Nadeem Shafique Butt

Professor of Biostatistics

Department of Family and Community Medicine

King Abdulaziz University, KSA

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Professor Nadeem Shafique Butt

Nadeem Shafique Butt

Professor of Biostatistics

Department of Family and Community Medicine

King Abdulaziz University, Kingdom of Saudi Arabia

Contact Information

Research Interests

  • Biostatistics
  • Survival Analysis
  • Clinical Trials
  • Statistical Computing
  • Medical Research Methodology

Education

Ph.D. in Statistics

2005-2009

University of Example, Country

Dissertation: "Advanced Statistical Methods for Survival Analysis in Medical Research"

M.Phil. in Statistics

2003-2005

University of Example, Country

Thesis: "Statistical Analysis of Clinical Trial Data: Methodological Considerations"

M.Sc. in Statistics

2001-2003

University of Example, Country

Specialized in Biostatistics and Research Methodology

Professional Experience

Professor of Biostatistics

2018-Present

King 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

2013-2018

University 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

2009-2013

University 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

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Professional 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