Confidence Intervals for Discrete Data in Clinical Research

This practical guide delivers essential tools for biomedical researchers working with categorical and count data, addressing one of clinical research's most persistent analytical challenges. Vivek Pradhan provides clear methodologies for constructing confidence intervals specifically for discrete outcomes, from binary endpoints to count data and proportions. The book systematically tackles the statistical complexities that often vex clinical investigators when dealing with non-continuous variables, offering researchers reliable techniques for reporting results with appropriate precision.

What sets this resource apart is its focus on real-world clinical applications rather than abstract statistical theory. Pradhan emphasizes practical implementation with worked examples that demonstrate how to calculate and interpret confidence intervals for various discrete data scenarios encountered in medical studies. Clinical researchers, biostatisticians, and graduate students in biomedical fields will find this an indispensable reference for ensuring their categorical data analyses meet rigorous statistical standards. The straightforward approach makes advanced interval estimation methods accessible to professionals who need robust solutions for their discrete data challenges.