Source: Bland J Martin, Altman Douglas G. Statistics Notes: Transforming data BMJ 1996; 312 :770
How to access: This is free to access from the above link.
Contents: This article discusses reasons why we transform the data.
Example(s) used in this: No sample data
Prior math/stat knowledge to fully understand materials: Normal distribution, variance of the data
Source: Bland J Martin, Altman Douglas G. Statistics notes: Transformations, means, and confidence intervals BMJ 1996; 312 :1079
How to access: This is free to access from the above link.
Contents: This article illustrate how to construct confidence intervals with the transformed data.
Example(s) used in this: Serum triglyceride data
Prior math/stat knowledge to fully understand matrials: Standard deviation, standard error, confidence intervals
Source: Bland J Martin, Altman Douglas G. Statistics Notes: The use of transformation when comparing two means BMJ 1996; 312 :1153
How to access: This is free to access from the above link.
Contents: This article discusses a challenge in comparing two means with the transformed data. The conclusion is the logarithmic transformation is strongly preferable to other transformations because of interpretations.
Example(s) used in this: Biceps skinfold thickness (Crohn's disease vs. Coeliac disease)
Prior math/stat knowledge to fully understand materials: Standard deviation, standard error, confidence intervals