I. Vandertweel et al., COMPARISON OF ONE-SAMPLE 2-SIDED SEQUENTIAL T-TESTS FOR APPLICATION IN EPIDEMIOLOGIC STUDIES, Statistics in medicine, 15(24), 1996, pp. 2781-2795
In epidemiological prospective cohort studies, exposure levels of case
s with disease and disease-free control subjects can be measured by la
boratory analysis of previously stored biological specimens. In such s
tudies, a sequential t-test can be used for preliminary evaluations, a
t the expense of the smallest possible number of specimens, of whether
a new aetiological hypothesis is worth further investigation or wheth
er specimens should rather be spared to test other, more fruitful, hyp
otheses. For this purpose, we recently compared two sequential probabi
lity ratio tests (SPRTs), in which the log-likelihood ratio was either
based on an approximation, or computed exactly, and which were adapte
d to account for various control-to-case matching ratios. The tests tu
rned out relatively conservative, particularly in terms of the signifi
cance level achieved. In the present paper, we compare an SPRT for mat
ched or paired data based on Rushton's approximation to the log-likeli
hood ratio with a profile log-likelihood method developed by Whitehead
. The comparison is partly mathematical, and partly based on computeri
zed simulations. Average sample size for a sequential test is already
smaller than for the equivalent fixed sample test. Increasing the numb
er of controls matched per case further reduces the average sample siz
e necessary to come to a decision. We show that, irrespective of the n
umber of controls per case, pre-specified levels of statistical power
and significance are respected closely by Whitehead's method, but not
by Rushton's SPRT. This last procedure can lead to a significant loss
in power. Since, in addition, Whitehead's method has been implemented
in a commercially available computer program (PEST), we conclude that
this method can be preferred to the methods we described earlier. More
over, compared with the method of Rushton, Whitehead's method has the
advantage that it can also be applied to groupwise inspection of the d
ata and that it can also be converted easily into a truncated procedur
e.