
Nadeem Shafique Butt
Professor of Biostatistics
Department of Family and Community Medicine
King Abdulaziz University, Kingdom of Saudi Arabia
Contact Information
- Email:info@nsbstat.com
- Phone:+92-312-4441234
- Website:nsbstat.com
Research Interests
- Biostatistics
- Survival Analysis
- Clinical Trials
- Statistical Computing
- Medical Research Methodology
Education
Ph.D. in Statistics
2005-2009University of Example, Country
Dissertation: "Advanced Statistical Methods for Survival Analysis in Medical Research"
M.Phil. in Statistics
2003-2005University of Example, Country
Thesis: "Statistical Analysis of Clinical Trial Data: Methodological Considerations"
M.Sc. in Statistics
2001-2003University of Example, Country
Specialized in Biostatistics and Research Methodology
Professional Experience
Professor of Biostatistics
2018-PresentKing Abdulaziz University, Saudi Arabia
Department of Family and Community Medicine
- Teaching graduate and undergraduate courses in biostatistics and research methodology
- Conducting research in statistical methods for medical and health sciences
- Providing statistical consultancy for research projects and clinical trials
- Supervising graduate students' research work
Associate Professor
2013-2018University of Example, Country
Department of Statistics
- Taught courses in biostatistics, survival analysis, and research methodology
- Led research projects in statistical methods for medical research
- Collaborated with medical researchers on various clinical studies
Assistant Professor
2009-2013University of Example, Country
Department of Statistics
- Taught undergraduate courses in statistics and research methods
- Conducted research in statistical methods for medical data analysis
- Provided statistical consultancy for faculty research projects
Selected Publications
Author of over 150 research papers in internationally recognized and abstracted journals. Selected publications include:
Statistical Analysis of COVID-19 Data: Trends and Patterns
Journal of Medical Statistics, 2022
Comparative Study of Survival Analysis Methods in Cancer Research
International Journal of Biostatistics, 2021
Application of Machine Learning in Predicting Disease Outcomes
Computational Statistics in Medicine, 2021
Meta-analysis of Clinical Trials: Methodological Considerations
Statistical Methods in Medical Research, 2020
Bayesian Approaches to Handling Missing Data in Health Surveys
Journal of Applied Statistics, 2020
Skills & Expertise
Statistical Methods
- Survival Analysis
- Clinical Trial Design and Analysis
- Multivariate Analysis
- Meta-Analysis
- Longitudinal Data Analysis
- Statistical Computing
Software & Tools
- R Statistical Software
- SPSS
- SAS
- Stata
- Python for Data Analysis
- DataStatPro
Statistical Software Development
DataStatPro
Statistical Analysis Web Application
Developer and creator of DataStatPro, a comprehensive web-based statistical analysis application designed specifically for educational and research purposes. This innovative platform serves the academic and research community by providing free access to advanced statistical tools, making statistical education more accessible and interactive for students, educators, and researchers worldwide.
Community Service: DataStatPro is provided as a free educational resource, demonstrating a commitment to advancing statistical literacy and supporting the global academic community.
Key Features & Capabilities
Interactive Statistical Tests
Comprehensive suite of statistical tests including t-tests, ANOVA, correlation analysis, and regression
Dynamic Data Visualization
Real-time chart generation including histograms, scatter plots, box plots, and statistical graphs
User-Friendly Interface
Intuitive design that makes complex statistical analysis accessible to users of all skill levels
Educational Modules
Step-by-step guidance and explanations to support learning and understanding of statistical concepts
Data Import & Management
Flexible data input options with tools for data cleaning, transformation, and management
Export & Reporting
Professional report generation with downloadable results and visualizations
Target Audience
- Statistics and biostatistics students
- Educators and academic instructors
- Researchers in health and medical sciences
- Graduate students conducting research
Educational Impact
- Enhances statistical education accessibility
- Bridges theory and practical application
- Supports remote and online learning
- Promotes statistical literacy globally
Experience DataStatPro
Explore the comprehensive statistical analysis capabilities and educational resources available through DataStatPro.
Visit DataStatProProfessional Memberships
- 1
American Statistical Association (ASA)
Member since 2010
- 2
International Biometric Society (IBS)
Member since 2012
- 3
Royal Statistical Society (RSS)
Member since 2015
- 4
International Society for Clinical Biostatistics (ISCB)
Member since 2014
Languages
English
Professional Proficiency
Arabic
Professional Proficiency
Urdu
Native Proficiency