Biostatistics for Clinical Trials on Cancer トップ へ戻る

Randomization and Confounding

In the previous lectures, we focused on explaining methods of data analysis according to the type of outcome.

However, being able to analyze data does not necessarily mean that you will be able to correctly interpret the results.

The purpose of this lecture is to understand "confounding," one of the most important concepts to understand in clinical research, and why randomized clinical trials are necessary.


In the previous lectures, we focused on explaining methods of data analysis according to the type of outcome.

However, being able to analyze data does not necessarily mean that you will be able to correctly interpret the results.

The purpose of this lecture is to understand "confounding," one of the most important concepts to understand in clinical research, and why randomized clinical trials are necessary.


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