Roos Colman, freelance biostatistician:

As a statistician with a biomedical background, I advise and work with passionate researchers in life sciences.

I’m looking forward to learning about your research questions, analyzing your data and discussing the results leading to new insights…

and new, even more interesting questions.

 

Education:

Master of statistical data analysis (Ghent University)

Master of biomedical sciences (Ghent University)

 

Professional experience:

Statistical consultant at the Biostatistics Unit of the Faculty of Medicine and Health Sciences – Ghent University (6+ years)

Biostatistician at Innogenetics, a biotechnological company developing diagnostic products (2+ years)

Research Associate at the Mass Spectrometry department of Pronota, an innovative proteomics company (2+ years)

 

Statistical topics:

I have experience with a variety of statistical topics, including:

  • Prediction models based on generalized linear regression analysis: multiple linear, logistic, ordinal, negative binomial regression… etc
  • Mixed models and multilevel models for clustered, hierarchical or correlated data; longitudinal data analysis
  • Analysis of spectroscopy data: Principal Component Analysis (PCA) and Partial Least Squares regression (PLS regression)
  • Clustering and Classification
  • Differential expression analysis for microarray, RNA-sequencing and metabolomics data. (SAM, Emperical Bayes)
  • Statistical Process Control (SPC)
  • Comparison of measurement methods
  • Survival analysis
  • Propensity score matching
  • Multiple imputation of missing values
  • Experimental design
  • Study design
  • Sample size and power calculations
  • Generating randomization schemes

Software packages: R and SAS

 

Publications:

Roos Colman co-authored of around 20 scientific publications, including:

Effect of early and systematic integration of palliative care in patients with advanced cancer: a randomised controlled trial. Vanbutsele G, Pardon K, Van Belle S, Surmont V, De Laat M, Colman R, Eecloo K, Cocquyt V, Geboes K, Deliens L. Lancet Oncol. published online 2018 Feb 2. (Impact factor 33.9)

 

A Glycomics-Based Test Predicts the Development of Hepatocellular Carcinoma in Cirrhosis. Verhelst X, Vanderschaeghe D, Castéra L, Raes T, Geerts A, Francoz C, Colman R, Durand F, Callewaert N, Van Vlierberghe H. Clin Cancer Res. 2017 Jun 1;23(11):2750-2758. (Impact factor 9.6)

 

Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study. Hoste EA, Bagshaw SM, Bellomo R, Cely CM, Colman R, Cruz DN, Edipidis K, Forni LG, Gomersall CD, Govil D, Honoré PM, Joannes-Boyau O, Joannidis M, Korhonen AM, Lavrentieva A, Mehta RL, Palevsky P, Roessler E, Ronco C, Uchino S, Vazquez JA, Vidal Andrade E, Webb S, Kellum JA. Intensive Care Med. 2015 Aug;41(8):1411-23. (Impact factor 10.1)