What is Biostatistics?
Biostatistics is the applied interdisciplinary field which has the application of statistics to solve problems in various fields like biology, medicine and public health. Biostatistics is an interesting field because it merges Maths, science and statistics in the study of living organisms especially Nowadays there is a numerous data been generated worldwide and biostatisticians help to analyze the data effectively. They develop a novel strategy to discourse the emerging problems through study design, process and analysis of that specific research.
Biostatistics is a relatively young discipline that evolved during the last century to become an important aspect of all the sciences. The term statistics now usually includes both descriptive and analytical domains. The reasons for studying statistics is to be able to read and evaluate journal articles, to effectively conduct research, to further develop critical thinking and analytical skills.
Biostatistics is the application of statistics to a variety of topics in biology. The goal of biostatistics is to disentangle the data received and make valid inferences that can be used to solve problems in public health, plant breeding or ecological analysis. Biostatistics uses the application of statistical methods to conduct research in varied areas of biology. Basic concepts of biostatistics and their applications and interpretation include topics as descriptive statistics, graphics, diagnostic tests, probability distributions, inference, regression, and life tables. It has been playing an important role in a wide range of applications. Examples include the design of biological experiments, evaluation of the spread of a disease, modeling, and hypothesis generation.
Biological data (both quantitative or qualitative) are highly variable and diverse. Range, mean deviation, standard deviation (SD), and coefficient of variation serve as measures of variability for biological samples. Range is defined as the difference between the highest and the lowest figures. Mean deviation is the average value of the deviations from the arithmetic mean of a biological sample. SD depicts the root mean square of the mean deviation. The coefficient of variation is a measure for comparing relative variability in biological samples.
Importance
At this time of high-throughput experiments, we deal with laboratory equipment constantly pouring out mountains of data. But without a knowledge of statistics and the techniques required to summarize, analyze, and interpret these data, we are very limited in what we can learn from our observations. This will in turn inhibit our ability to move forward in our research. It is therefore imperative that we understand the basics of probability, descriptive statistics,statistical distributions, and some simple parametric hypothesis tests.
Benefits of the course in terms of career advancement
In this course we will discuss some of the fundamental concepts in biostatistics like the hypothesis testing, distributions, regression analysis etc. and we will also talk about the application of Biostat in the field of Genetics, Ecology, Population, Health etc. so that you not only get a clear idea about the subject but also get to know how to handle data in practical applications. By opting for this course you will not only be able to face the knowledge based interview questions but you will also be ahead of your competitors.
Career Opportunities In This Field
Biostatistics is a leading career now. A biostatistician plays a very important role in development and application of statistical technique for the purpose of scientific research in many public domains like health care, pharmaceutical companies, educational institutes, research labs,universities, government organizations, hospitals and other companies in the medical industry.
To become a biostatistician, it is important for the individual to possess analytical skills that enable them to asses a data and analyze it effectively.The individual must pay a strong attention to detail and also know how to use a computer. Biostatisticians usually use their knowledge of statistics, mathematics, and science to research on matters of healthcare. They can work privately for specific organizations or they can work in the public sector for the government. Biostatisticians must also have good time and resource management skills apart from being good at mathematics to become successful at their jobs. Another skill that the biostatistician must have is that he must be able to communicate effectively, both written and verbally and possess excellent interpersonal skills.
They work as a researcher or alongside researchers in finding and evaluating data that will answer many medical questions such as the relationship between two variables etc. Working with the researchers, they find the best way to collect the data by offering tips on what techniques can be used to collect the data or calculating the number of people that will be needed in a research to make it meaningful.
If you are doing your research in the field of ecology, then your guide might also ask you to formulate your own statistical programme to evaluate the data. So in such a case you need to have a basic computer programming concept and the knowledge about the existing statistical tools, so that as per your requirement you can select the tools and build your own programme.
A bachelor’s degree is adequate to become a biostatistician; however, more complex work typically requires a Master of Science (M.Sc.) in Biostatistics, Mathematics or Statistics.Courses usually include differential equations, calculus, and linear and abstract algebra.
To be considered for most graduate programs, students must complete advanced math and statistics courses to be accepted into biostatistics graduate programs. In some cases, earning a master’s in biostatistics is actually a specialization in the public health or statistics fields.