Nutritional Epidemiology: Principles and Application to Cancer

About

The course introduces students to the key principles and methods of nutritional epidemiology, including approaches for dietary assessment, utility of biochemical indicators and metabolomics, rationale and analytic approaches for adjustment for total energy intake, correction for measurement error, and selected issues relating to data analysis and presentation. Using diet-cancer research as an example, students will learn how to apply and integrate these principles and methods to address practical questions of their interest. Some special topics in the gut microbiome and clinical translation will also be covered to demonstrate the applications of nutritional epidemiology in novel areas.

Course leader

Mingyang Song (Massachusetts General Hospital and Harvard Medical School)

Target group

Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation. They will acquire familiarity with epidemiological and biostatistical principles and techniques and with the computational tools needed to solve practical problems.

Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest, so they can more effectively address problems in health research. They will gain knowledge in modern, advanced methods useful for health professionals engaged in clinical practice, research and teaching.

Course aim

The course introduces students to the key principles and methods of nutritional epidemiology, including approaches for dietary assessment, utility of biochemical indicators and metabolomics, rationale and analytic approaches for adjustment for total energy intake, correction for measurement error, and selected issues relating to data analysis and presentation.

Fee info