Coincidence Analysis

Coincidence analysis: a new method for causal inference in ...

A new mathematical, cross-case method called Coincidence Analysis (CNA) that has been designed explicitly to support causal inference.

Coincidence Analysis | University of Bergen

Coincidence Analysis (CNA) is a configurational comparative method of causal inference and data analysis that groups causes into bundles that are jointly ...

a new method for causal inference in implementation science

A new mathematical, cross-case method called Coincidence Analysis (CNA) that has been designed explicitly to support causal inference.

Coincidence Analysis: An Introduction - CPCRN

Conducting Configurational Comparative Research with Qualitative Comparative Analysis. American Journal of Evaluation. Baumgartner M, Thiem A. QUERI ...

cna: Causal Modeling with Coincidence Analysis - R Project

The cna function performs Coincidence Analysis to identify atomic solution formulas (asf) consist- ing of minimally necessary disjunctions of ...

Using Coincidence Analysis to Identify Causal Chains of Factors ...

This study of multiple case study compared Lynch syndrome universal tumor screening (UTS) to understand multi-level factors that may impact the successful ...

Causal Modeling with Multi-Value and Fuzzy-Set Coincidence ...

Coincidence Analysis (CNA) is a configurational comparative method of causal data analysis that is related to Qualitative Comparative Analysis (QCA) but, ...

Introduction to Causal Data Analysis and Modeling ... - COMPASSS

This workshop offers an intensive 4-day introduction to causal modeling with Coincidence Analysis (CNA), a novel configurational comparative method of data ...

Identifying Complex Causal Dependencies in Configurational Data ...

with Coincidence Analysis by Michael Baumgartner and Alrik Thiem. Abstract We present cna, a package for performing Coincidence Analysis (CNA). CNA is a ...

Introduction to Causal Data Analysis & Modeling with Coincidence ...

Main content ... This workshop offers an intensive 4-day introduction to causal modeling with Coincidence Analysis (CNA), a novel configurational ...

Causal modeling with multi-value and fuzzy-set Coincidence Analysis

This paper generalizes CNA for multi-value variables as well as continuous variables whose values are interpreted as membership scores in fuzzy sets.

a coincidence analysis of obesity treatment options within the ...

Study aim was to explore the relationship between configurations of three types of obesity treatments, context, and population impact across VHA using ...

Coincidence Analysis (CNA):

Methods: Coincidence Analysis. •Small to large sample sizes. •Purposive sampling. •Quantitative or qualitative data. •Combinations of one or more factors ...

Data Imbalances in Coincidence Analysis: A Simulation Study

We show that even extreme data imbalances, when not combined with fragmentation or noise, do not negatively affect CNA's performance. However, an extended ...

A Novel Approach to Modeling Nurses' Workplace Experience

Coincidence Analysis: A Novel Approach to Modeling Nurses' Workplace Experience. Appl Clin Inform. 2022 Aug;13(4):794-802. doi: 10.1055/s ...

Correction to: Coincidence analysis: a new method for causal ...

Correction to: Coincidence analysis: a new method for causal inference in implementation science ... Following publication of the original article ...

Coincidence Analysis - Stata

I will present today an analysis of characters in picture albums. Page 4. Coincidence. M.Escobar. Introduction. Definitions.

A Hidden Variable Model for Distance Metric Learning - NIPS papers

Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning. Part of Advances in Neural Information Processing Systems 25 (NIPS 2012).

3rd International Conference on Current Issues in Coincidence ...

The third edition of this international conference on Coincidence Analysis provides a platform for exchange between CNA methodologists and applied ...

Event coincidence analysis for quantifying statistical ...

Studying event time series is a powerful approach for analyzing the dynamics of complex dynamical systems in many fields of science.