynecology, Miyake Clinic, Okayama City,
Japan.
R. L. Coleman
Department of Gynecologic Oncology and Reproductive Medicine,
University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/271
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