Dr Chi Lynch-Sutherland who will present her exit seminar entitled ‘Repeating the past: do cancers use early developmental repeat elements to drive malignancy?’.

Please see attached for more information.

211105 Chi

The University of Otago Division of Health Sciences Early and Mid-Career Researcher (EMCR) management committee is holding a one-day conference on 11 November 2021.

The theme of the conference is collaboration, where we will invite EMCRs within the Division to present where you see your research going, and what collaboration you might be seeking.

Professor David Murdoch (Vice-Chancellor Designate, University of Otago), Professor Gary Evans (MBIE Chief Science Advisor) and Dr Sarah Diermeier (founder of Amaroq) are confirmed keynote speakers. They will present on strengthening collaborations between academic institutions and government agencies and creating a start-up company from your research.

The EMCR management committee warmly invites you to attend the Conference.

We look forward to seeing you soon!

athology Department Seminar Series for 2022 begins this Friday 4^th February. Our speaker will be Prof. Greg Anderson from the Centre for Neuroendocrinology & Department of Anatomy (University of Otago) who will present a seminar entitled “A neuronal circuit for stress-induced infertility”.

Anderson_poster

The seminar will be held at the usual time of 1pm in the D’Ath Lecture theatre and accessible over zoom due to the Red Light settings (please contact the organiser for the link). For those attending in person, there will be refreshments provided at 12.45pm (~15min before the seminar). Details of which will be provided closer to the time.

Our Pathology Department Seminar Series for 2022 continues as a Research Forum this Friday 11^th February. The Forum will be hosted by Dr. Karen Reader- Operations Manager, Otago Micro and Nanoscale Imaging (OMNI). Karen will be presenting on “Tools for your Research–An introduction to the Flow Cytometry, Histology, Confocal and Electron Microscope units”. 

Karen_Reader_Forumposter

 The forum will be held at the usual seminar time of 1 pm in the D’Ath Lecture theatre and accessible over zoom due to the Red Light settings, contact organisers for link.

For those attending in person, there will be refreshments provided at 12.45pm (~15 min before the seminar). Food will kept for collection in the foyer near the back entrance of the D’Ath lecture theatre. We have a capacity for 50 people in the D’Ath.

This two-day course is a fun introduction to the appropriate application and interpretation of biostatistical concepts for people working in clinical research with no formal statistical training. The focus will not be on carrying out analyses, but rather on understanding the appropriate use of statistical methods, the implications when underlying assumptions are not met, and how to interpret statistical results. Course material will be presented through examples, and all statistical analyses will be performed by the course instructors. There are no software requirements.

This is a hands-on workshop, based in a computer lab, aimed at researchers and research students who need to use statistical software for their research. The Biostatistics Centre recommends Stata as an ideal software package for many health sciences researchers. It is reliable, easy to use, has a wide range of commonly used statistical analysis options and produces publication-quality graphics.
This is an introductory level course, no previous experience with the software is necessary. The workshop focuses on the use of software for simple statistical analyses.
Please note, the University of Otago now offers Stata SE FREE to all staff and students.

This 2-day course provides an introduction to regression modelling approaches. The scope of the course runs from basic principles of regression methods, deciphering the output of statistical analyses, and the practicalities of running these various regression methods.
As part of this course you will be encouraged to think about broader study design issues, including how to deal with confounding, interactions and variable selection.

This is an intermediate-level statistics course intended for researchers/research students who need to use regression modelling in their work. Participants should either have completed the Introductory Biostatistics for Health Researchers Course or have equivalent knowledge.

Please note, participants must come with their own laptop with R or SAS or Stata software installed, and be able to import data sets, generate new variables and be confident using the software they have installed. The University of Otago now offers Stata SE to all staff and students.

Prof. Alex McLellan from the Department of Microbiology and Immunology (University of Otago) will present a seminar entitled “Genetically engineered lymphocytes for the treatment of solid cancers”  at our Pathology Department Seminar Series on Friday 18^th February 2022. The seminar will be held at the usual time of 1pm in the D’Ath Lecture theatre and accessible over zoom due to the Red Light settings.

Please contact the organisers for Zoom details.

For those attending in person, there will be refreshments provided at 12.45pm (~15 min before the seminar). Small packed lunches will be available- some sandwiches, choice of chips, popcorn, oaty bars and choice of packed beverages. Food will be kept for collection in the foyer near the back entrance of the D’Ath lecture theatre 😊 . We have a capacity for 50 people in the D’Ath.

Longitudinal studies are common in health-related areas. These studies require appropriate statistical analyses that account for the correlated nature of the data. This two-day course provides an introduction to a range of common approaches for modelling longitudinal and correlated data. Topics covered include descriptive analysis of longitudinal data, linear mixed models, and generalised estimating equations (GEE) for modelling longitudinal data. This course has a strong application focus. You will be learning how to implement these methods using Stata software and interpreting longitudinal results.

This course is designed for quantitative researchers/students who need to have a better understanding of longitudinal models in their work. Participants should have either completed the Regression Modelling course offered in the Centre or have equivalent knowledge in regression modelling for both continuous and discrete data AND have either completed the Stata course offered by the Centre or be familiar with using Stata.

Please note, participants must come with their own laptop with Stata software installed, and be able to import data sets, generate new variables and be able to carry out regression analyses using Stata software.

The University of Otago now offers Stata SE to all staff and students.