Special journal edition on Statistical Modeling in Health Research
Marianne Huebner, CSTAT, is guest editor for IJERPH "Statistical Modelling in Health Research: Best Practices for Description, Explanation and Prediction". The validity and practical utility of observational studies in environmental research and public health depend critically on appropriate statistical methods for modeling data and accurate interpretation of results. Submissions on methodology applications of statistical modeling that have the potential to improve the practice of research and education of environmental and public health researchers are encouraged.
Exercise and Health, Health Behavior, Chronic Disease and Health Promotion, Environmental Science and Engineering, Ecology and the Environment, Public Health Statistics and Risk Assessment, Women's Health, and more.