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  \textbf{\Large{\textsc{STANFORD UNIVERSITY}}}\\[5pt]
  \textbf{\Large{\textsc{DEPARTMENT OF STATISTICS}}}\\[5pt]
  \Large{\textsc{DEPARTMENTAL SEMINAR}}
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% "Weekday", and "Date of talk". An example is provided.
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  4:15 p.m., Tuesday, August 14, 2007
  %% Example: 4:15 p.m., Tuesday, February 13, 2007\\
  Sequoia Hall Room 200\\
  (Cookies at 3:45 in 1st Floor Lounge)
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% In the following statements, replace "Name of the speaker" with your
% name, "Department Affiliation" with your department affiliation, and
%"University Affiliation" with your university affiliation.

\begin{center}
  \textsl{Pablo E. Verde} \\
  Coordination Center for Clinical Trials\\
  Heinrich Heine University \\
  Duesseldorf \\
  Germany
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  \subsection*{Modern meta-analysis: a case study in combining results of diagnostic test data}
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% In the following statements, replace "Abstract of the talk"
% with your abstract.

\noindent

Meta-analysis of clinical studies reporting diagnostic results is a common problem in medical statistics. Current
meta-analytic methods (e.g. the summary ROC curve) fail to propagate the large variability that is presented in these
data into the analysis.

The aim of this work is to develop a practical modeling framework for the typical case where clinical studies report
estimates of sensitivity and specificity. We build a hierarchical model that allows incorporating multiple sources of
variability. The model is further extended to a meta-regression approach.

Statistical computations are performed with Markov chain Monte Carlo (MCMC) methods implemented in WinBUGS software
making the model easy to apply for practitioners.  Our approach is illustrated with a systematic review evaluating the
potential diagnostic benefits of computer tomography scans in diagnostic of appendicitis.

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