In Causal Inference: The Mixtape, Scott Cunningham offers a new guide to methods for determining cause and effect in the social sciences. In summarising, systematising and prioritising methodological tools for researchers, this book will be of use to all social scientists looking to validate their quantitative findings, recommends Simeon Mitropolitski. Causal Inference: The Mixtape. Scott Cunningham. Yale University Press. 2021
This book compiles and presents new developments in statistical causal inference. The accompanying d...
NoCausal inference is perhaps the most important form of reasoning in the sciences. A panoply of dis...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...
In Causal Inference: The Mixtape, Scott Cunningham offers a new guide to methods for determining cau...
This book seeks to integrate research on cause and effect inference from cog-nitive science, econome...
There is a need for integrated thinking about causality, probability and mechanisms in scientific me...
Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disci...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154956/1/insr12369.pd
Book review of 'Making Things Happen: A Theory of Causal Explanation', by James Woodward. Oxford and...
Book edition of the journal Information Knowldge Systems Management, Volume 10 (2011), ISSN 1389-199
A state of the art volume on statistical causality Causality: Statistical Perspectives and Applicati...
"Most quantitative empirical analyses are motivated by the desire to estimate the causal effect of a...
Social scientists often estimate models from correlational data, where the independent variable has ...
Book synopsis: Causal reasoning is one of our most central cognitive competencies, enabling us to ad...
Experiments have always been the way to study what the effect is of interventions. Causal inference ...
This book compiles and presents new developments in statistical causal inference. The accompanying d...
NoCausal inference is perhaps the most important form of reasoning in the sciences. A panoply of dis...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...
In Causal Inference: The Mixtape, Scott Cunningham offers a new guide to methods for determining cau...
This book seeks to integrate research on cause and effect inference from cog-nitive science, econome...
There is a need for integrated thinking about causality, probability and mechanisms in scientific me...
Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disci...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154956/1/insr12369.pd
Book review of 'Making Things Happen: A Theory of Causal Explanation', by James Woodward. Oxford and...
Book edition of the journal Information Knowldge Systems Management, Volume 10 (2011), ISSN 1389-199
A state of the art volume on statistical causality Causality: Statistical Perspectives and Applicati...
"Most quantitative empirical analyses are motivated by the desire to estimate the causal effect of a...
Social scientists often estimate models from correlational data, where the independent variable has ...
Book synopsis: Causal reasoning is one of our most central cognitive competencies, enabling us to ad...
Experiments have always been the way to study what the effect is of interventions. Causal inference ...
This book compiles and presents new developments in statistical causal inference. The accompanying d...
NoCausal inference is perhaps the most important form of reasoning in the sciences. A panoply of dis...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...