Biostatistics/CRO Research

Providing full-spectrum statistical consulting and data analytics globally

This service area covers contract research in:

Biostatistics/CRO Experience

  • Data Mining techniques health e.g. cancer prediction
  • Providing confidential contract research support to independent CRO analysts on advanced statistical procedures;
  • Data management, especially SAS programming;
  • Biostatistics and design of experiments,
  • Health Economics modelling;
  • Producing Statistical Analysis Plans (SAPs) and liaising with support Statistical Programmers to review related Tables, Figures and Lists (TFLs);
  • Typical sections covered in the SAPS are description of study (primary and secondary outcomes); protocol deviations and changes in SAP; statistical considerations, study subjects and datasets analysed, including demographic and baseline characteristics; study effects (safety, efficacy, minor and adverse side-effects); and early study termination;
  • Contributing to protocol development and reviewing Clinical Report Forms (CRFs);
  • Developing suitable randomisation codes for specific studies;
  • Performing relevant survival analysis, factor analysis, and Bayesian analysis for target clinical outcomes (using SAS Proc PH REG and Proc LIFETEST);
  • Performing mixed-effects and Generalized Linear Models (GLMs) using appropriate SAS procedures e.g. PROC MIXED and Proc GLM;
  • Applying suitable clinical statistical research techniques in specific disease areas (e.g. oncology, diabetes, depression, and dermatology), for key areas of Phase I-Phase III studies (drug efficacy and safety);
  • Complying with regulatory regimes for clinical modelling of different therapeutic areas, for example oncology.

………………….

Research spin-offs

  • Creating Global Health Innovations, a digital platform, to drive innovative business models, products and services, vital for improving health outcomes and excellence across academia, industry, business and government settings
  • Using received theories and innovative practices in Digital Marketing and our 2019 PhD research on Integrated Business Model Template and complementary Digital Internationalisation Template (IBMT-DIT), which extends current capabilities in the Business Model Canvas of Osterwalder et al., to viral-market the innovations
  • Related organisational and industry spotlights, evaluation surveys, contract research, and consulting projects, particularly using the IBMT-DIT protocols, and related Hybrid Strategic and Statistical Problem-Solving Model (HSSPSM) explored in Ezepue and Ojo (2012), seehttps://www.researchgate.net/profile/Patrick_Ezepue2/research, and https://www.researchgate.net/publication/344616782.

Current project

The Role of the Private Sector in Resolving Current Challenges in Public Health Supply Chains in Enugu State, Nigeria: Implications for post-Covid-19 Policy and Operational Improvements ($15,000 circa)

Professor Patrick Oseloka Ezepue (Principal Investigator)

Dr Henry Uro-Chukwu (Co-Investigator)

Completed projects

Please see the Projects folder in this website or at www.afrihero.org.uk

Links with the Graduate School of Medical Sciences at AfriWorldhero3e

Please see http://www.oseluxworldhero3e.com/graduate-school-of-medical-sciences/

Related bibliography in ICRED Library

  1. N. Oppenheim (2005) Questionnaire Design, Interviewing and Attitude Measurement. New Edition. Continuum
  2. Alan Agresti (2010) Analysis of Ordinal Categorical Data. 2nd Wiley
  3. Arnold Zellner, Hugo A. Keuzenkamp & Michael McAleer (2001) Eds. Simplicity, Inference and Modelling: Keeping It Sophisticatedly Simple. Cambridge University Press
  4. Barbara G. Tabachnick and Linda S. Fidell (1996) Using Multivariate Statistics. 3rd Harper Collins
  5. David F. Hendry (1995) Dynamic Econometrics. Oxford University Press
  6. Dorian Pyle (1999) Data Preparation for Data Mining. Morgan Kaufmann
  7. Dorian Pyle (2003) Business Modelling and Data Mining. Morgan Kaufmann
  8. Douglas C. Montgomery (2013) Design and Analysis of Experiments. 8th John Wiley & Sons
  9. Forest W. Breyfogle III (2003) Implementing Six Sigma: Smarter Solutions Using Statistical Methods. John Wiley
  10. Geoffrey Maruyama and Carey S. Ryan (2014) Research Methods in Social Relations. 8th Wiley Blackwell
  11. George E. P. Box, Gwilym M. Jenkins & Gregory C. Reinsel (2008) Time Series Analysis: Forecasting and Control. 4th John Wiley
  12. Gerald van Belle (2008) Statistical Rules of Thumb. Second Edition. John Wiley
  13. Hadley Wickham and Garrett Grolemund (2017) R for Data Science. O’Reilly
  14. Hannah Fry (2015) The Mathematics of Love: Patterns, Proofs, And The Search For The Ultimate Equation. TED Books
  15. John L. Casti (1997) Would-be Worlds: How Simulation Is Changing The Frontiers of Science. John Wiley
  16. Lloyd D. Fisher and Gerald van Belle (1993) Biostatistics: A Methodology For The Health Sciences. John Wiley Interscience
  17. Marno Verbeek (2012) A Guide to Modern Econometrics. 4th John Wiley
  18. Miles and A. Michael Huberman (1994) Qualitative Data Analysis: An Expanded Sourcebook. Sage Publications
  19. Mike Christie, Andrew Cliffe, Philip Dawid & Stephen Senn (2011) Simplicity, Complexity and Modelling. John Wiley Statistics in Practice Series
  20. Balakrishnan (2012) Methods and Applications of Statistics in the Social and Behavioral Sciences. John Wiley
  21. Nate Silver (2012) The Signal and the Noise: The Art and Science of Prediction. Allen Lane
  22. Armitage, G. Berry an J. N. S. Matthews (2009) Statistical Methods in Medical Research. 4th Edition. Blackwell Science Publishing
  23. Philip Tetlock & Dan Gardner (2016) Super-Forecasting: The Art & Science of Prediction. Rh Books
  24. Carter Hill, William E. Griffiths & Guay C. Lim (2012) Principle of Econometrics. 4th Edition. John Wiley
  25. Roger Hoerl and Ronald D. Snee (2002) Statistical Thinking: Improving Business Performance. Brooks/Cole CENGAGE Learning
  26. Stephen D. Lapan, Marylynn T. Quartaroli and Frances J. Riemer (2012) Eds. Qualitative Research: An Introduction to Methods and Designs. Wiley | Jossey-Bass
  27. Walter Enders (2010) Applied Econometric Time Series. 3rd John Wiley
  28. Warren B. Powell & Ilya O. Ryzhov (2012) Optimal Learning. John Wiley
  29. Yuxi (Hayden) Liu (2017) Python Machine Learning By Example. Packt>. Birmingham-Mumbai

Enquiries

For more details, please contact us at:

Email:  info@afrihero.org.uk; or through Tel. no:  +447772632150 to speak to the Director of Research and Enterprise Development, Professor Patrick Oseloka EZEPUE, PhD