Data-driven decision-making underpins effective public health interventions. This book introduces biostatistics with a focus on applications in health research, including descriptive statistics, hypothesis testing, correlation, regression, and survival analysis. Statistical tools are explained with public health examples and interpretation of results using software and graphical methods. Exercises and case studies help readers apply statistical reasoning to real-world scenarios. The book supports students in mastering essential biostatistical methods for epidemiological and clinical research.
Jonas Weber is a biostatistician with a strong background in statistical modeling for public health research. He has collaborated on large-scale epidemiological studies and clinical trials, providing expertise in study design, data interpretation, and risk modeling. His academic contributions include textbooks and journal articles on survival analysis, longitudinal data methods, and Bayesian approaches. Jonas also teaches workshops on applied biostatistics for students and health researchers globally.