Contact Europe

6 rue Jean Pierre Timbaud

Le campus - Bâtiment A1 SUD

78180 Montigny le Bretonneux


Tel. : +33(0)

Fax. : +33 1 80 90 50 89

Contact North America

Popsi Cube, Inc.

150 N. Radnor-Chester Road

Suite F-200

Radnor, PA 19087

Tel: 610-977-2420

Contact China

Under translation. Please come back later


Popsi Cube China

N.666 High Tech Avenue


Biolake, Sino-french centre


430075, Wuhan, Hubei,


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Popsi Cube can manage your clinical studies from beginning to end. As part of this process, our Data Management/Biostatics Department can develop entire protocols and statistical plans, and then conduct the planned analysis accordingly. Popsi Cube can also provide independent biostatistics services, in particular for prospective analyses.

Popsi Cube uses the STATA software (validated by FDA) in its 11.1 version. STATA supports the management of very large sets of data points at a remarkable processing speed, allowing an exhaustive and effective analysis. The statistical analyses conducted can be of many types :

  • Assessment of  the number of subjects required for a particular statistical analysis method

  • Development of interim analyses while controlling the increase in the alpha type risk

  • Description of variables (statistical points) and of the behavior of variables (relations, correlations)

  • Tests of superiority and equivalence: comparison of averages, dispersions, proportions (linked or independent data)

  • Univariate and multivariate analyses (e.g. linear model, logistic model or multinomial logistic model)

  • Implémentation of survival models (e.g. Cox model)

Example of Survival curve for a survival analysis

Data can be presented as tables or graphs forms. Beyond the basic statistical analysis, Popsi Cube can provide a clinical interpretation of the data for use in medical publications or final statistical reports, and this in both English or French.
Our Data Management/Biostatistics Department can also provide the following services:

  • Study randomization

  • Database development

  • Creation of CRF/eCRF

  • Data capture (simple/double)

  • Consistency tests

  • Data management reports and statistical reports

  • Database freeze

  • Reconciliation with pharmacovigilance databases

  • Export of raw and of processed data in several formats

  • Development of clinical report

  • Support for the scientific publication of study results