Table 2.

Pearson’s correlation between antigen-induced chemokine production and CD4⁺ T cell counts

	MIP-1α PHA	MIP-1β PHA	RANTES PHA	MIP-1α Candida	MIP-1β Candida	RANTES Candida	MIP-1α p24	MIP-1β p24	RANTES p24	MIP-1α HIV	MIP-1β HIV	RANTES HIV
Pearson’s correlation, CD4 counts (r)	.124	.125	.062	.259	.260	.159	.224	.224	.128	.154	.248	.078
Significance, two-tailed (P)	.252	.253	.570	.016	.016	.141	.037	.037	.238	.154	.021	.473
N	87	86	87	87	86	87	87	87	87	87	87	87

Pearson’s correlation analyses were used to establish the correlation between CD4⁺ T cell counts and chemokine production. The analyses assume that the two variables are measured on at least interval scales and determine the extent to which values of the two variables are related to each other. The value of correlation (i.e., correlation coefficient, or r) indicates the extent to which values of the two variables are proportional (i.e., linearly related) to each other, independently of the specific measurement units used. An r value of 1 indicates that the two variables are perfectly linearly related. For biological data, values below 0.4 are arbitrarily considered “weak.” N = number of subjects. Columns in bold face type are statistically significant (i.e., P ≤ 0.05).