Karen Lamb

Karen Lamb

@kelamb.bsky.social

Associate Professor and Co-Head of MISCH Biostatistics & Epidemiology Node at University of Melbourne, Australia. Passionate about #biostatistics, #consultancy, #communication and #mentoring. Love literature, theatre, gigs and horror movies.

393 followers108 following56 posts

Karen Lamb reposted

Emi Tanaka
@emitanaka.org

📢🇦🇺 Australian National University is recruiting a continuing Senior Data Scientist 👩‍💻🧑‍💻 Bring your statistical expertise and help turn data into meaningful university-wide insights 📊 📅 Apply by 23 Aug 2026 23:55 AEST #Statistics #StatsJobs jobs.anu.edu.au/jobs/senior-...

jobs.anu.edu.auSenior Data Scientist - Canberra / ACT, ACT, AustraliaClassification: ANU Senior Manager 1 (Administration)Salary package: $141,637 - $148,403 per annum plus 17% superannuationTerms: Full-time, Continuing The Position Operating under broad strategic guid...
Karen Lamb
@kelamb.bsky.social

🎉 Delighted to be one of the 2026 Eureka Finalists! Huge congratulations to all other finalists! Thanks so much to my nominators for your support @nicolewhite.bsky.social, David Price, Lizzie Korevaar, @jesskasza.bsky.social, Julie Simpson, Sabine Braat and Ximena Camacho! @mischhub.bsky.social

Australian Museum Eureka Prizes@eurekaprizes.bsky.social

Today is the day! The Australian Museum is proud to be celebrating 58 individuals and teams across Australia who are leading the way in research & innovation, leadership, science engagement and school science. #EurekaPrizes

Karen Lamb
@kelamb.bsky.social

I really enjoyed speaking about how we try to support the development of early career biostatisticians as they embark on their careers at #ICOTS12 in Brisbane. I've learned so much at this conference from the varied interesting talks! @mischhub.bsky.social

Karen Lamb
@kelamb.bsky.social

The inspirational Anurika De Silva from Methods & Implementation Support for Clinical & Health research Hub ending her #ICOTS12 presentation with a call to action for statisticians to reflect, connect, experiment and collaborate in teaching statistics. @mischhub.bsky.social #statistics #datascience

Karen Lamb
@kelamb.bsky.social

Fantastic talk from @emitanaka.org on working with LLMs in #datascience at #ICOTS12. Highlights thinking of interacting with AI as a junior analyst with the statistician/data scientist in a manager/supervisor role to review/quality control output. Always enjoy hearing Emi talk! #statistics #teaching

Karen Lamb reposted

Emi Tanaka
@emitanaka.org

@nicolewhite.bsky.social and @kelamb.bsky.social and co did a great job running this event. Superbly organised and really impressed how the two hub event run so smoothly. Thank you for organising the event! 👏👏👏

Matt Cooper@nzcoops.bsky.social

The past two days at "Essential skills for statistics leadership in consultancy and research" were two of the most energising days I've had in (without aging myself) decades of research. Thank you @nicolewhite.bsky.social for reaching out to invite me and @kelamb.bsky.social for co-organising 🙌🏼🙏🏼

Karen Lamb
@kelamb.bsky.social

📢 Statisticians in Australia from all sectors: Join us in July to share your experiences and learn from others in developing professional skills and becoming leaders. Please spread the word! Hope to see you there! @mischhub.bsky.social @nicolewhite.bsky.social @aidybarnett.bsky.social

Karen Lamb@kelamb.bsky.social

There's still time to register for our new statistical leadership event in July 2026. We have in-person hubs in both Melbourne and Brisbane, with low registration costs thanks to the @science.org.au Theo Murphy Initiative. Join us by registering by 30th June: events.humanitix.com/essential-sk...

events.humanitix.comEssential skills for statistics leadership in consultancy and researchA two-day Statistical Leadership Symposium for early and mid-career researchers across Australia
Karen Lamb
@kelamb.bsky.social

There's still time to register for our new statistical leadership event in July 2026. We have in-person hubs in both Melbourne and Brisbane, with low registration costs thanks to the @science.org.au Theo Murphy Initiative. Join us by registering by 30th June: events.humanitix.com/essential-sk...

events.humanitix.comEssential skills for statistics leadership in consultancy and researchA two-day Statistical Leadership Symposium for early and mid-career researchers across Australia
Karen Lamb@kelamb.bsky.social

We've opened registration and the abstract call for our leadership event for statisticians in Australia this July! Join us for this exciting new event! More info here: agbarnett.github.io/stats_leader... @aidybarnett.bsky.social @nicolewhite.bsky.social @mischhub.bsky.social @aushsi.bsky.social

Karen Lamb reposted

AusHSI
@aushsi.bsky.social

A reminder that travel bursary applications for 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐬𝐤𝐢𝐥𝐥𝐬 𝐟𝐨𝐫 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐢𝐧 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐜𝐲 𝐚𝐧𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 close on Friday 1 May: bit.ly/4deuiL8 #StatLeadership2026 📅 9–10 July 2026 📍 Brisbane & Melbourne 🔗 bit.ly/esslcr

Karen Lamb@kelamb.bsky.social

📢 Travel bursaries available for statisticians interested in attending our statistical leadership event in Australia in July. Applications welcome for either the Brisbane or Melbourne location. More details here: agbarnett.github.io/stats_leader... Applications close 1st May!

Karen Lamb reposted

Adrian Barnett
@aidybarnett.bsky.social

New preprint by my excellent student Lee Jones on trying to computationally reproduce papers that used linear regression and made their data available. This has been a huge effort by Lee and she has written useful recommendations for practice. www.medrxiv.org/content/10.6...

medrxiv.orgChallenges in the Computational Reproducibility of Linear Regression Analyses: An Empirical StudyBackground: Reproducibility concerns in health research have grown, as many published results fail to be independently reproduced. Achieving computational reproducibility, where others can replicate the same results using the same methods, requires transparent reporting of statistical tests, models, and software use. While data-sharing initiatives have improved accessibility, the actual usability of shared data for reproducing research findings remains underexplored. Addressing this gap is crucial for advancing open science and ensuring that shared data meaningfully support reproducibility and enable collaboration, thereby strengthening evidence-based policy and practice. Methods: A random sample of 95 PLOS ONE health research papers from 2019 reporting linear regression was assessed for data-sharing practices and computational reproducibility. Data were accessible for 43 papers. From the randomly selected sample, the first 20 papers with available data were assessed for computational reproducibility. Three regression models per paper were reanalysed. Results: Of the 95 papers, 68 reported having data available, but 25 of these lacked the data required to reproduce the linear regression models. Only eight of 20 papers we analysed were computationally reproducible. A major barrier to reproducing the analyses was the great difficulty in matching the variables described in the paper to those in the data. Papers sometimes failed to be reproduced because the methods were not adequately described, including variable adjustments and data exclusions. Conclusion: More than half (60%) of analysed studies were not computationally reproducible, raising concerns about the credibility of the reported results and highlighting the need for greater transparency and rigour in research reporting. When data are made available, authors should provide a corresponding data dictionary with variable labels that match those used in the paper. Analysis code, model specifications, and any supporting materials detailing the steps required to reproduce the results should be deposited in a publicly accessible repository or included as supplementary files. To increase the reproducibility of statistical results, we propose a Model Location and Specification Table (MLast), which tracks where and what analyses were performed. In conjunction with a data dictionary, MLast enables the mapping of analyses, greatly aiding computational reproducibility. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement There was no cost associated with this research except for attending conferences. These costs were covered by the primary authors PhD allocation from the health faculty, Queensland University of Technology, and scholarships. The Statistical Society of Australia (SSA) and the Association for Interdisciplinary Meta-research & Open Science (AIMOS) supported the primary author with travel grants to attend their respective conferences. These scholarships did not influence the results of the study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The aim of this study was to reproduce the statistical results from publications that made their data publicly available. Authors of papers published in PLOS ONE were considered to have implicitly consented through their agreement with the journals data sharing policy, which supports the validation and reproduction of results from shared data. This study received Negligible-Low Risk Ethics approval from the Queensland University of Technology Human Research Ethics Committee (Approval Number: 2000000458). I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes The data and a reproducible R Quarto file used to produce this paper, including tables, figures, and code, have been stored in a GitHub repository and can be cited using Zenodo dio. <https://github.com/Lee-V-Jones/Reproducibility> <https://doi.org/10.5281/zenodo.19448969>

Karen Lamb reposted

AusHSI
@aushsi.bsky.social

📈 𝐊𝐞𝐲𝐧𝐨𝐭𝐞 𝐒𝐩𝐞𝐚𝐤𝐞𝐫! 📈 Join us at #StatLeadership2026 to hear from Dr Emi Tanaka, an academic statistician at The Australian National University with a passion for data science and open-source software, who will share strategies for managing teams in statistical research. ➡️ Register: bit.ly/esslcr

Karen Lamb
@kelamb.bsky.social

Call for abstracts still open for our statistical leadership event. Come join us! ⬇️⬇️⬇️

Karen Lamb@kelamb.bsky.social

We've opened registration and the abstract call for our leadership event for statisticians in Australia this July! Join us for this exciting new event! More info here: agbarnett.github.io/stats_leader... @aidybarnett.bsky.social @nicolewhite.bsky.social @mischhub.bsky.social @aushsi.bsky.social

Karen Lamb
@kelamb.bsky.social

📢 Calling out to statisticians: put 9-10th July 2026 in your diary! @nicolewhite.bsky.social and I are excited to launch this symposium for statisticians along with our phenomenal team of co-organisers @mischhub.bsky.social @aushsi.bsky.social Sign up for more information at the link below 👇👇👇👇👇

AusHSI@aushsi.bsky.social

🌟 𝐍𝐞𝐰 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐟𝐨𝐫 𝐄𝐚𝐫𝐥𝐲 & 𝐌𝐢𝐝-𝐂𝐚𝐫𝐞𝐞𝐫 #𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐢𝐚𝐧𝐬! Thanks to support from the Theo Murphy Initiative Australia, we’re excited to launch a 2-day symposium - 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐬𝐤𝐢𝐥𝐥𝐬 𝐟𝐨𝐫 #𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐢𝐧 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐜𝐲 𝐚𝐧𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 ➡️ 𝐒𝐮𝐛𝐦𝐢𝐭 𝐲𝐨𝐮𝐫 𝐄𝐎𝐈 𝐭𝐨 𝐠𝐞𝐭 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐝: bit.ly/eoistatleadership2026

Karen Lamb reposted

MISCH hub
@mischhub.bsky.social

MISCH researchers have been awarded $15,000 for their project “Compliance in physiotherapy trials: rethinking design, implementation, and analysis using the estimand framework🥂 🔗https://shorturl.at/6kgl5

Karen Lamb reposted

MISCH hub
@mischhub.bsky.social

Congratulations to A/Prof @kelamb.bsky.social : Recipient of the 2025 Patricia Grimshaw Award for Mentor Excellence 🎉🥂 A huge congratulations on this well-deserved recognition. Her dedication to mentoring enriches our community and inspires us all. 🔗https://shorturl.at/eaZKD

Karen Lamb
@kelamb.bsky.social

Thoroughly enjoyed Maria Christodoulou's presentation on how to engage non-statisticians in statistics at #RSS2025. I want more classes involving zombies! #statistics #teaching

Karen Lamb
@kelamb.bsky.social

Sharing our thoughts on how to support the development of communication skills in early career statisticians at #RSS2025 in Edinburgh yesterday. Absolute pleasure to connect with statisticians at this conference. @mischhub.bsky.social #statistics #communication #mentoring

Karen Lamb
@kelamb.bsky.social

Massive congratulations to Prof Milford for your #EurekaPrizes mentoring award. Very well deserved! 🎉

Australian Museum Eureka Prizes@eurekaprizes.bsky.social

🏆 Professor Michael Milford is awarded the @utsengage.bsky.social Eureka Prize for Outstanding Mentor of Researchers. #EurekaPrizes Learn more: youtu.be/Fc_6HHRxbMk