Alternatives to randomisation in the evaluation of public-health interventions: statistical analysis and causal inference | Zendy

Simon Cousens | Zendy; James Hargreaves | Zendy; Chris Bonell | Zendy; Ben Armstrong | Zendy; James Thomas | Zendy; Betty Kirkwood | Zendy; Richard Hayes | Zendy

Open Access

Alternatives to randomisation in the evaluation of public-health interventions: statistical analysis and causal inference

Author(s) -

Simon Cousens,

James Hargreaves,

Chris Bonell,

Ben Armstrong,

James Thomas,

Betty Kirkwood,

Richard Hayes

Publication year - 2009

Publication title -

journal of epidemiology and community health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.692

H-Index - 170

eISSN - 1470-2738

pISSN - 0143-005X

DOI - 10.1136/jech.2008.082610

Subject(s) - confounding , causal inference , statistical inference , medicine , psychological intervention , propensity score matching , inference , type i and type ii errors , outcome (game theory) , instrumental variable , statistics , computer science , machine learning , artificial intelligence , mathematics , mathematical economics , pathology , psychiatry

In non-randomised evaluations of public-health interventions, statistical methods to control confounding will usually be required. We review approaches to the control of confounding and discuss issues in drawing causal inference from these studies.

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