applied-statistics.de

What It Is

applied-statistics.de is the personal statistical consulting website of Dr. Paul Schmidt, a Berlin-based PhD statistician in Germany. It is not a standard SaaS platform. The service is aimed at pharmaceutical companies, healthcare businesses, CROs, research institutions, and industrial or commercial clients. Its core value is expert consulting for statistical design, data analysis, modeling, and research reporting.

Core Capabilities

The site highlights capabilities mainly in pharmaceutical and clinical research statistics, including clinical trial data analysis, preparation and review of statistical analysis plans, support for dossier writing, coordination of statistical requirements in Germany’s AMNOG process, statistical support for the DiGA/DiPA Fast Track, and participation in hearings as a statistical expert. In research settings, it covers sample size estimation, study design, meta-analysis, support for the methods and results sections of academic papers, and review of research and ethics applications. On the industrial side, services include complex data analysis, predictive modeling, simulation model optimization, and development of R/Matlab scripts and analytical workflows.

Pricing and Engagement Model

There are no standard packages or public prices. The website states clearly that, because statistical projects vary widely, it first conducts a feasibility check and then estimates costs by task or project. Projects with an unclear scope can proceed on an agreed day-rate basis. For clients with long-term or recurring statistical needs, fixed-period cooperation contracts are also available.

Pros and Cons

Its strengths lie in a solid professional background: Dr. Schmidt holds a PhD in statistics and has more than 15 years of experience as an independent statistical consultant. The disclosed case experience includes demanding scenarios such as projects involving Kyowa Kirin, collaborations with GlaxoSmithKline, and DiGA randomized controlled studies. The service chain is relatively complete, spanning study design, statistical analysis, and results reporting. The limitations are also clear: this is not a productized SaaS offering, and there is no public free trial, third-party integrations, API, team permissions, self-hosting, or cloud deployment information. Data security and compliance certifications are also not described in detail in the main content.

Who It’s For

It is better suited to pharmaceutical companies, digital health application providers, CROs, research teams, and industrial R&D departments that need high-quality statistical methodology support, especially for projects involving German market access, clinical evidence generation, observational studies, or complex modeling. It is not suitable for users looking for standardized online statistical software, low-cost self-service analytics tools, or enterprise collaboration platforms.

Access from China

The main content does not provide information about access from China, nodes, or localization. Actual accessibility is unknown.