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What is Biostatistics?

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Biostatistics is a field of study that combines biological sciences and statistics. It involves employing statistical techniques in solving biological-related tasks such as analyzing data related to medical research, health research, epidemiology, or even lab experiments. Statistics is actually used in biological sciences to help in data collection, data entry, and statistical analysis.

Therefore, biostatistics is very important in biological sciences as it helps in the development of new methods. For instance, biostatistics have been used to study patients suffering from diseases such as diabetes and high blood pressure.

Branches of Biostatistics

Biostatistics as a field has various branches that dictate how biostatistics data can be analyzed to solve different biological-related problems. Some of its branches include:

  1. Descriptive statistics: This branch of biostatistics involves analyzing biostatistics data using numerical and graphical techniques. This helps in describing the features in a dataset.  
  2. Inferential statistics: This branch involves the use of various inferential statistics to make inferences and predictions about a population using sample data. Some of the inferential statistics used include hypothesis testing, confidence intervals, and regression analysis.
  3. Survival analysis: Survival analysis is a branch of biostatistics that deals with studying how long it takes for certain events to occur. In other words, it involves analyzing time-to-event data to determine how long it takes for an event to occur. For instance, survival analysis could be conducted to determine how long it takes for specific microbiology organisms to die.
  4. Longitudinal data analysis: This branch of biostatistics involves analyzing data collected over time from the same person or a group of individuals. It involves using such techniques as repeated measure models, fixed effects models, random effects models, and mixed effects models.
  5. Spatial statistics: This biostatistics branch involves analyzing biostatistics data that contain spatial components such as geographical data.
  6. Bayesian statistics: This is a branch of biostatistics that involves using prior and posterior probabilities to make inferences about a population.

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