Data analysis method and device

Abstract

The invention discloses a data analysis method and device, and the method comprises the steps: respectively carrying out the fitting of testee survival data corresponding to a first test object and testee survival data corresponding to a second test object, and obtaining a test group survival function and a control group survival function; based on preset clinical test parameters, a test group survival function and a control group survival function, determining survival data of the testee during middle-stage analysis and final-stage analysis; counting the survival probability of the test group relative to the control group in the middle-stage analysis and the survival probability of the test group relative to the control group in the final-stage analysis by using a preset statistical method according to the survival data in the middle-stage analysis and the survival data in the final-stage analysis; and judging whether the survival probability in the middle-stage analysis and the survival probability in the last-stage analysis meet preset conditions or not. Therefore, by carrying out the simulated clinical test based on the real test data, the reliability of the application of the preset method for mid-term analysis under the condition of the preset clinical test parameters can be accurately evaluated.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a data analysis method and device. Background technique [0002] In the process of developing new drugs, continuous clinical trials are required to verify the efficacy of new drugs. However, before conducting any clinical trial, it is necessary to evaluate the reliability of clinical trial design parameters and clinical trial statistical methods in advance. Clinical trial parameters mainly refer to the clinical trial design parameters involved in the clinical trial process, such as sample size and enrollment speed, etc., and clinical trial statistical methods mainly refer to the statistical methods of clinical trial results. For clinical trials of the same new drug, different clinical trial parameters and statistical methods can be designed, but appropriate clinical trial parameters and statistical methods can capture the clinical trial results in advance...

AI Technical Summary

Problems solved by technology

[0003] However, the evaluation of clinical trial parameters and statistical methods in the prior art is usually carried out based on non-real clinical data, and the reliability of clinical trial parameters and statistical methods is repeatedly evaluated by changing the parameters of non-real clinical data; but now Some evaluation methods cannot fully reflect the distribution characteristics of real clinical trial data, so they cannot accurately evaluate the reliability of given clinical trial parameters and statistical methods in a given clinical scenario

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