Statistical Methods for Health Data Analytics (CHME0019)

This module will introduce the essential statistical concepts and methods relevant to health analysis, and how to apply these methods to real datasets using statistical software. You will be required to already be familiar with probability, the representation and presentation of different forms of data, sampling and confidence intervals, and confidence with mathematical concepts. The module will then introduce you to concepts such as: sampling and confidence intervals, simple linear and logistic regression, multiple regression and time-to-event analysis. You will also learn how to perform sample size calculations. You will apply what you have learnt in practical computer-based sessions using the statistical software package Stata.

At the end of the module you will be able to:

Explain the concept of sampling variability.
	Use Stata software to manipulate data.
	Apply a variety of regression techniques, including simple linear regression, simple logistic regression and multiple regression.
	Analyse simple time-to-event data.
	Select appropriate analysis methods and interpret and discuss the results.
The module is delivered through web-based distance learning in the UCL Virtual Learning Environment plus a 3-day face-to-face teaching session.

Kirkwood BR, Sterne JAC. (2003) Essential Medical Statistics. Wiley-Blackwell, 2nd ed.

Bulmer MG. (2003) Principles of Statistics. Dover Publications Inc.

Summary

This module explores theories and practice of child and family adaptation using four key perspectives: life events during development (birth, death,...

Child Mental Health and Wellbeing: Adaptations (CHLD0047)

Summary

This module explores theories and practice of child and family adaptation using four key perspectives: life events during development (birth, death, trauma and illness), clinical populations (neurodevelopmental conditions) and neurocognitive adaptation in the context of brain development. Finally, the module considers a variety of evidence-based systemic interventions to support child mental health and wellbeing through transition. The aims of this module are to: i) Explore using key theories (such as attachment, neuropsychological, systemic), the experience of adaptation, and consider this in the context of the mental health and well-being of the child and family, ii) consider adaptation with typically developing groups and compare and contrast with clinical cases, and iii) consider evidence-based interventions, particularly systemic therapies to address mental health issues related to transition and adaptation. 



Learning Objectives and Outcomes

After taking this module, you should be able to: 

Understand and apply key theories of adaptation in typical family, clinical and neurocognitive contexts
 Understand typical trajectories of adaptation and be able to contrast these with clinical populations
 Understand evidence-based interventions aimed at supporting transition and adaptation throughout a young person's development
 Evaluate the literature using a critical framework so you can generalise your knowledge outside the module and consider the evolving literature and evidence base
Who is this module for? 

This is an optional module for the MSc Child and Adolescent Mental Health. 



Teaching and Learning Methods 

Sessions will include a mixture of lectures, seminars, research paper discussions and small group work.



Assessment

This module will be assessed by a single 2,000 word written essay which will evaluate your ability to critically review the literature on specific aspects of adaptation, development and well-being in the family context.