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- David I Ohlssen, Karen L. Price, +7 authors Bradley P. Carlin
- Pharmaceutical statistics
- 2014

The Drug Information Association Bayesian Scientific Working Group (BSWG) was formed in 2011 with a vision to ensure that Bayesian methods are well understood and broadly utilized for design andâ€¦ (More)

- Roland Fisch, Ieuan Jones, Julie Jones, Jouni Kerman, Gerd K. Rosenkranz, Heinz Schmidli
- Therapeutic innovation & regulatory science
- 2015

The proof-of-concept (PoC) decision is a key milestone in the clinical development of an experimental treatment. A decision is taken on whether the experimental treatment is further developed (GO),â€¦ (More)

- Jouni Kerman
- 2006

Umacs (Universal Markov chain sampler) is an R software package that facilitates the construction of the Gibbs sampler and Metropolis algorithm for Bayesian inference. Umacs is a practical tool toâ€¦ (More)

Bayesian data analysis includes but is not limited to Bayesian inference (Gelman et al., 2003; Kerman, 2006a). Here, we take Bayesian inference to refer to posterior inference (typically, theâ€¦ (More)

A fully Bayesian computing environment calls for the possibility of defining vector and array objects that may contain both random and deterministic quantities, and syntax rules that allow treatingâ€¦ (More)

- Lilla Di Scala, Jouni Kerman, Beat Neuenschwander
- Statistics in medicine
- 2013

We present a clinical proof-of-concept (PoC) study in chronic obstructive pulmonary disease with the objective of assessing the bronchodilatory effect of an experimental drug as compared with anâ€¦ (More)

- Jouni Kerman, Peng Wang, Jon Vaver
- 2017

Two previously published papers (Vaver and Koehler, 2011, 2012) describe a model for analyzing geo experiments. This model was designed to measure advertising effectiveness using the rigor of aâ€¦ (More)

Modern Bayesian inference is highly computational but commonly proceeds without reference to modern developments in statistical graphics. This should change. Visualization has two important roles toâ€¦ (More)

- GÃ¼nter Heimann, Rossella Belleli, +4 authors Conny Berlin
- Statistics in medicine
- 2018

Signal detection is routinely applied to spontaneous report safety databases in the pharmaceutical industry and by regulators. As an example, methods that search for increases in the frequencies ofâ€¦ (More)

A fully Bayesian computing environment calls for the possibility of defining vector and array objects that may contain both random and deterministic quantities, and syntax rules that allow treatingâ€¦ (More)