Harvard Biostatistics Multiple Lecture Courses

** 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