Statistical Clarity for Rigorous Research and Better Decisions
Independent statistical consulting in survey sampling, computational statistics, machine learning, biostatistical analysis, epidemiological modelling and research methodology.
Dr. Saadia Masood, PhD, CStat, PStat®
Fellow of the Royal Statistical Society (FRSS) | Member, American Statistical Association (ASA)
Tenured Associate Professor of Statistics
Welcome to the professional profile of Dr. Saadia Masood, Tenured Associate Professor of Statistics at PMAS-University of Arid Agriculture Rawalpindi, Pakistan. Dr. Masood is a Chartered Statistician and Fellow of the Royal Statistical Society, UK, with expertise in survey sampling, randomized response techniques, statistical quality control, epidemiological modelling, computational statistics, and applied data analysis.
Her academic work focuses on developing efficient statistical methods for real-world problems, particularly in sensitive data collection, auxiliary information-based estimation, non-response, measurement error, and public health-related statistical modelling.
About Us
Dr. Saadia Masood holds a PhD in Statistics with specialization in Survey Sampling from Quaid-i-Azam University, Islamabad. She is currently serving as a Tenured Associate Professor of Statistics at PMAS-University of Arid Agriculture Rawalpindi.
She has extensive teaching, research, supervision, and consultancy experience in statistics. Her research work combines theoretical advancement with applied statistical solutions in areas such as finite population estimation, sensitive variable estimation, randomized response models, quality control charts, machine learning, and epidemiological modelling.
As a Chartered Statistician, Fellow of the Royal Statistical Society, UK, and Fellow American Statistical Association, USA Dr. Masood maintains a strong international professional profile and contributes actively to statistical education, research supervision, journal reviewing, and academic development.
Research Expertise
Dr. Masood’s research expertise includes:
Survey Sampling
Designing reliable sampling methods for accurate and representative survey results.
Randomized Response Techniques
Protecting respondent privacy while collecting sensitive research data.
Sensitive Variable Estimation
Estimating sensitive variables using accurate and confidential statistical methods.
Finite Population Mean, Median, and Variance Estimation
Accurate estimation of population mean, median, and variance using advanced statistical techniques.
Auxiliary Information-Based Estimation
Improving estimation accuracy using relevant auxiliary information.
Non-Response and Measurement Error
Reducing survey bias caused by non-response and measurement errors.
Statistical Quality Control
Monitoring and improving quality through statistical control techniques.
EWMA, DEWMA, CUSUM, and Shewhart Control Charts
Applying advanced control charts for process monitoring and quality improvement.
Epidemiological and Infectious Disease Modelling
Building statistical models to study disease spread and public health.
Computational Statistics
Developing computational methods for complex statistical analysis.
Machine Learning Applications
Applying machine learning techniques for predictive data analysis.
Multivariate and Categorical Data Analysis
Analyzing complex datasets with multivariate and categorical statistical methods.
Statistical Modelling using R
Publications
Dr. Masood has published research papers in reputable international journals, including Scientific Reports, Communications in Statistics—Theory and Methods, Journal of Statistical Theory and Applications, Complexity, Molecules, Saudi Journal of Biological Sciences, and other peer-reviewed journals.
Her publications mainly focus on improved estimators, survey sampling designs, randomized response techniques, robust auxiliary measures, quality control charts, non-response, measurement error, and applied statistical modelling
Supervision
Dr. Masood has supervised numerous MPhil and PhD research theses in Statistics. Her supervised research areas include:
- Survey sampling
- Sensitive variable estimation
- Randomized response techniques
- Quality control charts
- Epidemiological modelling
- Finite population estimation
- Non-response and measurement error
- Auxiliary information-based estimation
- Machine learning applications
Her supervision reflects a strong commitment to developing young researchers and promoting advanced statistical research.
Teaching
Dr. Masood has taught undergraduate, graduate, and postgraduate courses in Statistics. Her teaching areas include:
- Advanced Machine Learning
- Computational Statistics
- Applied Sampling Techniques
- Probability and Statistics
- Statistical Inference
- Applied Data Analysis
- Population Studies
- Mathematical Statistics
- Biostatistical Analysis
- Categorical Data Analysis
- Applied Multivariate Analysis
- Statistical Quality Control
- Research Methods
She focuses on concept clarity, practical application, statistical computing, and research-oriented learning.
Consultancy Services
Dr. Masood provides academic and professional consultancy in:
- Statistical data analysis
- Survey design and sampling methodology
- Epidemiology
- Questionnaire design
- Sample size determination
- Research methodology
- Epidemiological modelling
- Public health data analysis
- Quality control and process monitoring
- R-based statistical computing
- Thesis and research guidance
Professional Recognition
Dr. Masood provides academic and professional consultancy in:
- Member of American Statistical Association
- Chartered Statistician, Royal Statistical Society, UK
- Fellow Member, Royal Statistical Society, UK
- Tenured Associate Professor of Statistics
- Recipient of research publication incentives
- Reviewer for national and international statistical journals
- External examiner for MPhil and PhD theses
- Executive Member, All Pakistan Tenure Track Association
