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.
|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|
|24 Jan 13||Statistical Considerations in Designing Pediatric PK Studies||Prof Joga Gobburu|
|3 Jan 13||Real-World Applications of GIS and Quantitative Epidemiology in Resuscitation Research
||Dr Comilla Sasson|
|6 Dec 12||Detection of Research Misconduct Using Statistical Methods||Prof Stephen Evans|
|22 Nov 12||Choosing a Patient-Reported Outcome Measure||Dr Dianne Bautista|
|18 Oct 12||A Robust Optimization Model for Managing Elective Admission in Hospital||Dr Meng Fanwen|
|26 Sep 12||Inverse Regression Estimation for Censored Data||Dr Nivedita Nadkarni|
|29 Aug 12||Dr Fahad Siddiqui|
|28 Jun 12||Dr Bibhas Chakraborty|
|17 May 12||Dr Sharon Sung|
|19 Apr 12||Dr Tina Xu|
|29 Mar 12||A/Prof Edwin Chan and Dr Pryseley Assam|
|15 Feb 12||Adjustment for Measurement Errors in Evaluating a Surrogate Marker
||Dr Wen Li|
|18 Jan 12|| Handling Missing Data in Medical Questionnaires
||Dr Justin Dauwels|
|16 Nov 11||Analysis of Medication Safety in a Longitudinal Observational Study
|Prof Andrew Leon|
|19 Oct 11||Self-Reported Health and Other Subjective Measures in Health Services Research
||Dr Young Kyung Do|
|21 Sept 11||Qualitative Approaches in Clinical and Health Services Research: When? How?
||Prof Desiree Lie|
|17 Aug 11||Rasch Model Analysis For The Medical Researcher
||Dr Leong Khai Pang|
|20 Jul 11||Two-stage Spatial Shrinkage Diffusion Tensor Estimation on DWI Data
||Dr Yu Tao|
|15 Jun 11||Clinical Diagnosis and Prognostication
||Dr Benjamin Haaland|
|18 May 11||Bayesian spatio-temporal modeling
||A/Prof Arul Earnest|
|20 Apr 11||A crash course In Bayesian statistics: what medical researchers need to know
||Dr Alex R Cook|
|04 Mar 11||Overstating the Evidence – Double Counting In Meta-Analysis and Related Problems
||Prof Stephen Senn|
|19 Jan 11||Bioequivalence Testing and Drug Interchangeability
||Prof Chow Shien-Chung|
|10 Nov 10||Advanced Use of Graphics In Clinical Research
||Prof Cheung Yin Bun|
|13 Oct 10||False Discover Rate and the q-value
||Dr John Allen|
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.
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.