Some newer & simpler biostatistical approaches for more credible clinical research

Some newer & simpler biostatistical approaches for more credible clinical researchBiostatistical validation of the results is many times considered essential for their credibility.Without this, the results are suspected and rarely published; yet, the results with claimed validity frequently fail to produce the expected outcome in real-world applications 1 .Statistical fallacies in clinical research can jeopardize life and health of many and need to be addressed more seriously than currently done 2 .Among the reasons for discrepancy between published research and practical applications, one important factor could be the use of inadequate methods of statistical evaluation, leading to incomplete or erroneous conclusion.Newer approaches are now available that can increase the applicability of the medical research results.We describe some relatively unknown new approaches in this communication that have wide applicability and are helpful in conducting more credible clinical research.A summary is provided at the end. Assess medical significance besides statistical significance Use of Artificial Intelligence (AI)-Assisted Technology