Joint Longitudinal And Time-to-event Models For Applications In Health Research
Funder
National Health and Medical Research Council
Funding Amount
$86,073.00
Summary
A recently developed statistical technique ("joint modelling") allows for both repeatedly measured biomarker data (for example, blood pressure measurements) and event time data (for example, time until death) to be analysed together. There are several potential benefits to using these models, but since the methods are relatively new their uptake in applied health research remains limited. This PhD will consist of several distinct but interrelated projects which explore the use of these models.
Building Resilience To Support Healthy Families And Children
Funder
National Health and Medical Research Council
Funding Amount
$419,180.00
Summary
This research investigates effects of social adversity on the health of parents and carers and their children. We will examine the effects of adversity on parents’ and carers’ physical and mental health, health behaviours and capacity to provide care for their children, and how in turn children’s health and development may be affected. We will then examine whether designing health services that are responsive to families specific needs and strengths may help to promote health and resilience.
Implementing Multiple Imputation With Sensitivity Analysis In Large-scale Longitudinal Studies
Funder
National Health and Medical Research Council
Funding Amount
$473,507.00
Summary
Missing data arise in most research studies and if not handled appropriately can mean the study results are not correct. With researchers now conducting larger and longer studies the challenges posed by missing data are increasing. In this grant we study a powerful technique for handling missing data, which in its current form often cannot be applied effectively in large studies. By developing this approach we will improve the accuracy of results from large-scale epidemiological studies.
Developing And Applying Quantitative Methods For Obtaining New Insights Into Children's Health Inequalities From Longitudinal Cohort Studies
Funder
National Health and Medical Research Council
Funding Amount
$307,946.00
Summary
Children who live in more deprived family circumstances are more likely to experience poorer health including asthma, obesity, and difficulties in language, learning and behaviour. This research uses large scale population surveys of Australian children to investigate how difficulties such as experiencing poverty may affect childrenÍs health. This research also investigates how families and communities experience barriers to receiving health services and how this affects childrenÍs health.
Practical Tools For Robust Analysis Of Large Epidemiological Studies With Incomplete Data
Funder
National Health and Medical Research Council
Funding Amount
$358,492.00
Summary
Studies of the causes and consequences of health outcomes follow large cohorts of individuals for long time periods. A major challenge in analysing data from these studies is that information is often incomplete. Participants rarely complete all waves of data collection, or provide all requested information. Statistical research has led to increased use of a statistical method (multiple imputation) that recovers information from incomplete cases. This project will develop and improve this method