- +4915906113493
- info@3d-statatistcal-learning.com
- 58453 Witten, Germany
Statistical Learning Dr. D. Djeudeu
Call Now (alternatively with the following number)
While offering various data services, We organize them into three core categories.
Leveraging our statistical expertise enables pharmaceutical, biotech, medical device companies, and contract research organizations to make well-informed decisions through precise data analysis. Our core services encompass both clinical and non-clinical statistics.
In collaboration with our partners, we offer comprehensive training and tutorials in the field of machine learning and statistics, including leading software such as SAS, R, Python, and more.
We actively contribute to publishing articles and provide our extensive statistical analysis expertise to bolster scientific research, with a primary focus on medicine, epidemiology, psychology, and the broader biomedical field.
Do you encounter challenges with your data? We can assist you in extracting the maximum amount of information from it.
1. Discovery Call (30 minutes)
2. Problem Definition and Quantification:
3. Hypothesis Formulation:
4. Sophisticated Data Analysis:
5. Customized Reporting:
6. Results Delivery and Assessment:
Individuals and organizations seeking to derive valuable insights from data encompass our potential client base. The following are examples of common clients we serve:
Our expertise ranges from the design of clinical phase I-IV trials (statistical input to study protocols, writing of statistical analysis plans, randomization, sample size calculation) and data analysis with SAS and R. High quality standards are ensured by independent validation (e.g. independent review, code review or double programming). Our statistics experts supported numerous clients in submissions to FDA and EMA.
I have solid experience in complex study designs (e.g. adaptive, Bayesian BLRM, outcome depending switching/crossover, biomarker) and the implementation of complex methods in macros (RPSFT, IPE, IPCW).
In summary, here are my services:
For the analyses, CDISC standards with ADaM datasets are used to ensure traceability, reproducibility, and compatibility across studies. If necessary, I consult on the anonymisation of clinical data.
Are you seeking answers to common client inquiries or any data-related questions?
Does the administration of Ranibizumab enhance visual acuity effectively?
In the context of multivariate logistic regression, we aim to examine the impact of nutrition on BMI and albumin levels after controlling for other variables.
The client (An Hospital in Germany) wanted to investigate the impact of intraoperative fluid volume on outcomes in geriatric patients undergoing hip fracture surgery.
A health insurance company in Germany aims to predict sick payments (Krankengeld) for its policyholders based on historical data
The objective of this analysis is to predict the Contribution Margin (DB) per Insurance Day (VT) using machine learning techniques for a health insurance company.
The aim is to analyze the potential correlation between socioeconomic and health-related factors and proximity to the physician in the Ruhr area in Germany.
Do you encounter challenges with your data? We can assist you in extracting the maximum amount of information from it. In-depth examples of completed projects can be found in the following links.: Use cases in Clinical Trials, Use cases in Health Insurance, Use cases in Academia
We have collaborated with numerous clients, some of whom have shared reviews on social media platforms as well as Google Reviews. Here we share a selection of them. You can also view them on Google Reviews or social media platforms.
Do you encounter challenges with your data? We can assist you in extracting the maximum amount of information from it.