Significance of Statistical validation

Statistical validation refers to the application of statistical methods to ensure that analytical methods meet standards for accuracy, precision, and reliability. This process involves confirming the reliability and validity of results obtained from various analytical techniques, including HPLC and spectrophotometric methods, by subjecting them to rigorous statistical tests. It is crucial for verifying outcomes from recovery studies and ensuring that proposed methods yield consistent and accurate results, in compliance with guidelines such as those from ICH.

Synonyms: Statistical assessment, Statistical testing

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The concept of Statistical validation in scientific sources

Science Books

Statistical validation involves assessing the reliability and effectiveness of analytical methods through statistical techniques, ensuring consistency of results, and confirming the validity of tools like questionnaires, exemplified by measures such as Cronbach's alpha.

Significance in Scientific journals, articles, etc.:

(1) The process of assessing the reliability and accuracy of the experimental results using statistical methods.[1] (2) The process of confirming the reliability and accuracy of results produced by an analytical method using statistical techniques.[2] (3) The process of using statistical methods to confirm that an analytical method yields reliable results for a specific application.[3] (4) The application of statistical methods to confirm the reliability and accuracy of the results obtained from the UV spectrophotometric method.[4] (5) The process of confirming the reliability and accuracy of experimental methods through statistical analysis and data interpretation.[5]

(1) The process of applying statistical methods to confirm the reliability and consistency of the questionnaire, such as using Cronbach's alpha.[6]

(1) The application of statistical methods to confirm the efficacy of Siddha drugs in scientific studies, ensuring the results are reliable.[7]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.