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. Author manuscript; available in PMC: 2019 Nov 27.
Published in final edited form as: J Biopharm Stat. 2015;25(4):812–829. doi: 10.1080/10543406.2014.920858

Table 2.

Summary of the analyses of the variation of HIV-1 CVL RNA among treatments: test statistics and p-values, and treatment effect coefficients (standard error estimates in parentheses: copies/mL). Phase I Carraguard trial, Chiang Rai, Thailand.

Model Test statistic
(P-value)
Gaussian coefficients Logistic coefficients
Placebo gel Carraguard Placebo gel Carraguard
 
Nonparametric analyses: Friedman test
NQ and ND combined 10.7 ( .005) NA NA NA NA
NQ and ND separate 15.2 (<.001) NA NA NA NA
Mixed models using day seven only
Equal variances 14.1 (0.001) −0.439 (0.148) −0.543 (0.150) NA NA
Unequal variances 14.2 (0.003) −0.455 (0.153) −0.561 (0.157) NA NA
Mixed models using both days zero and seven
Equal variances 7.6 (0.02) −0.526 (0.191) −0.303 (0.193) NA NA
Unequal variances 7.6 (0.06) −0.532 (0.194) −0.309 (0.196) NA NA
Mixture models using the likelihood L2 and data from day seven only
Equal variances 4.6 (0.34) 0.036 (0.167) −0.195 (0.171) −0.553 (0.387) −0.522 (0.388)
Unequal variances 5.8 (0.32) 0.036 (0.167) −0.195 (0.171) −0.653 (0.387) −0.522 (0.388)
Mixture models using the likelihood L2 and data both days zero and seven
Equal variances 4.30 (0.37) 0.036 (0.171) −0.195 (0.177) −0.553 (0.362) −0.522 (0.356)
Unequal variances 6.86 (0.23) 0.036 (0.148) −0.195 (0.152) −0.554 (0.363) −0.521 (0.358)
Generalized estimating equation logistic regression models for a meaningful decrease
NQ and ND combined 2.2 (0.34) NA NA −0.345 (0.417) − 0.550 (0.410)
NQ and ND separate 1.0 (0.62) NA NA −0.152 (0.389) − 0.338 (0.387)

NQ: sample detectable but not quantifiable; ND: sample not detectable;

NA: not applicable.

Test statistics:

Friedman test: chi-square with 2 degrees of freedom (df).

Mixed models and mixture models: likelihood ratio chi-square with 2 and 3 df for equal and unequal variances, respectively.

Generalized estimating equation logistic regression models: Wald chi-square with 2 df.