Introduction to causal diagrams for confounder selection

EJ Williamson, Z Aitken, J Lawrie, SC Dharmage… - …, 2014 - Wiley Online Library
In respiratory health research, interest often lies in estimating the effect of an exposure on a
health outcome. If randomization of the exposure of interest is not possible, estimating its …

Use of routinely collected electronic healthcare data for postlicensure vaccine safety signal detection: a systematic review

YM Mesfin, A Cheng, J Lawrie, J Buttery - BMJ global health, 2019 - gh.bmj.com
Background Concerns regarding adverse events following vaccination (AEFIs) are a key
challenge for public confidence in vaccination. Robust postlicensure vaccine safety …

The effect of the ketogenic diet on the developing skeleton

PJ Simm, J Bicknell-Royle, J Lawrie, J Nation, K Draffin… - Epilepsy research, 2017 - Elsevier
The ketogenic diet (KD) is a medically supervised, high fat, low carbohydrate and restricted
protein diet which has been used successfully in patients with refractory epilepsy. Only one …

Optimal stepped wedge designs

J Lawrie, JB Carlin, AB Forbes - Statistics & Probability Letters, 2015 - Elsevier
Optimal stepped wedge designs - ScienceDirect Skip to main contentSkip to article Elsevier
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[HTML][HTML] Early signal detection of adverse events following influenza vaccination using proportional reporting ratio, Victoria, Australia

HJ Clothier, J Lawrie, MA Russell, H Kelly, JP Buttery - Plos one, 2019 - journals.plos.org
Introduction Timely adverse event following immunisation (AEFI) signal event detection is
essential to minimise further vaccinees receiving unsafe vaccines. We explored the …

[HTML][HTML] Excess mortality among people with communicable diseases over a 30-year period, Victoria, Australia: a whole of population cohort study

SL Rowe, K Leder, L Sundaresan… - The Lancet Regional …, 2023 - thelancet.com
Background Understanding mortality burden associated with communicable diseases is key
to informing resource allocation, disease prevention and control efforts, and evaluating …

SAEFVIC: Surveillance of adverse events following immunisation (AEFI) in Victoria, Australia, 2018

HJ Clothier, J Lawrie, G Lewis… - Communicable …, 2020 - research.monash.edu
Background: SAEFVIC is the Victorian surveillance system for adverse events following
immunisation (AEFI). It enhances passive surveillance by also providing clinical support and …

Reducing model complexity via output sensitivity

J Lawrie, J Hearne - Ecological Modelling, 2007 - Elsevier
Ecosystem models help us understand the mechanisms that influence ecosystem health
indicators. However, if they are too complex, these mechanisms can be difficult to identify …

Use of telephone helpline data for syndromic surveillance of adverse events following immunization in Australia: A retrospective study, 2009 to 2017

YM Mesfin, AC Cheng, J Enticott, J Lawrie, JP Buttery - Vaccine, 2020 - Elsevier
Background The increasing availability of electronic healthcare data offers an opportunity to
enhance adverse events following immunisation (AEFI) signal monitoring in near real-time …

A method for aggregating state variables in large ecosystem models

J Lawrie, J Hearne - Mathematics and Computers in Simulation, 2008 - Elsevier
Simplifying large ecosystem models is essential if we are to understand the underlying
causes of observed behaviours. However, such understanding is often employed to achieve …