Alumna Melody Goodman Publishes Two Books

Dr. Melody Goodman, Associate Professor of Biostatistics at New York University’s College of Global Public Health had her first book Public Health Research Methods for Partnerships and Practice published in October by Routledge/CRC press/Taylor & Francis Group. Her second book, Biostatistics for Clinical and Public Health Research was published this week by the same publisher. Melody is an alum of the Department of Biostatistics at the Harvard T.H. Chan School of Public Health SM ’03, PhD ’06.

Public Health Research Methods for Partnerships and Practice:

Translating research into practice involves creating interventions that are relevant to improving the lives of a target population. Community engaged research has emerged as an evidence-based approach to better address the complex issues that affect the health of marginalized populations.

Written by leading community-engaged researchers across disciplines, each chapter covers a different topic with comprehensive guides for start-to-finish planning and execution. The book provides a training curriculum that supports a common vision among stakeholders as well as a survey of methods based on core MPH curriculum. Practical appendices and homework samples can be found online.

Public Health Research Methods for Partnerships and Practice will appeal to researchers and practitioners in community or government sectors interested in conducting community-engaged work. It includes learning objectives, training materials, hand-outs, group/individual exercises, activity guides, homework/field work assignments, evaluation materials.

 

Biostatistics for Clinical and Public Health Research:

This introductory workbook provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results.

Focusing on the implementation of descriptive and inferential statistics without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician.

This book will be an invaluable tool for students and clinical and public health practitioners.