| 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20-Mar-20 | Grey literature in systematic reviews: a cross-sectional study of the contribution of non-English reports, unpublished studies and dissertations to the results of metaanalyses in child-relevant reviews | Assist.Prof.Thunyarat | Tanyaporn | Dian | Orawee | |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 review |
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 | |
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