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    Statistical Modelling for Evidence-Based Public Health

    Posted By: hill0
    Statistical Modelling for Evidence-Based Public Health

    Statistical Modelling for Evidence-Based Public Health:
    Case Studies in HIV/AIDS Epidemiology and Child and Maternal Health

    English | 2025 | ISBN: 3031972805 | 564 Pages | PDF EPUB (True) | 58 MB

    This book presents a selection of statistical techniques and methods applied to analyze data arising from HIV/AIDS epidemiology, as well as child and maternal health. Evidence-based decision-making in public health interventions requires appropriate techniques applied to solve relevant statistical and epidemiological questions, which would, in turn, bring out relevant outputs for action. The different chapters assembled in this book, address various methodological challenges when analyzing HIV/AIDS, child and maternal health data. These include data issues for handling correlated outcomes and repeated measurements generated through longitudinal or follow-up processes, spatial-temporal correlation, measurement error, missingness, co-morbidity, survival analysis, detection of outlying health outcomes, and joint occurrences of outcomes. Essential approaches that enhance statistical science, are presented, when dealing with variable and model selection.