
Parametric vs. Non-Parametric Tests in Clinical Research: When, Why, and How
📘 Parametric vs Non-Parametric: What's Realer ? In clinical epidemiology and biostatistics, selecting the appropriate statistical test...

Too Simple to Notice, Too Important to Ignore: Why Methods Projects Matter—and How to Build One That Shines
🧠 The Hidden Weak Links That Power Science Ask yourself: “What’s something we all do in clinical research—but never truly question?”...

What Is Regression in Clinical Epidemiology? A Simple Guide to Risk Difference and Risk Ratio
🧪 What is Regression in Simple Terms? Regression is a statistical method used to understand and quantify the relationship between one...

Risk Regression Models in Clinical Epidemiology: Estimating Risk Difference and Risk Ratio
Introduction When analyzing binary outcomes in clinical epidemiology—such as the presence or absence of a disease—choosing the...

Understanding Risk in Clinical Epidemiology: Incidence, Prevalence, and Comparative Measures
Introduction In clinical epidemiology, the concept of risk serves as a foundational pillar for evaluating disease frequency, identifying...

Likelihood Ratios: พื้นฐานความน่าจะเป็นในเชิงเงื่อนไข (Conditional Probability)
🔶 LR⁺ (Likelihood Ratio for a Positive Test) 📌 Definition The ratio of the probability of a positive test in someone with the disease...

Calculating Mean and SD of Change from Baseline Using Correlation
🎯 Purpose In clinical trials and observational studies, it's often necessary to compare change scores (e.g., improvement in blood...

Calculating Pooled Mean and SD from Subgroup Data: Meta-Analysis Guide
🎯 Purpose In clinical research and meta-analysis, it's common to have results from subgroups (e.g., age strata, treatment arms,...

Estimating Mean and SD Using Wan’s Method for Meta-Analysis
🎯 Purpose In meta-analyses, especially of clinical studies, researchers often encounter studies reporting medians, ranges, and quartiles...

RevMan-style meta-analysis workflows: Calculating Standard Deviations for Meta-Analysis from Confidence Intervals, SE, p-values, and t-values
Meta-analysis often requires mean and standard deviation (SD) , but studies frequently report incomplete data . This guide teaches how to...

Relative Difference (RD) & Absolute Difference (AD): Clinical Definition & Use
🔍 Definitions Relative Difference (RD) quantifies the proportional change between two groups, typically relative to a baseline or...

Can You Convert Median and IQR to Mean and SD?
✅ Short Answer: Yes, approximately —but only under strong assumptions , such as a symmetric or normal distribution . Several methods...

Can Relative Difference Use Median and IQR Instead of Mean and SD?
✅ Short Answer No, relative difference (RD) is fundamentally based on means , ratios , or changes in mean values , and cannot be...

Foundations of Regression Modelling in Clinical Research
Introduction In clinical research, understanding how health outcomes are associated with predictors such as age, treatment, or biomarker...

Comprehensive Recap of Core Stata Commands for Clinical Regression Analysis
Introduction This recap outlines the set of Stata commands employed in clinical regression workflows, particularly for anthropometric and...

The Necessity of Regression-Based Approaches in Clinical Statistics
Introduction Clinical research has evolved significantly, with increasingly complex datasets and nuanced research questions. Basic...

Economic Evaluation and Policy Strategies for Rare Diseases: A Modern HEOR Perspective
Introduction Rare diseases, despite affecting small patient populations, pose large-scale challenges for healthcare systems due to...

How to Read and Appraise a Health Economic Evaluation Using the Drummond Checklist
Introduction As healthcare decision-making increasingly relies on economic evidence, the ability to critically appraise economic...

Uncertainty and Sensitivity Analysis in Health Economic Evaluation: Principles, Tools, and Application
Introduction In health economics, decisions are rarely made under conditions of perfect certainty. Clinical outcomes, cost estimates, and...

Decision Trees and Markov Models in Health Economic Evaluation: Principles, Construction, and Applications
Introduction Healthcare decisions—whether at the bedside or in national policy—often require a systematic way to weigh options under...

The Role of Health Economic Evaluation in National Drug Selection and Decision-Making
Introduction Health systems worldwide confront an increasingly complex matrix of clinical innovation, economic pressure, and population...

PRISMA 2020: A Comprehensive Guide to Transparent and Rigorous Reporting of Systematic Reviews
Introduction Systematic reviews are a cornerstone of evidence-based medicine. They collate findings from multiple studies to address...

AMSTAR 2: Methodological Framework for Appraising the Quality of Systematic Reviews
Introduction Systematic reviews synthesize empirical evidence to guide clinical and policy decisions. However, the validity of their...

Common Parasites & First-Line Treatments
🦠 Common Parasites & First-Line Treatments Disease Causative Agent Drug of Choice Dose & Notes Strongyloidiasis Strongyloides...





