[gov3009-l] Lok on "Optimal start of treatment based on time-dependent covariates"

Justin Grimmer jgrimmer at fas.harvard.edu
Tue Apr 8 10:05:25 EDT 2008

Dear Applied Statistics Community,

Please join us this Wednesday (tomorrow) when Judith J. Lok, Harvard School
of Public Health, Department of Biostatistics, will present " Optimal start
of treatment based on time-dependent covariates".  Judith provided the
following abstract for her talk:

Using observational data, we estimate the effects of treatment regimes that
start treatment once a covariate, X, drops below a certain level, x. This
type of analysis is difficult to carry out using experimental data, because
the number of possible values of x may be large. In addition, we estimate
the optimal value of x, which maximizes the expected value of the outcome of
interest within the class of treatment regimes studied in this paper. Our
identifying assumption is that there are no unmeasured confounders.

We illustrate our methods using the French Hospital Database on HIV. The
best moment to start Highly Active AntiRetroviral Therapy (HAART) in HIV
positive patients is unknown. It may be the case that withholding HAART in
the beginning is beneficial, because it postpones the time patients develop
drug resistance, and hence might improve the patients' long term prognosis.
However, it is unknown how long initiation of HAART can safely be postponed.

The paper for the talk can be found here

The applied statistics workshop meets at 12 noon in room N 354, CGIS Knafel
(1737 Cambridge Street) with a light lunch.  At 1215 the presentation will
begin and usually runs until 130 pm.

If you have any questions, please let me know--

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