In: Statistics and Probability
3. Consider the data shown in Table 12–19. Identify three modifications, either design or statistical, that would result in a more effective table.
TABLE 12–19 Baseline Characteristics of Participants in Randomized Trial*
Characteristic |
Treatment Group (n = 361) |
Placebo Group (n = 344) |
p-Value |
Age, years |
45.8 |
47.6 |
0.5467 |
Male sex |
201 |
198 |
0.7561 |
Systolic blood pressure |
128.25 ± 14.2 |
121.7 ± 13.91 |
0.645 |
Race/ethnicity |
|||
Asian |
184 |
180 |
|
White |
107 |
100 |
|
Hispanic |
70 |
64 |
Sol:
Since sample sizes are different, it is advisable to represent categorical variables in terms of proportions (percentages) to afford a more meaningful comparison. The following table shows this modifications:
Characteristic |
Treatment Group |
Placebo Group |
(n = 361) |
(n = 344) |
|
Age, years |
45.8 |
47.6 |
Male sex (%) |
55.68 |
57.56 |
Systolic blood pressure |
128.25 ± 14.2 |
121.7 ± 13.91 |
Race/ethnicity (%) |
||
Asian |
50.97 |
52.33 |
White |
29.64 |
29.07 |
Hispanic |
19.39 |
18.60 |
With the above modifications, it is clear that the representation of all the categorical variables have been fairly uniform between the two groups under study.
On the response variable, Systolic blood pressure, the Treatment Group has a higher mean value than the Control Group. However, in terms of variability the two groups do not differ.
Since the response variable is known to be age-related, the observed difference might be more pronounced if the age variable is also factored into the analysis.