The two central aspects of psychotropic drug response, the proportion of patients in whom a
therapeutic response is induced ("incidence") and the time to onset of improvement ("latency"),
are often combined into a single, 1-dimensional "cure" model by means of survival-analytical
techniques. This cure model incorporates non-responders in addition to modeling the time to
an a priori defined clinical response. Patients who dropped out of the trial prior to the
envisaged observation period are treated as "censored" data under the assumption of random
censoring. The non-parametric generalized maximum likelihood for the model is obtained from
the Kaplan-Meier (KM) product limit estimator. By contrast, when separating incidence and
latency through a 2-dimensional cure model, tests become available [Kolmogorov-Smirnov,
Cramer-von Mises] to explicitly compare the speed of improvement between treatments among improvers.
Among patients who meet improvement or response criteria, the distribution of the individual onsets
is slightly left-skewed, yet approximately normal, covering a wide range from early to late
improvement/response with mean values around day 12-14 (improvement) and day 18-20 (response).
Unexpectedly, there are almost no differences between treatment modalities in this respect,
with differences between active compounds, and between active compounds and placebo,
being reflected only by the total number of improvers and responders. The subtle differences in
the "average" onset are likely the effect of non-standardized placebo washouts which may explain
a ±2 day shift of baseline, or may relate to the dose titration differences in the first days of
treatment.
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