Centre for Quantitative Medicine (CQM)

Program Aims/Objectives

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.

Program Contents and Elements

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.

Member Profiles
Past Events
FAQ
Brochure

Date	Topic	Speaker
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	Liver Cancer: A systematic Review of Liver Transplant Outcomes Across The World	Dr Fahad Siddiqui
28 Jun 12	Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m-out-of-n Bootstrap Scheme	Dr Bibhas Chakraborty
17 May 12	Why It's Not All In Your Head: Screening For Panic Disorder In Emergency Medicine Patients	Dr Sharon Sung
19 Apr 12	Estimating Intervention Effect using Recurrent Events	Dr Tina Xu
29 Mar 12	On Evidence, Belief and Decision	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

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.

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FAQs

Who can apply for CQM membership?

All quantitative scientists in Singapore are eligible to be considered for membership.

Do we have to pay any membership fees?

No, there are no membership fees. CQM is supported by Duke-NUS Graduate Medical School.

How will CQM help me in my research?

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.

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