Dr. Bernd-Wolfgang Igl (Bayer AG)
Dose-response analysis is a central part in statistical evaluation of toxicological bioassays. Two approaches are used: simultaneous testing of order-restricted multiple contrasts and regression-based modeling. The first one considers the DOSE qualitatively, i.e. as randomized factor whereas the second assumes DOSE as quantitative covariate (in bioassays commonly for grouped dose levels). Both approaches are demonstrated by means of real data examples where robustness, e.g. against downturn effects is discussed. Moreover, a new approach is explained, where DOSE is jointly considered both quali- and quantitatively.
The recent p-value controversy is discussed from the perspective of regulatory toxicology where first confidence intervals for specific selected effect sizes are recommended. Secondly, the inclusion of individual data points within or without a prediction interval is proposed as an alternative to common-used null-hypothesis significance tests. The prediction intervals are defined for any single future value of a group with sample size n_i using the controls of multiple historical bioassays. The within- and between assay variance is considered by a mixed effect model.
Finally, the question will be discussed why the proof of safety („be safe in negative results“) is not widely used in routine up to now.
The “third main set” of statistics is: software must be available. And therefore all methods are demonstrated using //R-//CRAN packages.
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
Whatever your current challenge(s) at work, this workshop will explore what's holding you back, and how barriers can be removed in order to progress and achieve.
A PSI Training Course covering the statistical methods for repeated measures and other clustered data. Course will cover: Conditional models for continuous hierarchical data, Conditional models for continuous longitudinal data, Marginal models (GEE) for continuous longitudinal data & Discrete data.
We’re now searching at all levels for Biostatisticians and Statistical Programmers to join our International BARDS Health Technology Assessment team at our London and Zurich hubs.
The Associate Director of Biostatistics is the key client interface for all statistical issues and discussions.
In this role you will consult in the design of complex and innovative studies and clinical trial programs as well as Leading DMC/DSMB processes.
This is an excellent opportunity for someone that loves working directly with clients, contributing as a high-level project lead and key contributor.
Join our growing team and discover your extraordinary potential by working as a Covance by Labcorp Biostatistician 2 within our early phase biostatistics department.
The opportunity to combine an exciting professional career with excellent quality of life in the Cairngorms National Park area of Scotland.
Join our growing team and discover your extraordinary potential by working as a Covance by Labcorp Principal Biostatistician.
As a seasoned Biostatistician, will work primarily on Immunology: GI and Dermatology trials with a focus on Late Phase studies. Some PK Analysis experience highly desired.
As a seasoned Biostatistician, will work primarily in late phase oncology.
As an experienced pharmaceutical statistician, you will support Cytel and a client of our Functional Service Provider (FSP) division.
As a Sr Bios, you will function independently as Lead Statistician on projects and support/project statistician on others.
The Senior Manager Biostatistics will be responsible for leading biostatistics strategy and activities for a compound and/or for individual clinical studies.
As a Sr Mgr, Biostatistics you will manage a team of Statisticians and Programmers within the FSP department, as well as managing project work.
At its core, the role of a Senior Statistician at Veramed is to provide statistical support to the statistics and programming department across a range of projects, clients and therapeutic areas.
As a Senior or Principal Biotatistician, you will hold a combined project leadership and hands-on technical statistics role, working across a range of phases and therapeutic areas.
You will participate in the development of study protocols including participation in study design discussions and sample size calculations, and review CRFs and data review guidelines.
As a Senior or Principal Statistician, you will hold a combined project leadership and hands-on technical statistics role., working across a range of phases and therapeutic areas.
We are looking for passionate and motivated statisticians to work within our Services team to deliver high quality, innovative, analytical services within a clinical setting as our KerusCloud platform moves into the next phase.
Would you like to join a dynamic, growing firm where you can really make an impact, not just on the company but to accelerate drug development and ultimately benefit patients?
Opportunity to join Amgen's centre for design & analysis. We are looking for a talented Statistician to join the Global Biostatistical Science team.
