Oceania Stata Conference - Thursday 5 Feb 2026

Advancing Statistical Methods and Features with Stata

Oceania Stata Conference 2026

Conference agenda

Draft - the agenda is subject to change
This year we will run two rooms, The Stata Room and The Research Room. Participants will be able to move between rooms. There will also be a special room called The Learning Room where those new to Stata can learn more about Stata and some basic tips.
The Stata Room The Research Room
Time
AEST / UTC +10		 Speaker Topic
9:00 AM Welcome
9:10 AM Nick Cox Some Graphical Tips for Stata Users
10:10 AM Pablo Gluzmann SAMREGC: Stata module to perform Sensitivity Analysis of Main Regression Coefficients
10:40 AM Aramayis Dallakyan Introduction to Explainable Machine Learning Using Stata
12:10 PM Irma Mooi-Reci XTVFREG: Stata module for estimating variance function panel regression
12:40 PM Aramayis Dallakyan Stata Developer Feedback Session
1:25 PM Andrew Gray "Can I just use n=30 in each group?": Using Stata for sample size determination in an increasingly complex world
1:25 PM Ricardo Rodolfo Retamoza Yocupicio Limitations and comparison of the DFA PP and KPSS unit root test: evidence for labour variables of Mexico
1:50 PM Yuke Li How Cooking and Eating at Home Shape Emotional Well-Being: Insights from the Food & You Survey
1:55 PM Swift Stata Stories
2:15 PM Shufan Zhao Multistate Survival Modelling of Cardiovascular Admission and Mortality in a Heart Failure Cohort in Singapore
2:25 PM Dean McKenzie Healthcare quality control and improvement using Stata
2:40 PM Luyang Xiao Young Hearts at Risk: Preliminary Insights into Detection and Personalized Management of Acute Myocardial Infarction
2:55 PM Xuelu Sun gofbinreg: Goodness-of-fit statistics in binary regression models
3:05 PM Mathew Piercy Fluid balance in postoperative patients and relationship to acute kidney injury
3:25 PM Alannah Rudkin The use of Stata putdocx for automating Data Safety Monitoring Committee reports
3:30 PM Hengni Yuan Artificial Intelligence in Suicide Prevention: Comparative Evidence from a Network Meta Analysis
3:55 PM Zixuan Cong Preliminary Findings on Advancing Women's Health in Singapore through AI Acceptance
3:55 PM Thomas Soseco Household Net Wealth Inequality in Indonesia: Evidence from a Dagum Type III Model
4:25 PM Marianna Nitti rdlasso: Regression Discontinuity with High-Dimensional Data
4:55 PM Closure

Registration

Registration details
  • Place: Live on Zoom
  • Date: Thursday 5 February 2026
  • Time: 9:00am - 5:00pm AEST
  • Cost: FREE

Check the meeting time zones at The World Clock Meeting Planner

Register here

Scientific Committee

Arul Earnest

Arul Earnest, Monash University

Professor Earnest is a senior biostatistician with the Biostatistics Unit & deputy head, Clinical Outcomes data Reporting and Research Program (CORRP) at Monash University, where he leads the analytics group for several clinical registries. His research interests include Bayesian spatio-temporal models and machine learning. He enjoys conducting workshops in Stata.

Mark Chatfield

Mark Chatfield, The University of Queensland

Mark Chatfield is a biostatistician at The University of Queensland, Australia. He collaborates with researchers in the Faculty of Health, Medicine and Behavioural Sciences and the Clinical Trials Centre. He has used Stata exclusively for over 20 years, published 5 times in The Stata Journal, and has released 8 user-written Stata commands (table1_mc and blandaltman are the most downloaded).

Rosmaiza Abdul Ghani

Rosmaiza Abdul Ghani, Universiti Teknologi MARA

Dr. Rosmaiza is an academic and researcher at Universiti Teknologi MARA (UiTM), Malaysia, where she coordinates the Postgraduate Studies Centre. A PhD graduate from the University of Waikato, New Zealand, she specializes in globalization, trade, migration, and poverty. With over a decade of expertise in Stata, she has used it as her primary tool for data analysis across multiple publications and research grants exceeding USD 96,000. An accomplished author, she has written two economics textbooks and a PhD motivation book. Honoured to serve on the Oceania Stata Conference Scientific Committee, she is committed to advancing data-driven research for socioeconomic impact.

Siew-Pang Chan

Siew-Pang Chan, National University of Singapore

As a lifelong learner, Siew-Pang Chan holds a doctoral degree in Industrial & Systems Engineering, and four master’s degrees in Decision Sciences, Medical Statistics, Financial Engineering and International Law. Currently an Assistant Director at the National University Heart Centre (Singapore), he is a key member of Cardio-Informatics under the Cardiovascular Research Institute. He has published over 250 articles in academic journals to date, and held teaching appointments in Australia, Singapore, Vietnam, and the United States. As an Adjunct Associate Professor at the Centre for Behavioural & Implementation Science Interventions, Yong Loo Lin School of Medicine, National University of Singapore, Siew-Pang focuses on bridging the implementation-evidence gap, and translating empirical research into practical impact in healthcare and policy.

Nyi Nyi Naing

Nyi Nyi Naing, Universiti Sultan Zainal Abidin

Nyi Nyi Naing works as a lecturer at faculty of medicine. He is medically trained and specialized in public health medicine then sub-specialized in Biostatistics. His core teaching includes medical statistics, research methodology and statistical software application in medical research. He utilizes STATA software in his teaching and research.