Basic Knowledge in Common Clinical Statistical Methods
Keywords:Sample size, Sampling methods, Clinical trials, Regression and corelation
Advanced statistical methods reduce a complex problem to simple results in research. When the statistical methods are well-known, new dimensions will be brought to the subject. A strong structure will be constructed between the problem and the unbiased results. Biostatistics concern with scientific method for collecting, organising, summarising data as well as drawing valid conclusion and making reasonable decision on the basis of such analysis in health domain. İt concern many different methods for clinical, basic and applied sciences to solve the complex problems. Today statistical methods are frequently used for every fields of
medical research. Biostatistics has reasonable proposals and methods for each steps of the problem solving in medical area. Statistical methods were developed for many different structure of the clinical design. Many design based on randomisation. Randomisation is important because if done properly it will minimise selection and other types of bias. In design of research, the researcher must learn and applied, internal and external randomisation to be unbiased. Except this, there are many important points in the statistical content that must be taken into account by the researcher in the study. In the current review, basic knowledge of common clinical statistical methods was presented.
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