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Chapter 5 - Inferential Statistics

Utilizing inferential statistics to make informed predictions and conclusions about health trends and treatments.

📄️ 5.2 Hypothesis Testing in Clinical Research

Hypothesis testing is a fundamental statistical technique used in clinical research to evaluate the validity of hypotheses about a population based on sample data. This section provides an in-depth exploration of hypothesis testing in the context of healthcare and clinical research. In health informatics, hypothesis testing can help answer questions like whether a new drug has a significant impact on patient outcomes or if there's a difference in treatment effectiveness for different patient groups.

📄️ 5.3 Statistical Test Selection

Selecting the right statistical test is a crucial step in the data analysis process. It ensures that the conclusions drawn from the analysis are accurate, reliable, and meaningful. However, with the availability of tools like Python and R, it's easy to fall into the trap of running tests without considering whether they are appropriate for the data and research question at hand. This highlights the importance of understanding the types of data, the research objectives, and the assumptions underlying each test.