Pathway framework 6 of 8

Weighing the Evidence

How to get a treatment effect by combining the results of studies

How a treatment effect is estimated, pooled for a model, and taken from routine data when trials are not the source.

5 steps

This framework organises the concepts covered at each step of the pathway on the Knowledge Map.

Before you start

Concepts from other branches of the Knowledge Tree that this pathway builds on.

  1. Step 1

    Trial and study design

    How trials and observational studies are set up so that treatments can be compared fairly.

    38 concepts

    Why start here

    Every treatment effect used in an evaluation comes from a study, so the pathway starts with how studies are designed and where bias can enter.

  2. Step 2

    Epidemiology and risk measures

    The measures that describe how often disease occurs and how much a treatment changes the risk of an event.

    58 concepts

    Why this comes next

    Study results have to be reported on a scale, and these measures are the numbers that the later steps estimate and pool.

    Optional

  3. Step 3

    Statistical methods

    The tools for estimating effects from study data and for showing how uncertain those estimates are.

    158 concepts

    Why this comes next

    With the measures defined, statistical methods show how each one is estimated from data and how far the estimate can be trusted.

    Must-learn

    Optional

  4. Step 4

    Evidence synthesis and appraisal

    Finding and appraising all the relevant studies and combining their results, including comparisons of treatments never tested against each other in one trial.

    43 concepts

    Why this comes next

    A single study rarely settles a question, so once the analysis of one study is clear, the results of many studies are appraised and pooled.

    Optional

  5. Step 5

    Causal inference and real-world evidence

    Estimating treatment effects from routine data and other non-randomised sources, where the groups being compared may differ at the start.

    18 concepts

    Why this comes next

    Trials cannot answer every question, so the pathway ends with methods that adjust for differences between groups when there is no randomisation.

    Also on the Building the Model pathway

Where to go next

Branches that take these methods further.