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Papers of previous Journal Club's sessions

Date Topic Speaker Paper
05/01/2024 - Methods for the inclusion of real-world evidence in network meta-analysis Chanatpon Aonnuam
17/11/2023

- An introduction to inverse probability of treatment weighting in observational research 

- Inverse probability weighting to handle attrition in cohort studies: some guidance and a call for caution

- Statins were not associated with hepatocellular carcinoma after controlling for time-varying confounders in patients with diabetes

Bikal Shrestha
03/11/2023 - Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reports Ekapob Sangariyavanich
06/10/2023 - Choice of imputation method for missing metastatic status affected estimates of metastatic prostate cancer incidence Pokket Sirisreetreerux
15/09/2023 - Phenotypic presentation of Mendelian disease across the diagnostic trajectory in electronic health records Cholatid Ratanatharathorn
01/09/2023 - A principled approach to mediation analysis in perinatal epidemiology Masatha Thongpan
18/08/2023

- Multivariate longitudinal data for survival analysis of cardiovascular event prediction

- Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review

Sharmin Akter
21/07/2023 Scalable and accurate deep learning with electronic health records Nat Tangchitnob
07/07/2023 Assessing Heterogeneity of Treatment Effect in Real-World Data   Sureerat Suwatcharangkoon
02/06/2023 A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models Lertkong Nitiwarangkul  
19/05/2023

- Can artificial intelligence help for scientific writing?

- Authorship

- Best Practices for Using AI When Writing Scientific Manuscripts

- Can an artificial intelligence chatbot be the author of a scholarly article? 

- ChatGPT listed as author on research papers many scirntsts disapprove

- ChatGPT threaten transparent science here are our ground rules for their use

Teerapong Aramruang    
12/05/2023

- Missing Outcome Data in Epidemiologic Studies

- Handling missing data in clinical research

Chuenkamon Charakorn  
28/04/2023

- “Why Should I Trust You?” Explaining the Predictions of Any Classifier

- A Unified Approach to Interpreting Model Predictions

- Explaining Explanations: An Overview of Interpretability of Machine Learning

Pongsakorn Tanupatrasakul
07/04/2023 Minimal important changes in standard deviation units are highly variable and no universally applicable value can be determined  Prapaporn Pornsuriyasak
03/03/2023 Guidelines for Reporting Outcomes in Trial Reports. The CONSORT-Outcomes 2022 Extension Passara Jongkhajornpong
17/02/2023 Feasibility and utility of applications of the common data model to multiple, disparate observational health databases Ravi Laohasurayodhin  
03/02/2023 Change score or follow-up score? Choice of mean difference estimates could impact meta-analysis conclusions Apisara Keesukphan  
20/01/2023 Transformers in Vision: A Survey Sermkiat Lolak  
06/01/2023 Defining the Most Appropriate Primary End Point in Phase 2 Trials of Immune Checkpoint Inhibitors for Advanced Solid Cancers Sunatee Sa-nguansai  
04/11/2022 The cohort multiple randomized controlled trial design: a valid and efficient alternative to pragmatic trials? Pokket Sirisreetreerux
21/10/2022 Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing Ekapob Sangariyavanich
07/10/2022 Counterfactual clinical prediction models could help to infer individualized treatment effects in randomized controlled trialsdAn
illustration with the International Stroke Trial
Sureerat Suwatcharangkoon
16/09/2022

- Using a neural network-based feature extraction method to facilitate citation screening for systematic reviews

- Automated medical literature screening using artificial intelligence: a systematic review and meta-analysis

Phongphat Wiwatthanasetthakarn   
02/09/2022 Implementation of an Alternative Method for Assessing Competing Risks: Restricted Mean Time Lost Narisa Ruenruengbun  
19/08/2022

- A Unified Approach to Interpreting Model Predictions: SHAP

- Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics

- Explainable AI: A Review of Machine Learning Interpretability Methods

Chaiyawat Suppasilp    
17/06/2022 Real-world Health Data and Precision for the Diagnosis of Acute Kidney Injury, Acute-on-Chronic Kidney Disease, and Chronic Kidney Disease: Observational Study Sharmin Akter
10/06/2022

- Estimates of Overall Survival in Patients With Cancer Receiving Different Treatment Regimens 

- Registries: Big data, bigger problems?

- The Surveillance, Epidemiology and End Results (SEER) Program and Pathology: Towards Strengthening the Critical Relationship

Chuenkamon Charakorn  
20/05/2022

- Explaining in Style: Training a GAN to explain a classifier in StyleSpace

- Analyzing and Improving the Image Quality of StyleGAN

Teerapong Aramruang  
06/05/2022 - An introduction to mediation analyses of randomized controlled trials
- A Guideline for ReportingMediation Analyses of Randomized Trials and Observational Studies
Chusak Limotai
08/04/2022

- Variational Inference: A Review for Statisticians

- Markov Chain Monte Carlo: an introduction for epidemiologists

Sermkiat Lolak

01/04/2022

- Meta-analysis of repeated measures study designs

- Advice on low-fat diets for obesity (Review)

Nichawan​ Koompong
18/03/2022

- Guidelines for multiple imputations in repeated measurements with time-dependent covariates: a case study

- Imputation Methods for Longitudinal Data: A Comparative Study:

- Multiple Imputation of Missing Data for Multilevel Models: Simulations and Recommendations

Maria Magadalena Pradita Eka Kurniawati
05/03/2022 - Using Trial Sequential Analysis for estimating the sample sizes of further trials: example using smoking cessation intervention
- Assessment of Evidence Regarding Minimally Invasive Surgery vs. Conservative Treatment on Intracerebral Hemorrhage: A Trial Sequential Analysis of Randomized Controlled Trials
Amarit Tansawet
18/02/2022 Changing predictor measurement procedures affected the performance of prediction models in clinical examples Phtichaya Faramnuayphol  
04/02/2022 Analyses of repeatedly measured continuous outcomes in randomized controlled trials needed substantial improvements Passara Jongkhajornpong
21/01/2022 Few-shot Learning for Named Entity Recognition in Medical Text Teh Xin Rou
07/01/2022 Balance Diagnostics for Comparing the Distribution of Baseline between Treatment Groups in Propensity-Score Matched Samples Narisa Ruenruengbun
5/11/2021 A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies Kamolpat Chaiyakittiso
15/10/2021 Stepwise-Hierarchical Pooled Analysis for Synergistic Interpretation of Meta-analyses Involving Randomized and Observational Studies: Methodology Development Passara Jongkhajornpong
1/10/2021 A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies Lertkong Nitiwarangkul
17/09/2021 Few-Shot Learning for Medical Image Classification Wanchana Ponthongmak
17/09/2021 Worst-Rank Score Methods—A Nonparametric Approach to Informatively Missing Data Chaiyapol Chaweewannakorn
03/09/2021 Regression discontinuity designs in healthcare research Sermkiat Lolak
03/09/2021 How to avoid machine learning pitfalls: a guide for academic researchers Songporn Oranratnachi
20/08/2021 Research and Management of Rare Diseases in the COVID-19 Pandemic Era: Challenges and Countermeasures Chusak Limotai
20/08/2021 Best Practices for Estimating, Interpreting, and Presenting Nonlinear Interaction Effects Narisa Ruenruengbun
18/06/2021 Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction Jitsama Kurusakdapong
04/06/2021 Methods for depicting overlap in overviews of systematic reviews: An introduction to static tabular and graphical displays Pokket Sirisreetreerux
21/05/2021 How to Read Articles That Use Machine Learning Users' Guides to the Medical Literature

Chaiyawat Suppasilp

07/05/2021 Introducing Artificial Intelligence Training in Medical Education Panu Looareesuwan
16/04/2021 Efficient Adaptive Designs for Clinical Trials of Interventions for COVID-19 Amarit Tansawet
02/04/2021 Updating guidance for reporting systematic reviews Chuenkamon Charakorn
19/03/2021 Mixed effect machine learning Htun Teza
05/03/2021 Guide to presenting clinical prediction models for use in clinical settings Sureerat Suwatcharangkoon
19/02/2021 Two-sample Mendelian Randomization Thitiya Lukkunaprasit
05/02/2021 A Survey of Word Embeddings Phongphat Wiwatthanasetthakarn
15/01/2021 Development and Validation of A Deep Learning Model for Non–Small Cell Lung Cancer Survival Chonchanan Pongsuchart  
08/01/2021 Systematic Review or Scoping Review? Guidance for Authors When Choosing Between A Systematic or Scoping Review Approach Denny Saptono Fahrurodzi  
04/12/2021 Workshop: Treatment Effect Model

Suphakarn Techapongsatorn

Napaphat Poprom

06/11/2020 The Magic of Randomization versus The Myth of Real-World Evidence Songporn Oranratnachi  
16/10/2020 Alternative Approaches for Confounding Adjustment in Observational Studies Using Weighting Based on The Propensity Score: A Primer for Practitioners Pokket Sirisreetreerux  
02/10/2020 Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches Wanchana Ponthongmak
11/09/2020 An overview of statistical methods for handling nonadherence to intervention protocol in randomized control trials: a methodological review Passara Jongkhajornpong   
18/09/2020 Registry-Based Randomized Controlled Trials- What are the advantages, challenges, and areas for future research? Threechada Boonchan
21/08/2020 Sensitivity Analysis in Observational Research: Introducing the E - Value Narisa Ruenruengbun
07/08/2020 Comparison of Propensity Score Methods and Covariate Adjustment Kamolpat Chaiyakittisoprn   
17/07/2020 The conduct and reporting of mediation analysis in recently published randomized controlled trials: results from a methodological systematic review Ronny Isnuwardana
03/07/2020 Machine Learning for Survival Analysis: A Survey Panu Looareesuwan
19/06/2020 Node-making process in network meta-analysis of nonpharmacological treatment are poorly reported Kasidin Vitoopinyoparb
05/06/2020 Calculating the sample size required for developing a clinical prediction model Tunlanut  Sapankaew
15/05/2020 Scoping review describes methods used to identify, prioritize and display gaps in health research Sharmira Shrestha
01/05/2020 Development of the summary of findings table for network meta-analysis Chanika Angsanuntsukh
17/04/2020 Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers Sagar Tiwari
03/04/2020 A Systematic Review and Recommendation for Reporting of Surrogate Endpoint Evaluation Using Meta-analyses Grace Filbertine    
20/03/2020 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 Tanyaporn Patathong    
06/03/2020 Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error Patratorn Kunakorntham
21/02/2020 Defining the process to literature searching in systematic reviews: a literature review of guidance and supporting studies Dian Faradiba
07/02/2020 When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation Putsarat Insin
17/01/2020 How to Read Articles that Use Machine Learning Parin Kittipongdaja
03/01/2020 A meta-analysis combining parallel and cross-over randomized controlled trials to assess impact of iodine fortified foods on urinary iodine concentration among children Krongkaew Klaewkasikum
18/10/2019 An Interpretable Rule-Based Diagnostic Classification of Diabetic nephropathy Among Type 2 Diabetes Patients Sigit Ari Saputro
04/10/2019 Relative Performance of Propensity Score Matching Strategies for Subgroup Analyses Lertkong Nitiwarangkul   
06/09/2019 Characteristics and methods of incorporating randomized and nonrandomized evidence in network meta-analyses: a scoping review Rasika Aukkarakornkul
16/08/2019 Survival Analysis in the Setting of Competing Risks Sqn.Ldr.Anan Chuasuwan   
02/08/2019 Using Big Data and Predictive Analytics to Determine Patient Risk in Oncology Pongsathorn Piebpien
19/07/2019 The number needed to treat in pairwise and network meta-analysis and its graphical representation Ronny Isnuwardana    
05/07/2019 Enrichment Design Dr. Suphakarn Techapongsatorn  
21/06/2019 Toward a comprehensive evidence map ofoverview of systematic review methods:paper 2—risk of bias assessment; synthesis, presentation and summary of the findings;and assessment of the certainty of the evidence Napaphat Poprom
07/06/2019 Rapid reviews may produce different results to systematic reviews: a meta-epidemiological study Ela Singh Rathaur
17/05/2019 GRADE approach to rate the certainty from a network meta-analysis:addressing incoherence Dr. Rujira Wattanayingcharoenchai
03/05/2019 Using Big Data to Emulate a Target Trial when a Randomized Trial is Not Available Dr. Chusak Limotai
19/04/2019 Use of Fractional Polynomials in Medical Research Dr. Philip Etabee Macdonald Bassey  
05/04/2019 Lung tumor segmentation algorithm Mr. Ganesh Shah
15/03/2019 Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data Dr. Sanjeev Man Bijukchhe
01/03/2019 Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations Miss Litha Purwanti 
15/02/2019 Image processing and recognition for biological images Mr. Amit Kumar Ghosh
01/02/2019 What mediation analysis can (not) do Dr. Sawarat Chaijindaratana
18/01/2019 Natural Language Processing in Radiology: A Systematic Review Miss Khushbu Gupta
04/01/2019 Meta-epidemiologic analysis indicates that MEDLINE searches are sufficient for diagnostic test accuracy systematic reviews Miss Swekshya Karmacharya
02/11/2018 How to deal with missing data in scientific research? Dr. Alisa Seangleulur
19/10/2018 Network meta-analysis of diagnostic test accuracy studies identifies and ranks the optimal diagnostic tests and thresholds for healthcare policy and decision-making Dr. Sudarat Eursiriwan
05/10/2018 White Paper on Artificial Intelligence in Radiology By Canadian Association of Radiologists

Miss Khushbu Gupta

21/09/2018 Three risk of bias tools lead to opposite conclusions in observational Dr. Sunisa Roahanavibhata
07/09/2018 External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges Mr. Sigit Ari Saputro
17/08/2018 Big Data for Health Mr. Pongsathorn Piebpien
03/08/2018 How to estimate cost-effectiveness acceptability curves, confidence ellipses and incremental net benefits alongside randomised controlled trials Dr. Visasiri Tantrakul
17/04/2017 GRADE Approah for rating the quality of treatment effect estimates from network meta-analysis Dr . Teeraya Puavilai  
17/03/2017 Network meta-analysis incorporating randomized controlled trials and nonrandomized comparative cohort studies for assessing the safety and effectiveness of medical treatments: challenges and opportunities Dr. Win Khaing   
22/02/2017 Epidemiologic methods in the study of sudden cardiac death Professor Ross Simpson
17/02/2017 Prognosis research strategy (PROGRESS) 4: Stratifiedmedicine research Dr. Sai Ko Ko Zaw
20/01/2017 Composite Endpoints for Competing Risks Dr. Chuenkamon Charakorn
18/11/2016 Special Conference ‘Pitfalls in Clinical Epidemiology: from Study to Thesis’ Dr.Bunyarit Sukrat,
Dr.Chumpon Wilasrusmee
 
21/10/2016 Causal Inference in Randomized Clinical Trials : When trials don’t turn out the way you planned Dr. Pawin Numthavaj
 
 
16/09/2016 Propensity Score Estimation Dr. Visasiri Tantrakul
15/07/2016 Subjective and objective outcomes in randomized clinical trials: definitions differed in methods publications and were often absent from trial reports Dr. Nanticha Kamanamool
17/06/2016 Evidence-Based Prescribing Combining Network Meta-Analysis With Multicriteria Decision Analysis to Choose Among Multiple Drugs Dr. Sudarat Eursiriwan  
13/05/2016 Critical Appraisal of Network Meta-analysis Dr. Win Khaing
22/04/2016 GetReal in network meta-analysis: a review of the methodology Dr. Teeranan Angkananard
18/03/2016 Frailty Models Dr. Kachin Wattanawong
19/02/2016 Factors influencing recruitment to research: qualitative study of the experiences and perceptions of research teams Miss Threechada Boonchan
15/01/2016 How to develop a more accurate risk prediction model when there are few events Dr. Pawin Numthavaj
20/11/2015 Instrumental variables  exploit natural variation in nonexperimental data to estimate causual relationships Dr. Pongsakorn Atisawedparit  
16/10/2015 Prognosis Research Strategy 3: Prognostic Model Research Dr. Boonying Siribumrungwong
18/09/2015 Imputation of Missing Data
Dr. Phisitt Vejakama,
Dr. Thunyarat Anothaisinthawee,
Dr. Bunyarit Sukrat
21/08/2015 Incorporating alternative design clinical trials in network meta-analyses Dr. Jatupon Kongtharvonskul
17/07/2015 External validation of a Cox prognostic model: Principles and Methods Dr. Attawood Lertpimonchai
19/06/2015 Balanced Incomplete Block design is unsuitable for the evaluation of complex interventions Dr. Nakarin Sansanayudh
15/05/2015 Systematic Review Automation Technologies Dr. Orawee Chinthakanan
24/04/2015 You are how you recruit: a cohort and randomized controlled trial of recruitment strategies Dr. Ibrahim Afzal
20/03/2015 Ottawa Statement: Ethical Design and Conduct of ClusterRandomised Trials: précis for researchers and research ethics committees Dr. Phisitt Vejakama
20/02/2015 Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes Dr. Nanticha Kamanamool
16/01/2015 Systematic Overview: Various approaches to   investigate and report on sources of heterogeneity in systematic reviews of diagnostic studies Dr. Jatupon Kongthavonsakul

 

 

 

 

 

 

 

 

 

 
Department of Clinical Epidemiology and Biostatistics