Modern Medical Research & Development Scheme

The Institute of Applied Statistics proudly launched the Dr. Padam Singh R&D Scheme in honor of Dr. Padam Singh, former Chief Statistical Advisor, Government of India. Dr. Singh’s contributions to the discipline of statistics and research are profound, multifaceted, and enduring. His pioneering work spanned mathematical theory, medical statistics, demography, and experimental design, establishing a unified foundation for statistical analysis and inductive inference. Renowned for addressing real-world biological and medical challenges, Dr. Singh not only applied statistical methods but also developed new methodologies that have significantly shaped the field of medical research. 

Vision of the Dr. Padam Singh R&D Scheme:

The scheme has been envisioned to strengthen statistical knowledge and research capacity among medical, nursing, and paramedical professionals as well as academicians. By organizing educational training programs, workshops, and academic collaborations across the country, the scheme promotes deterministic and evidence-based thinking.

Goals of Dr. Padam Singh R&D Scheme:

📌 To deliver high-quality education in statistics and research at minimal cost.

📌 To engage renowned national experts and faculty from leading institutions.

📌 To bridge the gap between theory and practice in medical research.

📌 To ensure the widespread dissemination of statistical knowledge across diverse healthcare and academic organizations in India and abroad.

Certificate Programmes & Workshops:

Under the Dr. Padam Singh R&D Scheme, a wide range of online and offline training programmes are offered for Medical, Paramedical, and Nursing professionals, including:

📌 Introductory course of Research Methodology & Biostatistics

📌 Advance Course of Research Methodology & Biostatistics

📌 Workshop on Research Protocol Writing

📌 Workshop on Effective Medical Thesis Writing

📌 Workshop on Making an Effective Research Paper

📌 Workshop on Research Grant Writing

📌 Workshop on Statistical Computing Using Excel

📌 Workshop on Introductory Statistics on SPSS

📌 Introductory Course on Statistical Computing using R

📌 Advance course on computation of Sample size Estimation

📌 Introductory Course on Qualitative Analysis

📌 Workshop on Systematic Review and Meta-Analysis

📌 Introductory Course on Clinical trial and CDM

📌 Introductory Course on Artificial Intelligence and Machine Learning

📌 Introductory Course on Python

📌 Introductory Course on Bioinformatics

📌 Introductory Course on Statistical Genetics

📌 Advance course on computational epidemiology using Epi-Info

📌 Short term course on Diagnostic tools and Accuracy Assessment