Mahidol University Faculty of Medicine Ramathibodi Hospital | Department of Clinical Epidemiology and Biostatistics

Mahidol University Faculty of Medicine Ramathibodi Hospital

Department of Clinical Epidemiology and Biostatistics

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HIGHLIGHT VIDEO

Special Conference 2023-10-20

Special Conference 2023-10-20

Time: 9 am – 12 pm
Topic: Missing data in clinical studies: impact and solutions (imputat...

Journal Club 15 September 2023

Journal Club 15 September 2023

Phenotypic presentation of Mendelian disease across the diagnostic trajectory in electronic health rec...

Special Events Timetable for 2023

Special Events & Journal Club Timetable for 2023

Journal Club 1 September 2023

Journal Club 1 September 2023

Mediation Analysis: A Practitioner’s Guide

เปิดรับสมัครแพทย์ใช้ทุน

เปิดรับสมัครแพทย์ใช้ทุนปีการศึกษา 2567

รับสมัครถึง 1 กันยายน 2566

Research Performance

Research Performance

HIGHLIGHT ON OUR STUDENTS

Teh (also known as Jocelyn) is currently a research pharmacist

Teh Xin Rou's Personal Story

Dr. Philip Etabee Bassey is a medical doctor from Nigeria

Philip Etabee Bassey's Personal Story

She graduated from Ph.D. in Clinical Epidemiology (International Program)

Thitiya Lukkunaprasit's Personal Story

She graduated from M.Sc. in Data Science for Healthcare (International Program)

Patratorn Kunakorntham's Personal Story

Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study |

Short-term Efficacy and Safety of Biological Tear Substitutes and Topical Secretagogues for Dry Eye Disease: A Systematic Review and Network Meta-analysis |

Comparison of treatment efficacy between 100% platelet-rich plasma and 100% serum eye drops in moderate-to-severe dry eye disease: a randomised controlled trial protocol |

Retinopathy prediction in type 2 diabetes: Time-varying Cox proportional hazards and machine learning models |

Development and external validation of automated ICD-10 coding from discharge summaries using deep learning approaches |

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Department of Clinical Epidemiology and Biostatistics