HTA Statistics and Outcomes Research for Successful Market Access
With secondary data analyses, real-world data, and network meta-analyses, BioStats supports you in preparing HTA dossiers, benefit assessments, and reimbursement negotiations.
Successful market access for a new medicinal product depends heavily on the quality and validity of the evidence presented. In addition to clinical studies, secondary data analyses and real-world data (RWD) provide valuable evidence. With BioStats GmbH, you can generate robust results that meet the requirements of health technology assessments (HTA) and benefit assessments, serving as a basis for reimbursement decisions.
Secondary Data Analyses and Real-World Data
Secondary data analyses of clinical studies enable systematic evaluation of existing data to answer new research questions. Supplementary real-world data analyses provide insights into treatment effectiveness and safety under everyday conditions. This allows you to demonstrate the clinical value of your product beyond controlled study settings in a transparent and reproducible way.
Tailored Analyses for Complex Research Questions
Alongside standardized methods, BioStats GmbH also offers individually tailored analyses to address the specific requirements of your project. Such approaches allow complex questions to be tackled and the evidence base strengthened. Examples include survival analyses for adverse events with varying follow-up times (SAVVY), or advanced methods to improve the evaluation of adverse events.
Indirect Comparisons and Network Meta-Analyses
We also conduct indirect, adjusted treatment comparisons, enabling evaluation of therapeutic alternatives even without direct head-to-head studies. Network meta-analyses systematically and robustly link various studies to generate comprehensive evidence. (Figure 1).
BioStats GmbH supports you in creating solid evidence for HTA dossiers, benefit assessments, and reimbursement negotiations – ensuring the scientific and regulatory strength of your submissions.
Your Contact at BioStats
Contact us for a non-binding conversation with Dr. Alexander Krannich personally.
How does BioStats GmbH support the planning of clinical studies?
We help you define clear study endpoints, select a suitable study design, and carefully plan the sample size. In this way, we ensure that your study is based on scientifically sound foundations from the very beginning.
What types of studies does BioStats GmbH have experience with?
We support a wide range of study designs, including cross-sectional studies, case-control studies, cohort studies, and randomized controlled trials (RCTs). We also have special expertise in the field of digital health applications (DiGA).
What statistical methods does BioStats GmbH use?
Our team selects the optimal statistical tests and models for your project. This also includes complex procedures such as adjustment for confounders or handling multiple tests. The goal is to achieve valid and reliable results.
What expertise does Dr. Alexander Krannich bring?
Dr. Krannich is a statistician and data scientist with many years of experience in university and industrial research. His main areas of focus include the analysis of drug studies, medical device and DiGA studies, Health Technology Assessments (HTA) and real-world data (RWD/RWE).