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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.

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

Governance/a/pnpa href="https://www.phs.masters.cam.ac.uk/course-content/specialisation-themes/primary-care-research/health-economics/"Health Economics/a/pnpa ... uk/course-content/specialisation-themes/global-health/health-systems-for-all/"Health

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

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

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.

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.

but I had little experience interpreting health research or writing about data analysis in a clear, reproducible way. ... For this reason, after graduating from Harvard with a degree in Economics, she pursued an MPhil in Public Health at the University

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.

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.

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.

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

The module is explicitly informed by the planetary health education framework (Guzman et al 2021). ... Describe how planetary health issues are related to social justice and wider social issues.

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. 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

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.

with health, the factors which may determine their variation, public health impact and policy. ... Pre-requisites:. Principles of Epidemiology, Principles of Biostatistics, and Principles of Public Health.

MPhil Population Health Sciences. Infectious disease modelling. Infectious Disease Modelling. Module Aims:.

Demonstrate awareness of the practicalities of doing applied health research, particularly within primary care settings. ... Describe the range of research designs used in applied health research, and be able to provide a justification for using a

MPhil Population Health Sciences. Geostatistical modelling. Geostatistical models for public health applications.

Module Aims:. This introductory module aims to familiarise students with qualitative and mixed methods research approaches used in population health science research. ... Outline the major qualitative and mixed methods approaches used in population

MPhil Population Health Sciences. Applied machine learning. Applied Machine Learning in Bioinformatics. ... Module Aims: This module aims to link the fundamental concepts presented in “Introduction to Machine Learning” to practical examples

The module will cover aspects of nutritional epidemiology including dietary assessment, associations of diet and nutrition with health, public health impact and policy. ... Identify and explain challenges in nutritional epidemiology and how they impact

Describe, implement, and interpret a range of statistical methods in the context of population health studies. ... Familiarity with the R statistical software. Familiarity with the types of research questions of interest in population health science.

MPhil Population Health Sciences. Surveys: design, delivery, and analysis. Designing, delivering and analysing surveys. ... Assessment:. Critically appraise a selected survey / questionnaire used in population health sciences, considering strengths,

MPhil Population Health Sciences. Introduction to machine learning. Introduction to Machine Learning.

Site Search. Advanced biostatistics for health data science. ... MPhil Population Health Sciences. Advanced biostatistics for health data science. Advanced Biostatistics for HDS.

Students also consider the commercial determinants of health, exploring how multinational corporations’ activities have impacted on health past and present. ... Provide an analytical account of the concept of globalization and its relevance to health

MPhil Population Health Sciences. Using routinely collected electronic health record data for health research. ... Practical sessions using electronic health data will capture exercises in primary care, health economics and social care and will be used

MPhil Population Health Sciences. Theories of leadership and change for public health practice. ... This module is compulsory for those in the EoE Public Health Training scheme as part of preparation for the FPH Diplomate exam.

For this reason, after graduating from Harvard with a degree in Economics, she pursued an MPhil in Public Health at the University of Cambridge (2019 u2013 2020) to strengthen epidemiological research ... has been an integral part of my academic

2 Aug 2022: Globalisation and global health governance. Health Economics. Plus one of:. Planetary and human health Health systems for all. ... Health economics. Policy and public health. Theories of leadership and change for public health practice.

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15 Aug 2023: April 18th. April 19th. Health Economics 1 Research in Primary Care assessment submission. ... Health Economics 2. Leadership and change for Public Health 1 Microbial Genomics 9.