S. Lymer

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A Brief, Global History of Microsimulation Models in Health: Past Applications, Lessons Learned and Future Directions

M. Zeppel, R. Shrestha, D. Schofield, 2017 .

2001 Regional Disability Estimates for New South Wales, Australia, Using Spatial Microsimulation

A. Harding, L. Brown, S. Lymer, 2008 .

Predicting The Need For Aged Care Services At The Small Area Level: The CAREMOD Spatial Microsimulation Model

A. Harding, L. Brown, S. Lymer, 2008 .

Challenges and Solutions in Constructing a Microsimulation Model of the Use and Costs of Medical Services in Australia

A. Harding, A. Payne, S. Lymer, 2010 .

NCDMod: A Microsimulation Model Projecting Chronic Disease and Risk Factors for Australian Adults

S. Colagiuri, C. Lee, D. Schofield, 2015 .

A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program

E. Denney-Wilson, C. Russell, K. Campbell, 2019, Front. Endocrinol..

The Impact of a Health IT Changeover on Medical Imaging Department Work Processes and Turnaround Times: A mixed method study.

J. Westbrook, M. Prgomet, A. Georgiou, 2015, Applied clinical informatics.

Development of CareMod/05

A. Harding, L. Brown, S. Chin, 2006 .

Simulated economic impacts of Australian Obesity Management Algorithm implementation: microsimulation modelling to 2030

S. Colagiuri, M. Cunich, S. Lymer, 2019, Obesity Research & Clinical Practice.

Is the self‐reported private health insurance status in the National Health Survey representative of private health insurance coverage in Australia?

G. Ranmuthugala, L. Brown, Linc Thurecht, 2010, Australian and New Zealand journal of public health.

Hospital admissions in the National Health Survey and hospital separations in the National Hospital Morbidity Dataset: What is the difference?

G. Ranmuthugala, L. Brown, Linc Thurecht, 2008, Australian and New Zealand journal of public health.

Supported online cognitive behavioural therapy for bulimia nervosa: a study protocol of a randomised controlled trial

P. Hay, J. Russell, S. Touyz, 2021, Journal of eating disorders.

Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study

E. Denney-Wilson, C. Russell, K. Campbell, 2018, JMIR mHealth and uHealth.

The Population Cost‐Effectiveness of Weight Watchers with General Practitioner Referral Compared with Standard Care

S. Colagiuri, C. Lee, I. Caterson, 2018, Obesity.

Weight management for patients in general practice tailored to health literacy

S. Liaw, N. Stocks, M. Harris, 2016 .

Lessons learned from the introduction of an electronic safety net to enhance test result management in an Australian mothers’ hospital

Andrew Georgiou, Johanna I. Westbrook, Joanne L. Callen, 2014, J. Am. Medical Informatics Assoc..

Effect of a smartphone application (Perx) on medication adherence and clinical outcomes: a 12-month randomised controlled trial

I. Caterson, M. Cunich, K. Sim, 2021, BMJ Open.

Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

Catherine Georgina Russell, Elizabeth Denney-Wilson, Sharyn Lymer, 2017, JMIR mHealth and uHealth.

Impact of the Growing Healthy mHealth Program on Maternal Feeding Practices, Infant Food Preferences, and Satiety Responsiveness: Quasi-Experimental Study

E. Denney-Wilson, G. Abbott, C. Russell, 2018, JMIR mHealth and uHealth.

A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program

E. Denney-Wilson, C. Russell, K. Campbell, 2016, Journal of medical Internet research.

Preventing obesity in infants: the Growing healthy feasibility trial protocol

E. Denney-Wilson, K. Ball, D. Crawford, 2015, BMJ Open.

Obesity prevention in infants using m-Health: the Growing Healthy program

K. Campbell, R. Laws, S. Lymer, 2016 .

Developing a Dynamic Microsimulation Model of the Australian Health System: A Means to Explore Impacts of Obesity over the Next 50 Years

Laurie Brown, Sharyn Lymer, L. Brown, 2012 .

Developing a DynamicMicrosimulationModel of the Australian Health System : AMeans to Explore Impacts of Obesity over the Next 50 Years

L. Brown, S. Lymer, 2014 .

Modelling the Health System in an Ageing Australia, Using A Dynamic Microsimulation Model

L. Brown, S. Lymer, A. Duncan, 2011 .

Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

E. Denney-Wilson, C. Russell, R. Laws, 2017, JMIR mHealth and uHealth.

Enhancing the Australian National Health Survey Data for Use in a Microsimulation Model of Pharmaceutical Drug Usage and Cost

Ann Harding, Laurie Brown, Sharyn Lymer, 2008, J. Artif. Soc. Soc. Simul..

A randomised controlled trial of clinician supported vs self-help delivery of online cognitive behaviour therapy for Bulimia Nervosa

Jessica L. Hazelton, S. Madden, S. Maguire, 2023, Psychiatry Research.

Who cares? The cost of caring in Australia 2002 to 2005

A. Harding, Richard Percival, S. Lymer, 2006 .

Joint developmental trajectories of internalizing and externalizing problems from mid-childhood to late adolescence and childhood risk factors: Findings from a prospective pre-birth cohort.

S. Lymer, Sarita Bista, S. R. Skinner, 2024, Development and psychopathology.

The impacts of an mHealth intervention targeting parents on health service usage and out-of-pocket costs in the first 9 months of life: The Growing healthy app.

M. Zheng, S. Lymer, Elizabeth A Denney-Wilson, 2024, Maternal & child nutrition.