Significance of Statistical methodology
Statistical methodology encompasses a range of analytical methods that are crucial for evaluating health data, analyzing treatment efficacy in clinical studies, and deriving conclusions from research. It ensures the reliability and validity of results through systematic techniques like regression models. Additionally, it plays an essential role in studies assessing the effectiveness of treatments, such as honey for obesity, by interpreting the data collected and understanding disease trends. Overall, statistical methodology is vital for effective data analysis in health research.
Synonyms: Statistical approaches, Statistical analysis methods, Data analysis techniques, Quantitative techniques, Statistical analysis
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 methodology in scientific sources
Statistical methodology involves systematic processes for analyzing data, particularly in clinical studies, to assess treatment efficacy and ensure the validity and reliability of study results.
From: World Journal of Pharmaceutical Research
(1) Statistical techniques applied to analyze clinical trial data and ensure safety and efficacy.[1] (2) The systematic application of statistical techniques to analyze data collected from the study assessing the effectiveness of honey in treating obesity.[2] (3) The techniques used to analyze data within the study, including regression models to assess risk factors and outcomes.[3] (4) Analytical methods used to evaluate health data and spatial epidemiology, critical for formulating hypotheses and understanding disease trends.[4] (5) Mathematical techniques used to analyze data and derive conclusions in research, ensuring the reliability and validity of the study results.[5]
From: AYU (Journal of Research in Ayurveda)
(1) Statistical methodology refers to the systematic technique utilized to analyze and interpret data collected during the study, ensuring validity and reliability of results.[6] (2) Processes involved in analyzing data to interpret the efficacy of treatments in clinical studies.[7]
From: Ayushdhara journal
(1) A systematic method used to analyze data collected during the trial, ensuring the validity of conclusions drawn.[8]