Quantitative scientists ensure that studies are appropriately designed, analyzed and reported so as to accurately answer the question of interest. The Centre for Quantitative Medicine (CQM) is an academic home consisting of quantitative scientists that strives to bring biomedical research and the quantitative science communities together. This partnership will improve the quality of biomedical research carried out in Singapore.
CQM also provides a network for quantitative scientists to interact with other colleagues in their same line of work. The nature of quantitative work can sometimes create relatively isolated work environments. CQM helps overcome this isolation and gives quantitative scientists the opportunity to better connect with other like-minded individuals.
CQM sponsors a monthly Quantitative Medicine Forum with invited guest speakers. The forum is typically scheduled on the third Thursday of the month during lunch-time. Topics are usually quantitative in nature, but audiences have ranged from quantitative professionals to clinicians. After the talks, VAPs are created and uploaded onto the website (VAP Library). Please see past and future talks below (Past Events).
Weekly MS-III student meetings: selected CQM faculty team meet with third year medical students who are performing clinical and health services research projects. CQM faculty typically team up with clinician mentors to form a mentoring team for each student.
Weekly Khoo Clinical Scholar meetings: CQM faculty is matched with Khoo Clinician Scholars to support the development of their research proposal.
Duke-NUS medical students in their third year will take a course Deciphering the Medical Literature (DML) lead by CQM faculty.
Past Events: QMF Seminars
|17 Oct 2013||A Likelihood Approach to Meta-Analysis||Ms. Rehena Sultana|
|19 Sep 2013||Global Estimation of Child Mortality||Dr. Leontine Alkema|
|22 Aug 2013||A Comparison of Stated Preferences and Willingness to Pay for End of Life Treatments Between Older Adults and Late Stage Cancer Patients||Prof. Eric Finkelstein|
|18 Jul 2013||Detecting and Characterizing Genomic Signatures of Positive Selection in Global Human Populations and Infectious Disease Pathogens||Dr. Teo Yik Ying|
|20 Jun 2013||“Measuring Overfitting in Nonlinear Models: A New Method and An Application to Health Expenditures”||Dr. Marcel Bilger|
|23 May 2013||Developing Customized Reference Values: Issues in Variability Modeling||Prof. Cheung Yin Bun|
|18 Apr 2013||The Intersection Between Scientific Models, Biological Plausibility and Evidence-based Medicine: Anatomy and Dissection of A Large-Scale Medical Literature Error||Dr Matthias Maiwald|
|21 Mar 13||Modelling Strategies for Spatio-Temporal Epidemiological Data||Dr Sourav Das|
|13 Feb 13||Cancer Genomics: Finding Therapeutically Promising Subtypes of Gastric Cancer||A/Prof Steven Rozen|
Past Events: Biostatistics Forum
|20 Sep 2013||Case Studies in Bayesian Biostatistics||Prof. Kerrie Mengersen|
|18 Sep 2013||Bayesian Biostatistics: Methods, Computation and Application||Prof. Kerrie Mengersen|
|4 Jul 2013||The ASCERT Study: Comparative Effectiveness Research in the REAL WORLD||Prof. Elizabeth Ray Delong|
|3 Jul 2013||Moving Toward More Informative and Efficient Clinical Trials||Prof. Elizabeth Ray Delong|
|8 Apr 2013||New Research Directions in Computer Experiments: Clustered Designs||Dr. Selden B Crary|
Workshop for the Collaborating Biostatistician
CQM organised the inaugural “Workshop for the Collaborating Biostatistician” on 7th November 2012. This workshop was aimed at equipping CQM Associates and Affiliates with the skills and knowledge to collaborate with clinicians in an effective manner. This workshop was conducted by experienced senior faculty and attended by 17 members. Participants enjoyed the course and provided good feedback.
Software Training Workshops
CQM faculty and associates run regular software training courses. The materials for these courses are vetted by independent faculty and tested before administered to participants. The courses are usually held in a computer lab for the whole day, with participants provided with a computer and software loaded for hands-on practice. These courses are very popular, and priority is set for AMRI members.
Primary outcome: Increase competency and knowledge of researchers in use of software in analysis and sample size
Who: Clinicians and other researchers from SingHealth/Duke-NUS
Process: A series of structured 1-2 day courses on commonly used software (e.g. Stata, SAS) for analysis, and sample size calculations. Hands-on practical sessions conducted.
1 Stata, 2 SPSS courses conducted in Jan 2013
7 other courses planned in 2013
For suggestions on the topics of the software training workshops, drop us your feedback.
All quantitative scientists in Singapore are eligible to be considered for membership.
No, there are no membership fees. CQM is supported by Duke-NUS Graduate Medical School.
CQM provides a wealth of expertise in quantitative research in Singapore into one organization. CQM can help you identify quantitative collaborators as well as provide mentoring services for biostatisticians/epidemiologists.