Biotatistics Consulting / Staistical Consulting in Clinical Research, Medicine and Life Sciences
Based on more than 20 years of experience (see: OCRID 0.000001-8160-3046 , ResearchGate ) ACOMED statistik offers statistical consulting. Call without obligation at Tel .: 49 (0) 341 3910195 (Dr. Thomas Keller) or contact us by e-mail .
For whom do we offer biostatistics consulting?
The statistical consulting aimed at industry (pharmaceutical industry, medical device manufacturers, diagnostics industry), contract research institutes (CRO) and research institutes, but also at individual scientists in life sciences, doctors, product managers, doctoral students who work within projects, studies ( Clinical studies, diagnostic studies) or research work require statistical advice.
Biostatistics Consulting: process
Sometimes a phone call ( 49 (0) 341 3910195, a MS teams call or an email (info@acomed-statistik.de) is enough to help. Your inquiry is welcome!
Costs only arise if these have been agreed in the offer / order.
The results are provided in comprehensible reports.
Biostatistics consulting as further training, seminar, workshop
Statistical Consulting: content
Advisory content is often concepts for intended studies, selection and explanation of statistical methods for planned and already completed surveys, determination of the sample size, selection of endpoints and suitable study populations, definition of acceptance limits in connection with non-inferiority or Evidence of equivalence.
Other consultation requests concern special evaluations of experiments in the clinical laboratory, e.g. Method validation . We also create Evaluation tools in Excel (VBA).
The assessment of research projects, clinical studies, etc. for investors is also part of the advisory activity.
Biostatistics Consulting: Continuation of the advice
Statistical consulting is often followed by other statistical services, such as B. Creation of study protocols and statistical analysis plans (SAP), planning of experiments or studies, as well as programming (SAS programming) and implementation of the analyzes themselves.
