Coincidence Analysis
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Causal Data Analysis

Coincidence Analysis

A configurational comparative method for causal learning

Coincidence Analysis (CNA) is a configurational comparative method of causal inference and data analysis grouping causes into bundles that are jointly effective and placing them on alternative causal routes to their effects. The method is custom-built for uncovering multi-outcome structures, even when they produce no or only weak pairwise dependencies between endogenous and exogenous factors.


This page collects relevant information on CNA.

CNA group at a workshop

Recent news

All news & archive →
Env Psych cover
Psychology · Journal of Environmental Psychology

CNA applied in Environmental Psychology

Henrik Johansson Rehn, Alexandre Sukhov, Lars E. Olsson, and Margareta Friman use CNA to explore the "window of opportunity" for car use reduction and to identify the causal pathways that lead people to reduce their car use.
Journal of Public Health Policy cover
Firearm policy · Journal of Public Health Policy

How local prevention efforts and state regulations reduce fatal shootings

Daniel C. Semenza, Edward J. Miech, Brielle Savage, and Devon Ziminski use CNA to link combinations of city-level prevention efforts and state firearm policies to fatal shooting rates across 100 US cities.
Implementation Science Communications cover
Method · Implementation Science Communications

Guidance for factor selection in configurational comparative analysis

Laura Caci, Kathrin Blum, Lauren Clack, and Bianca Albers offer a four-stage approach to factor selection for Coincidence Analysis and other configurational comparative methods.
Health Affairs Scholar cover
Public health · Health Affairs Scholar

CNA applied to low life expectancy in Chicago

John Rich, Edward Miech, and colleagues apply CNA to identify the social factors that link to low life expectancy across Chicago's 77 community areas.
PSRM cover
Democracy · PSRM cover

Exemplary application of CNA in democracy research

Jesse Rhodes delivers an exemplary study applying CNA to discover causal paths leading to substantial improvement in subnational democracy in the U.S. states.

The method

Method

Overview of the method

More information about the basics of the method and its theoretical foundations is provided here.

Readings

Literature

An overview over the literature on CNA, both methodological and applied, is provided here.

Software

All packages →
Base

cna

Core analysis; the vignette introduces theory.

frscore

frscore

Fit-robustness for configurational methods.

cnaOpt

cnaOpt

Optimize consistency and coverage.

Graphics

causalHyperGraph

Draw causal hypergraph plots.

Events

Upcoming
Upcoming · Online · KOMEX

Coincidence Analysis for Causal Learning

Recent past
  • 5th Conference · Berkeley

    Current Issues in Coincidence Analysis

    Jun 12–13, 2026
  • Training · Berkeley

    Introduction to Causal Data Analysis & Modeling with CNA

    Jun 8–11, 2026
  • 4th Conference · Copenhagen

    Current Issues in Coincidence Analysis

    May 23–24, 2025
  • 3rd Conference · Chicago

    Current Issues in Coincidence Analysis

    May 24–25, 2024
All events →

Coincidence Analysis

CNA is a configurational comparative method of causal inference and data analysis. This is the community hub for CNA users worldwide.

Contact

info@cna-method.com

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