
Reporting Multiple Imputation in Clinical Research: Standards, Misconceptions, and Best Practices [Multiple imputation, MI]
Introduction Multiple Imputation (MI) has become a cornerstone technique for managing missing data, but its power is matched by the...

Handling Missing Repeated Outcome Measurements in Clinical Research: Models, Myths, and Best Practices [Multiple imputation, MI]
Introduction Repeated outcome measurements are common in longitudinal clinical studies—tracking symptoms, biomarkers, or functional...

The Proper Execution of Multiple Imputation: Precision Tactics for Clinical Research Integrity [Multiple imputation, MI]
Introduction Multiple Imputation (MI) is not just a statistical tool—it’s a philosophy of data recovery rooted in uncertainty management....

Multiple Imputation in Clinical Research: Univariate and Multivariate Approaches [Multiple imputation, MI]
Introduction Missing data is a recurrent challenge in clinical and epidemiological studies. Multiple Imputation (MI) provides a...

Methods to Handle Missing Data in Clinical Research: From Basics to Best Practice [Multiple imputation, MI]
Introduction Handling missing data is a critical step in clinical research methodology. Unaddressed, missingness can compromise the...

Understanding Missing Data Mechanisms in Clinical Research: Definitions, Scenarios, and Identification Strategies [Multiple imputation, MI]
Introduction In clinical research, the presence of missing data is not merely an inconvenience—it shapes the integrity of statistical...

Navigating Missing Data in Clinical Research: Concepts, Pitfalls, and Best Practices [Multiple imputation, MI]
Introduction Missing data is an inevitable reality in clinical research. From incomplete medical records to patient dropouts in follow-up...

Understanding Regression: From Correlation to Clinical Modeling [Multiple imputation, MI]
Introduction Regression analysis is foundational in clinical research, serving as a tool to examine and quantify relationships between...

Rabies Exposure Risk Categories and Management (WHO Guidelines: CAT1 CAT2 CAT3) แนวทางจัดการตามระดับความเสี่ยงการสัมผัสโรคพิษสุนัขบ้า (ตาม WHO: CAT1 CAT2 CAT3) Rabies Vaccine RIG HRIG หมากัด แมวกัด
🧾 Comprehensive Rabies PEP Decision Table (with Vaccine and RIG Schedule) Category Immune Status Vaccination History Management Vaccine...

PCP in HIV/AIDS: Chest X-Ray Findings, CT Clues, and Clinical Diagnosis
🔍 Clinical Context: PCP in HIV/AIDS Patients Epidemiology and Pathogenesis Pneumocystis jirovecii is a fungal pathogen causing...

Platelet Transfusion Guidelines: Thresholds, Product Types, and Clinical Scenarios (เมื่อไหร่เติมเกล็ดเลือด)
Introduction Platelets play a vital role in primary hemostasis, and thrombocytopenia (low platelet count) increases the risk of...

Amiodarone IV Management: Emergency Use, Dosage, Monitoring, and Transition
🩺 Amiodarone IV Management Overview 1. Indication Stable or unstable ventricular tachycardia (VT) Ventricular fibrillation (VF)...

Managing Menstruation in Dengue: Role of Primolut N and Provera
Overview In cases of Dengue fever , particularly in moderate to severe dengue , managing menstruation can be clinically significant due...

Primolut N vs Provera: Uses, Dosage, Safety, and Clinical Application
Overview Primolut N (Norethisterone) and Provera (Medroxyprogesterone acetate) are synthetic progestins used in managing a variety of...

Seizures and Epilepsy (All Seizure Types): Classification, Diagnosis, and Emergency Management Guide
1. What Is a Seizure? A seizure is a transient, uncontrolled electrical discharge of neurons in the brain, causing altered behavior,...

N-of-1 Trials: Precision Experimentation for Individualized Clinical Decisions
Introduction In the age of personalized medicine, there is increasing recognition that population-level evidence may not always translate...

Crossover Trials in Clinical Research: Design, Suitability, and Statistical Insights
Introduction Crossover trials represent a specialized type of randomized controlled trial (RCT) used in clinical research to compare two...

How to Define the Non-Inferiority Margin (Δ) in Clinical Trials [How to Calculate the Non-Inferiority Margin (Δ)]
🧠 Core Objective: What is Δ? Δ represents the maximum allowable difference in effectiveness between the new treatment and the standard,...

Understanding Non-Inferiority Trials (NI): Logic, Design, and Clinical Impact
Introduction In clinical research, especially when effective therapies already exist, demonstrating that a new intervention is not...

Hematological Disorders Overview: Lymphoma, CML, PMF, and Hyperleukocytosis
1. Anemia in Lymphoma: Mechanisms and Clinical Insight Lymphoma, a malignancy of the lymphatic system, can lead to anemia through several...

Covariate Adjustment in Randomized Trials: Why, When, and How
Introduction Randomized controlled trials (RCTs) are designed to eliminate confounding through random assignment, making treatment groups...

mITT vs CACE in Clinical Trials: Cleaning Convenience or Causal Clarity?
🧪 Modified Intention-to-Treat (mITT): Cleaning for Convenience, at a Cost 🎯 What It Really Estimates mITT estimates the effect of...

Choosing the Right Analysis Strategy in RCTs: From ITT to CACE [Concept of Trial analysis]
Introduction Randomized controlled trials (RCTs) are the gold standard for causal inference in clinical medicine, offering unparalleled...

How Analysis Strategy Shapes RCT Results: ITT, mITT, PP, AT, and CACE Demystified [Concept of Trial analysis]
Introduction Clinical trials are pivotal in shaping the evidence base of medicine. However, the interpretation of their results is deeply...





