Significance of Statistical assessment
Statistical assessment is essential for analyzing data from clinical trials to evaluate treatment effects and determine their significance. It involves using various statistical methods, such as paired t-tests and χ2 tests, to compare the efficacy of treatments in different patient groups. For instance, in the evaluation of Vasa Ghritha treatment for Amlapitta, statistical assessment provides insights into symptom severity before and after treatment. Ultimately, these methods enable researchers to draw meaningful conclusions about the effectiveness of medical interventions.
Synonyms: Statistical evaluation, Statistical analysis, Data analysis, Quantitative assessment, Data assessment, Statistical study
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Statistical assessment in scientific sources
Statistical assessment involves analyzing treatment outcomes using methods like paired t-tests and χ2 tests to compare effects between different patient groups, ensuring a rigorous evaluation of medical interventions based on data.
From: World Journal of Pharmaceutical Research
(1) The use of statistical methods and analyses to evaluate water quality parameters and interpret data for better understanding and decision-making.[1] (2) The quantitative analysis used to evaluate the effectiveness of Vasa Ghritha treatment in patients with Amlapitta, involving comparative study of symptom severity before and after treatment.[2] (3) The application of statistical tests to evaluate the data collected during the study and assess the effectiveness of treatments.[3] (4) The use of statistical methods to analyze the significance of treatment effects on symptoms and serum uric acid levels.[4] (5) The use of statistical methods to analyze data collected during the study, aiding in the determination of the significance of results.[5]
From: International Ayurvedic Medical Journal
(1) The application of statistical methods to analyze data collected during the clinical study to determine treatment efficacy.[6] (2) The analysis of data collected during clinical studies using statistical methods to determine the effectiveness of treatments.[7] (3) The use of paired t-tests to determine the significance of treatment effects on patients' symptoms.[8] (4) The process of analyzing data collected from the clinical trial to determine the significance of the treatment effects.[9]
From: AYU (Journal of Research in Ayurveda)
(1) Statistical assessment of the treatment outcome was performed using paired t-tests and χ2 tests to compare treatment effects in the two patient groups.[10]
From: Ancient Science of Life
(1) The application of statistical methods to analyze data collected during the study, determining the significance of the treatment effects.[11]
From: Ayushdhara journal
(1) The analysis of collected data to determine the significance of changes in blood pressure and treatment effects observed in the study.[12]