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Research Design Tools
Methodology Training Suite

πŸ”’ Random Number Generator

Generate high-precision random values for unbiased research selection.

Generated sequence will appear here as a comma-separated list...

🎲 Randomization

"Chance Decides" β€” Learn how to allocate participants to study groups while eliminating selection bias.

> Initialize Randomization Module...
Theory & Logic

Simple Randomization

Every participant has an equal, independent probability of being assigned to any group.

Clinical Example: Testing a new drug vs Placebo in 100 patients.

🀝 Matching Techniques

"Researcher Decides Similarity" β€” Controlling for confounding variables in observational studies.

Methodology

Individual Matching

Each 'Case' is matched with one or more 'Controls' based on specific variables like Age or Sex.

🎯 Sampling Methods

Selecting a representative subset. Understand the difference between Probability and Non-Probability techniques.

Probability Sampling
Non-Probability Sampling
Probability

Simple Random Sampling

Every member of the population has an equal chance of being selected.

πŸ”¬ Types of Epidemiological Research

Understanding the Roadmap of Evidence Generation β€” from Observations to Experiments.

Observational Studies
Experimental Studies
Systematic Review & Meta-analysis
Reporting Guidelines

⚠️ Types of Biases in Epidemiology

Identifying the Pitfalls β€” Systemic errors that lead to incorrect estimates of association.

Selection Bias
Information Bias
Confounding

⛓️ Mediation & Moderation

Beyond Simple Association β€” Understanding "How" and "In What Context" effects occur.

Mediation and Moderation

πŸ“œ Bradford Hill Criteria

Nine principles to distinguish causal relationships from mere correlations.

⚠️ Key Epidemiological Rule

These are guidelines, not strict rules. Not all criteria must be fulfilled to establish causation. They were proposed by Austin Bradford Hill in 1965 in his landmark paper "The Environment and Disease."