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The use of statistics allows clinical researchers to draw reasonable and accurate inferences from collected information and to make sound decisions in the presence of uncertainty. Mastery of statistical concepts can prevent numerous errors and biases in medical research.
Medicine often uses probabilistic statistics that could be far away from the scientific method. Descriptive statistics uses data to describe numerically and graphically the observations in the sample. Instead, inferential statistics uses the identification of patterns in data to draw inferences about the population.
By identifying statistical trends and trails, health care providers can monitor local conditions and compare them to state, national, and international trends. Health statistics provide empirical data to assist in the allocation of public and private funds and help to determine how research efforts should be focused.
Medical statistics. Medical statistics is a subdiscipline of statistics. “It is the science of summarizing, collecting, presenting and interpreting data in medical practice, and using them to estimate the magnitude of associations and test hypotheses. It has a central role in medical investigations.
It is very important for medical researchers and health science learners to be literate in biostatistics, as biostatistics is frequently used to assist in the design of medical research studies and to summarize, analyze, and report on data obtained from these studies.
The main sources of health statistics are surveys, administrative and medical records, claims data, vital records, surveillance, disease registries, and peer-reviewed literature.
Statistics about births, deaths, marriages, and divorces are sometimes called “vital statistics.” Researchers use statistics to see patterns of diseases in groups of people. This can help in figuring out who is at risk for certain diseases, finding ways to control diseases and deciding which diseases should be studied.
When data is taken from the health record and then used for purposes such as databases and registries, it is considered a secondary data source. Examples of registries include birth, cancer, or cardiac registries. A health information professional's job includes managing the data and maintaining its quality.
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