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MPhil Population Health Sciences. Principles of Epidemiology. Module Aims:. This core module covers principles of both descriptive and analytical epidemiology. ... Students will learn how to describe the distribution and determinants of health-related

Understand the foundations of statistical and machine learning approaches used to draw inferences from health data. ... Core modules: Students following the Health Data Science theme must follow the Statistics for HDS core module.

MPhil Population Health Sciences. Student-Selected Modules List. Here is a full list of all student-selected modules from all six specialisation themes.

policies, and how framing of public health issues importantly affects public and political acceptability. ... and in writing/lin/olnpstrongu00a0/strong/pnpstrongPre-requisites/strong:/pnpemPrinciples of Epidemiology/em, emPrinciples of Public Health/em,

Practical sessions using electronic health data will capture exercises in primary care, health economics and social care and will be used to apply the knowledge obtained by lectures onto example ... Understand key methodological issues relevant to these

Understand sampling variation in the context of population health studies. Use R to manipulate data and to apply and interpret the output of commonly used statistical procedures. ... Select, apply and interpret common regression models for the

Changing Behaviour, Health Economics, Policy & Public Health etc). This will provide those students who do not take relevant student selected modules with some knowledge of those topics, whilst acting as ‘tasters’ ... Describe the influence that

MPhil Population Health Sciences. Causal Inference. Causal inference in practice. Module Aims: This module aims to give students an appreciation of the principles of causal inference, understand why this matters, and

MPhil Population Health Sciences. Statistics for Health Data Science. Module Aims:. ... Students following the Health Data Science theme are required to take this core module instead of Principles of Biostatistics.

1. Describe key examples of inequalities in health. 2. Select appropriate measures of social determinants of health. ... 3. Recall and discuss the implications of social determinants of health for understanding public health problems and their solutions.

Pre-requisites:. Principles of Epidemiology, Principles of Public Health, Research Skills. Teaching Strategy:. ... Pre-specified problems will include topics of relevance to both public health and primary care that can be approached from a UK or

MPhil Population Health Sciences. Genetic epidemiology. Genetic Epidemiology. Module Aims: This module aims to provide an introduction to genetic epidemiology, to increase students’ awareness of the field and to give them

The main emphasis will be to develop an understanding of how genomics, in both hospital and community settings, significantly contributes to our knowledge of infectious disease biology for public health investigations ... one health genomics.

Discuss the strengths and weaknesses of the application of a One-Health approach to zoonotic infections. ... Pre-requisites: Principles of Epidemiology, Principles of Biostatistics (or Statistics for HDS), Principles of Public Health.

MPhil Population Health Sciences. Applied Genomics. Applied Genomics. Module Aims:. This module aims to provide the understanding, specialist knowledge and practical skills required to analyse large genomic datasets to answer questions ... about the

MPhil Population Health Sciences. Non-communicable diseases. Non-communicable diseases epidemiology. Module Aims:. ... challenges faced by epidemiology and public health in studying and controlling these conditions.

Design a range of Bayesian models for health science problems, including appropriate selection of prior distributions. ... Pre-requisites: Either Statistics for Health Data Science or Advanced Biostatistics for Epidemiology.

rd. sector, industry and the media) in the development of public health policy. ... Pre-requisites:. Principles of Epidemiology, Principles of Public Health, Research Skills, Health Economics.

MPhil Population Health Sciences. Causal inference. Causal inference in practice. Module Aims: This module aims to give students an appreciation of the principles of causal inference, understand why this matters, and

3. Explore examples of how population health fits within the health system building blocks. ... 7. Understand importance of health information systems and how to develop a monitoring and evaluation framework.