stats

Statistical Analysis

An essential component of any respectable research study is statistical analysis. A great value-added service that the MDCU Research Affairs offers to all our investigators is our Statistical Analysis Consultants. Maximize your research potential with the help of our in-house statisticians. Available daily and upon appointment only, our statistical team is ready to bring your statistical analysis to the next level.

1.  Prof. Stephen Kerr, Ph.D.

  • Provides consultation in English
  • Remark: provides consultation for Faculty only
  • Consulting Hours:  Tuesday & Wednesday from 8:00 am – 5:00 pm, and Friday from 8:00 am – 4:00 pm
  • Venue:  Research Affairs Office, Anandamahidol Building 3rd Floor
  • Expertise:  Randomized Controlled Trials, Observational Studies, Pharmacokinetics, Diagnostic test studies, Survival analysis, Longitudinal data analysis, Quasi-experimental designs, Latent class analysis and growth-based trajectory modelling
  • Software:  Stata, SAS

2.  Assoc. Prof. Jaranit Kaewkungwal, Ph.D.

  • Consulting Hours:  Monday, from 1:00 – 5:00 pm
  • Venue:  Research Affairs Office, Anandamahidol Building 3rd Floor
  • Expertise:  Epidemiology, Research designs and methodology, Inferential statistics, and Longitudinal/cluster data analysis
  • Software:  Stata, SPSS

3.  Yuda Chongpison, Ph.D., M.S. (Pharmaceutical Sciences), MBA

  • Provides consultations in English
  • Consulting Hours:  Tuesday from 9:00 am – 5:00 pm and Wednesday from 1:00 – 5:00 pm
  • Venue:  Research Affairs Office, Anandamahidol Building 3rd Floor
  • Expertise:  Epidemiology, Research designs and methodology, Observational studies, Diagnostic test studies, Validity and reliability studies
  • Software:  Stata, R-program

4.  Wasan Punyasang, M.S. (Statistics)

  • Provides consultation in Thai
  • Consulting Hours:  Monday to Friday from 10:00 am – 5:00 pm
  • Venue:  Research Affairs Office, Anandamahidol Building 3rd Floor
  • Expertise:  Critical appraisal, Research design and methodology, Sample size calculation (Descriptive, Analytic, RCT, Observational), Statistical Analysis (Descriptive, Inferential statistics, Advance Statistics – Complex ANOVA, Multivariate Analysis, Survival Analysis, GEE, Mixed Model), and Ethics in Human research
  • Software:  SAS, SPSS, NCSS, STATA, R-program, NQuery, PASS, PS, G*power, N4Study, MS Access, DBase

5.  Atthanee Jeeyapant

  • Provides consultation in Thai
  • Consulting Hours:  Saturday, from 9:00 am – 5:00 pm
  • Venue:  Research Affairs Office, Anandamahidol Building 3rd Floor
  • Expertise:  Clinical research designs and methodology, Sample size calculation and randomization, Descriptive and Inferential statistics, and Statistics for diagnostic studies
  • Software:  Stata, SPSS

6.  Phanupong Phutrakool, Ph.D.

  • Provides consultation in Thai
  • Consulting Hours:  Tuesday, from 9:00 am – 12:00 pm
  • Venue:  Aor Por Ror Building, 7th Floor (DMC side)
  • Expertise:  Data collection system (REDCap system), clinical data management, research designs and methodology, and medical statistics
  • Software:  REDCap system, Stata, SPSS

Our unit provides consulting in both clinical epidemiology and biostatistics. Please, consult with us as early in your project as possible.  Well-designed studies provide strong clinical evidence. Poorly designed studies, even with advanced statistics, do not.

Who can come to see us:

Faculty members, residents/fellows, Master’s or PhD students, and medical students of Faculty of Medicine, Chulalongkorn University (MDCU) or King Chulalongkorn Memorial Hospital (KCMH) only.  Anyone who collaborates with MDCU/KCMH personnel may be able to consult if the collaborating MDCU/KCMH member also attends the session.

If you would like to consult us, but do not feel you qualify using the above criteria, you can send an official request addressed to the Associate Dean of Research Affairs stating your interest and rationale.  Such applications will be considered on a case-by-case basis.

Appointment is only accepted by online booking via http://rsapp.md.chula.ac.th/

Anyone interested in consulting, you can make an appointment for only one hour per topic per week.

In the event that you would like to cancel your confirmed appointment:

  • If you cancel at least 2 working days prior to your confirmed appointment from RS Application (i.e. your appointment is Monday, you have to cancel by Thursday of the previous week), your account will not be banned.
  • If you cancel less than 2 working days prior to your confirmed appointment from RS Application, your account will be banned from booking an appointment for 1 week from the appointment date.
  • If you do not cancel before the appointment date, your account will be banned from booking an appointment for 4 weeks from the appointment date.

For more information, please, contact Tel. 0-2256-4455, 0-2256-4466 extension 21

 

For those who need to use SPSS program, please visit https://www.it.chula.ac.th/spss-software to download the program and follow the instructions on the website.   For those using their own laptops, please install the program prior an appointment.