You are here

Special Events Timetable for 2020

Date Topic Academic Coordinator  Presenter Commentator Moderator VDO
03 Jan 2020 A meta-analysis combining parallel and cross-over randomized controlled trials to assess impact of iodine fortified foods on urinary iodine concentration among children Assoc.Prof.Atiporn Krongkaew Chanika Putsarat  
17-Jan-20 How to Read Articles that Use Machine Learning Dr.Anuchate Parin Patratorn Wanchana  
07-Feb-20 When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation Assist.Prof.Pawin Putsarat Grace Visasiri  
21-Feb-20 Defining the process to literature searching in systematic reviews: a literature review of guidance and supporting studies Assist.Prof.Sakda Sharmila Sagar Napaphat  
06-Mar-20 Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error Assist.Prof.Oraluck Patratorn Parin Sigit  
20-Mar-20 Grey literature in systematic reviews: a cross-sectional study of the contribution of non-English reports, unpublished studies and dissertations to the results of metaanalyses in child-relevant reviews Assist.Prof.Thunyarat Tanyaporn Dian Orawee  
03-Apr-20 A Systematic Review and Recommendation for Reporting of Surrogate Endpoint Evaluation Using Meta-analyses Prof.Ammarin Grace Sharmila Suphakarn  
17-Apr-20 Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers Assoc.Prof.Atiporn Sagar Tanyaporn Alisa  
01-May-20 Development of the summary of findings table for network meta-analysis Assist.Prof.Pawin Chanika Kasidin Lertkong  
15-May-20 Scoping review describes methods used to identify, prioritize and display gaps in health research Assist.Prof.Sakda Dian Chuenkamon Chusak  
05-Jun-20 Calculating the sample size required for developing a clinical prediction model Assoc.Prof.Sasivimol Kasidin Suphakarn Amarit  
19-Jun-20 Node - Making Process in Network Meta - Analysis of Nonpharmacological Treatment are Poorly Reported Dr.Kunlawat Tunlanut Putsarat Sudarat  
03-Jul-20 Machine Learning for Survival Analysis - A Survey Dr.Ratchainant Panu Sigit Pongsathorn
17-Jul-20 The conduct and reporting of mediation analysis in recently published
randomized controlled trials: results from a methodological systematic
Assist.Prof.Thunyarat Ronny Thitiya Kamolpat
07-Aug-20 Comparison of Propensity Score Methods
and Covariate Adjustment
Assoc.Prof.Atiporn Kamolpat Chuenkamon Tunlanut
21-Aug-20 Sensitivity Analysis in Observational Research: Introducing the E - Value Assist.Prof.Pawin Narisa Lertkong Songporn
11-Sep-20 An overview of statistical methods for handling nonadherence to intervention protocol in randomized control trials: a methodological review Dr.Kunlawat Passara Amarit Ronny
18-Sep-20 Registry-based randomized controlled trials- what are the advantages,
challenges, and areas for future research?
Assist.Prof.Sasivimol Threechada Chusak Panu
02-Oct-20 Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches Assoc.Prof.Oraluck Wanchana Kamolpat Narisa
16-Oct-20 Alternative Approaches for Confounding Adjustment in Observational Studies Using Weighting Based on The Propensity Score: A Primer for Practitioners Assist.Prof.Thunyarat Pokket Tunlanut Passara
06-Nov-20 The Magic of Randomization versus the Myth of Real-World Evidence. Assoc.Prof.Atiporn Songporn Visasiri Ronny
04-Dec-20 Treatment Effect Model Prof.Ammarin Napaphat &  Suphakarn Nattakrit
Department of Clinical Epidemiology and Biostatistics