purposes, different research questions and hypotheses, different designs,
different data models ... in the end, various statistical and other
analytical approaches. At
we are prepared to tackle these challenges -
not just technically by analyzing your data rigorously, but also
conceptually by translating results back to their strategic or clinical
in this area?
Rigor, for one: we do not
just "run" analyses. Our selection of analytical models and
techniques is driven by the questions and hypotheses at hand, considers
the characteristics (limitations and opportunities) of data and
their distributions, and balances complexity with interpretability.
If several approaches exist, we explore these as well and interpret the
relative advantages and disadvantages of each.
We look beyond the Xs
and Ys, remembering throughout the analytical process that these
mathematical symbols may represent patient characteristics, diseases,
treatments, responses to treatment, etc. We do not merely try "to
fit data to statistical models" and judge success on the basis of
"goodness-of-fit". We focus instead on building strong and
defensible statistical foundations for real-world concepts and contexts.
Our expertise goes beyond
conventional biostatistics. We are just as skilled in analytical
models from other disciplines: decision sciences, health services
research, behavioral and social science, measurement, business and
We can tackle complex
issues: multi-level separation and differentiation of (latent) effects and
outcomes, risk adjustment, causal modeling and causal chain analysis with
noncontrolled data, embedded pattern detection, ...
Through our academic affiliations in the USA
and Europe, we have built alliances with some of the world's foremost
experts in quantitative science and statistics.
provides analytical consulting services. That, we believe, is
different from being a "stats outfit".
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