"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Measures of central tendency, such as mean, median, and mode, are fundamental statistical tools used to summarize data. In pharmaceuticals, these measures help in understanding the average potency of a drug, the middle value of dosage distributions, and the most frequent side effects observed. Dispersion metrics like range and standard deviation provide insights into the variability of pharmaceutical data, aiding in assessing consistency and reliability. Correlation and regression analyses, including Pearson's coefficient and multiple regression, are crucial for identifying relationships between variables, such as dose-response curves, and optimizing drug formulations. Additionally, probability concepts and various statistical tests underpin the design and interpretation of clinical trials, ensuring robust and scientifically sound conclusions in pharmaceutical research.
Ms. Payal Ahlawat
Payal Ahlawat is working as vice-principal at CBS college of pharmacy and technology, Faridabad. She has more than 10 years of experience in teaching and research at under graduate and post graduate levels. She has attended many national and international conferences in India. She has several patents and publications to her name .She has guided a number of students for project work.
