What Is Clinical Biostatistics?

Biostatistics is the earliest branch of biomathematics. It was formed in the process of studying the objective phenomena and problems of biology by using the principles and methods of statistics. Some basic methods have been further developed. Biostatistics is a branch of applied statistics. It applies statistical methods to the fields of medicine and biology. Here, there is some overlap between mathematical statistics and applied statistics. For example, in some instances, an existing standard statistical method If it is not applicable, it must be revised. In this case, biostatistics involves how to develop new methods. ^[1-2]

Biostatistics is the earliest branch of biomathematics. It was formed in the process of studying the objective phenomena and problems of biology by using the principles and methods of statistics. Some basic methods have been further developed. Biostatistics is a branch of applied statistics. It applies statistical methods to the fields of medicine and biology. Here, there is some overlap between mathematical statistics and applied statistics. For example, in some instances, an existing standard statistical method If it is not applicable, it must be revised. In this case, biostatistics involves how to develop new methods. ^[1-2]

In physical measurement, measurement error is an important issue. Correspondingly, statistical processing must be applied in biological research. The primary reason is variation. Consciously

Biostatistics includes experimental design and statistical analysis.

Test design refers to the application of the principles and methods of mathematical statistics, formulating test plans, selecting test materials, reasonable grouping, and reducing test errors, so that we can use less manpower, material resources and time to obtain rich and reliable data.

Statistical analysis refers to the application of the principles and methods of mathematical statistics to analyze and infer data, to understand the nature and regularity of objective things, so that we can draw reasonable conclusions about the data studied. Second, because things are interconnected, statistics Various phenomena cannot be studied in isolation, but a certain number of observations must be used to study the interrelationships between things. Reveal the regularity of the objective existence of things, statistical analysis and experimental design are two inseparable parts. The test design must be based on the principles and methods of statistical analysis. Properly designed experiments provide rich and reliable information for statistical analysis. The two are closely combined to infer reasonable conclusions and continue to promote the development of applied biological science research. ^[2]

Modern biostatistics has been widely used in scientific research and production practice. Its basic functions are:
1. Provide methods for scientifically organizing and analyzing data. When we do any work, we must master the basic situation and be aware of what we have in mind, so as to improve the quality of work. In biological research, it is no exception. It is necessary to collect data in a planned manner and carry out reasonable statistical analysis. The data obtained through investigation and processing can be used to summarize the inherent regularity of things and guide production.

2. Judging the reliability of test results

Due to experimental errors, the data obtained from the experiments must be statistically analyzed to obtain reliable conclusions.

3. To provide the principles and methods of experimental design for any investigation or test work, there must be a thorough plan and reasonable experimental design in advance. It is the most important part of a scientific research work and a good experimental design. It can use less manpower, material resources and time to obtain rich and reliable data to the maximum extent and minimize test errors.

4. To lay the foundation for learning other courses, we must learn genetics, breeding and other disciplines. You must learn biostatistics. such as. Quantitative genetics is a discipline that studies the inheritance and variation of quantitative traits using biostatistical methods. If you do not understand biostatistics, you cannot master genetics. In addition. Reading Chinese and foreign scientific and technological literature often encounters statistical analysis problems. Basic knowledge of biostatistics is also required. Therefore, biological scientists must learn and master the method of judging the juice in order to correctly understand the regularity of the existence of objective things and improve the quality of work.

In short, biologics is a very useful tool. Correct use of this tool can make scientific research more effective and make production more efficient. Therefore, it is the basic knowledge that every biological scientist must master. ^[2]