Acta Chimica and Pharmaceutica Indica
ISSN: 2277-288X

Statistical Methods For Drug Data Analysis

Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation). The statistical approach involves defining phenomena in terms of numbers and then using the numbers to either imply or deduce cause and effect. Statistics are a key research tool for quantitative researchers. Statistics are broadly classified into two categories, Descriptive and Inferential statistics. Descriptive statistics deals with simplification of the data into understanding form to give concise description of complex information and demonstrating the pattern in the data sets. As medical research and clinical observation never stops at description, it tends to determine whether the characteristics and pattern in data sets are unusual or happened by chance. This step is crucial in taking decisions and application of the findings into clinical application. Inferential statistics helps in taking these decisions which includes hypothesis testing. Types of Statistical Methods Descriptive Methods. This type of method consists of all the preliminary steps to final analysis and interpretation. Analytical Methods. Inductive Methods. Inferential Methods. Applied Methods 

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