Topic module

Statistics, Epidemiology and Evidence-Based Medicine

Interpret diagnostic tests, effect estimates, study design, bias and applicability to clinical decisions.

Long-form learning

Concept to Risk to Memory to Check-up

Use the official likely question distribution to plan breadth, then connect mechanisms, patterns and investigations to one most appropriate answer.

Core concepts

Concept 1

A result is interpreted through study design, effect size, precision, bias and patient applicability.

Exam cue: Identify the study question and denominator first.

Concept 2

Predictive values change with prevalence even when sensitivity and specificity do not.

Exam cue: Separate statistical significance from clinical importance.

Risk pitfalls and guardrails

Treating association as causation.

Guardrail: Do not select an option merely because it is true; choose the one that best answers the exact stem and fits the full pattern.

Using relative effect without considering baseline risk.

Guardrail: Do not select an option merely because it is true; choose the one that best answers the exact stem and fits the full pattern.

Memory anchors

What do sensitivity and specificity describe?

Test performance among people with and without the target condition.

What changes predictive value?

Disease prevalence and the test's likelihood ratios.

What does a confidence interval show?

The range of values compatible with the data under the model and the estimate's precision.

What is confounding?

A third factor associated with exposure and outcome distorts their observed relationship.

What makes evidence applicable?

Comparable population, intervention, outcomes, setting, feasibility and patient priorities.

Checkpoint rule

Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.

Knowledge Check (after reading)

Short check-up to confirm understanding of this module.

1-2 question checkpoint

In a trial, 20% of the control group and 10% of the treatment group experience an event. What is the absolute risk reduction?

A treatment reduces event risk from 20% to 10%. What is the number needed to treat?

Answer all questions to submit.

Next step personalized recommendations

Move forward only after this module is stable.

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