EDUCATION
RESEARCH
Centre for Quantitative Medicine (CQM) is an academic home made up of quantitative scientists in the medical field. It serves as a point of contact for biomedical researchers from Duke-NUS partners requiring quantitative expertise. CQM falls under the purview of Duke-NUS Office of Clinical Sciences.
Particularly, CQM seeks to accomplish the following five aims:
Academic, industry and government organizations all recognize the value of quantitative expertise. Quantitative scientists ensure that studies are appropriately designed, analyzed and reported so as to accurately answer the question of interest. CQM strives to bring biomedical research and quantitative science communities together. This partnership will improve the quality of biomedical research carried out in Singapore.
CQM was also formed to provide 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.
Library of over 2,400 educational videos covering everything from arithmetic to physics, finance, and history and 125 practice exercises.
http://www.khanacademy.org/
A fundamentally new way to get knowledge and answers—not by searching the web, but by doing dynamic computations based on a vast collection of built-in data, algorithms, and methods.
http://www.wolframalpha.com/
Stata is a general purpose software that is increasingly gaining popularity among medical researchers in Singapore. Here's a list of suggested sites you could purchase the software:
http://www.stata.com/order/
http://www.survey-design.com.au/prices.html
If you are already using Stata, here are some useful resources:
1) Step-by-step guide to executing some of the commands in Stata from UCLA
http://www.ats.ucla.edu/stat/stata/dae/
2) Help from fellows users of Stata in the Statalist
http://www.stata.com/statalist/archive/
3) Course on Stata in Singapore look for Miss Siyagami at 63578395
http://www.ttsh.com.sg/clinical-research-unit/
PS Power and Sample Size Software
This is a free software that can be used to perform sample size / power for commonly used statistical procedures such as the independent student t-test, chi-square test, etc.
You can download software here: http://biostat.mc.vanderbilt.edu/wiki/Main/PowerSampleSize
R is a free, powerful and flexible statistics software which is freely available at: http://cran.r-project.org/bin/windows/base/
R reference card link: http://www.math.montana.edu/stat/tutorials/Rrefcard.pdf
Online calculators for scientists
http://www.graphpad.com/quickcalcs/
WinBUGS is free software which is very useful for fitting Bayesian models.
http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml
This is a link to put you in touch with SAS user groups around the globe. These user groups provide opportunities to learn from other users and share experiences. User groups in the Asia/Pacific region are in Singapore, Australia and New Zealand. There are multiple personal and professional benefits to be derived from user group participation: (1) increased efficiency and productivity as a result of exposure to new coding and analysis techniques and applications, (2) opportunities to network and grow professionally, (3) leadership opportunities, (4) enhanced understanding of SAS software, and (5) share ideas with other SAS software professionals and get help in solving problems or addressing data analysis issues.
http://support.sas.com/usergroups/
It’s another site that offers free access to SAS for researchers, teachers and students.
http://www.sas.com/govedu/edu/programs/od_academics.html
Biometrika
http://biomet.oxfordjournals.org/
Biostatistics
http://biostatistics.oxfordjournals.org/
Statistical Methods in Medical Research
http://smm.sagepub.com/
Clinical Trials Journal
http://ctj.sagepub.com/
Singapore Census 2010
http://www.singstat.gov.sg/pubn/census.html#c2000adr
National Health Survey 2004
http://www.moh.gov.sg/mohcorp/publicationsreports.aspx?id=2984
Note: the list provided above is not exhaustive, and represent some of the commonly used resources by the faculty in the department
* Statistical related VAPs are located in ‘3rd Yr Biostat’ Tab
http://teamlead.duke-nus.edu.sg/preview/
* Statistical related lectures are located in 'Clin Sci Lectures' Tab
http://teamlead.duke-nus.edu.sg/preview/
Alice Lee Centre
National Cancer Centre Singapore
National Dental Centre Singapore
National Heart Centre Singapore
John Hopkins International Medical Heart Centre
Singapore Eye Research Institute
Singapore Clinical Research Institute
National Neuroscience Institute
Sydney Medical School, Australia
Tan Tock Seng Hospital
Singapore General Hospital
KK Women's and Children's Hospital.
Institute of Mental Health
Health Promotion Board
Ministry of Community Development, Youth and Sports
| Date | Topic | Speaker |
| 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 Abstract: Surrogate markers can help identify patients who will have an early clinical benefit from a treatment, and herein are important not only for patients’ survival and quality of life but also for the cost of health care. In this presentation, quantities used for the surrogacy evaluation will be reviewed, methods to deal with the measurement error in the surrogacy evaluation will be introduced |
Dr Wen Li |
| 18 Jan 12 | Handling Missing Data in Medical Questionnaires Abstract: Various standard methods to deal with missing data in medical questionnaires are discussed. Recently developed approach to handle missing data based on tensor decomposition are outlined as well. |
Dr Justin Dauwels |
| 16 Nov 11 | Analysis of Medication Safety in a Longitudinal Observational Study Abstract: The US Food and Drug Administration (FDA) issued separate warnings for suicidality with antidepressants and antiepileptic drugs in the past five years. Here are two methods for examining the association of these agents with suicide attempts and suicide deaths are described using more broadly generalizable data than examined by the FDA. An observational study of mood disorders was examined that includes three decades of prospective assessments. |
Prof Andrew Leon |
| 19 Oct 11 | Self-Reported Health and Other Subjective Measures in Health Services Research Abstract: The Issue of Reporting Heterogeneity. Abstract: Although measures of self-reported health, well-being and satisfaction are widely used in health services research and other related fields, a perennial concern is that different people may have different reporting habits. Relevant examples will be used to illustrate the issue of reporting heterogeneity. The methodological focus will be on the vignettes approach and hierarchical ordered probit model, as well as longitudinal data analysis. |
Dr Young Kyung Do |
| 21 Sept 11 | Qualitative Approaches in Clinical and Health Services Research: When? How? Abstract: Qualitative methods can be stand-alone or used to explain, support, or design quantitative studies. Qualitative strategies in clinical and health services research are introduced. Several types of questions which are amenable to the qualitative studies will be illustrated with several examples. The audience will participate in designing a qualitative study and assessing the quality of a few published examples. |
Prof Desiree Lie |
| 17 Aug 11 | Rasch Model Analysis For The Medical Researcher Abstract: Rasch model is mainly used in the field of psychometrics, and is particularly useful in analyzing scales. This talk introduces the Rasch model in non-technical terms and discusses the freeware Bigsteps. Using a few examples, the audience will see some of the properties of this program. |
Dr Leong Khai Pang |
| 20 Jul 11 | Two-stage Spatial Shrinkage Diffusion Tensor Estimation on DWI Data Abstract: Introduction of two-stage Spatial Shrinkage Estimation (SpSkE) procedure, which incorporates the locally weighted least squares function and the $L_1$-type penalization, under the framework of the heteroscedastic linear model, to yield spatially smoothed DT estimates and their bias reduced eigenvalues over the 3D imaging space. The effectiveness of SpSkE is further illustrated by simulation and real data examples. |
Dr Yu Tao |
| 15 Jun 11 | Clinical Diagnosis and Prognostication Abstract: Choosing or developing a diagnostic or prognostic test or tests is a common problem in medicine. Issues and examples in clinical diagnosis and prognostication are explored. Several examples from clinical practice and techniques were discussed. |
Dr Benjamin Haaland |
| 18 May 11 | Bayesian spatio-temporal modeling Abstract: Spatial epidemiology is the description and analysis of geographically indexed health data with respect to demographic, environmental, behavioral, socioeconomic, genetic, and infectious risk factors. Common familiar regression models are not sufficient to analyse such data, as they do not account for the inherent spatial correlation in the outcomes and exposure variables. This talk highlighted one Bayesian model, the Conditional Autoregressive (CAR) model, with practical applications to data from Singapore and Australia. |
A/Prof Arul Earnest |
| 20 Apr 11 | A crash course In Bayesian statistics: what medical researchers need to know Abstract: Bayesian analyses are being used more and more in medical research, a crash course in Bayesianism to acquaint you with some of the uses, benefits, and challenges of Bayesian statistics, so that you will be armed to interpret research reports containing them. |
Dr Alex R Cook |
| 04 Mar 11 | Overstating the Evidence – Double Counting In Meta-Analysis and Related Problems Abstract: Various problems in overstating the precision of results from meta-analyses are described and illustrated with examples, including papers from leading medical journals. These problems include, but are not limited to, simple double counting of the same studies, double counting of some aspects of the studies, inappropriate imputation of results, and assigning spurious precision to individual studies |
Prof Stephen Senn |
| 19 Jan 11 | Bioequivalence Testing and Drug Interchangeability Abstract: An overview of statistical considerations including study design, criteria, and statistical methods for assessment of bioequivalence was provided. In addition to average bioequivalence, the concept of population bioequivalence and individual bioequivalence for addressing drug interchangeability (in terms of drug prescribability and drug switchability) as well as recent development and future research topics was discussed. |
Prof Chow Shien-Chung |
| 10 Nov 10 | Advanced Use of Graphics In Clinical Research Abstract: Good use of graphics can also facilitate and complement statistical analysis. Case studies are given on how the use of graphics has helped to succinctly summarise research findings and solve difficult research problems, as well as discuss statistical techniques that go hand in hand with graphics. |
Prof Cheung Yin Bun |
| 13 Oct 10 | False Discover Rate and the q-value Abstract: Understanding the False Discovery Rate (FDR) and the associated q-value. The FDR was introduced with examples provided to compare and contrast the conventional approaches to the FDR. |
Dr John Allen |
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.
Director: A/Prof Arul Earnest
Email: arul.earnest@duke-nus.edu.sg
Office: 6601 1671
Senior Manager: Ms Jennifer Harmon
Email: jennifer.harmon@duke-nus.edu.sg
Office: 6516 8144
Executive: Ms Megan Pooh
Email: megan.pooh@duke-nus.edu.sg
Office: 6601 1719
Copyright © Duke-NUS 2012- All rights reserved.
