2023 - Research.com Economics and Finance in Sweden Leader Award
2022 - Research.com Social Sciences and Humanities in Sweden Leader Award
Magnus Johannesson mainly investigates Genome-wide association study, Actuarial science, Genetics, Social psychology and Contingent valuation. His Genome-wide association study research is multidisciplinary, incorporating elements of Polymorphism, Quantitative trait locus, Genetic architecture, Genetic association and Educational attainment. His Actuarial science study incorporates themes from Health care, Decision tree, Optimal decision, Risk analysis and Decision rule.
In the field of Social psychology, his study on Dictator game and Deception overlaps with subjects such as Lying and Variation. His work carried out in the field of Contingent valuation brings together such families of science as Cost–benefit analysis, Certainty and Test. His Publication bias study in the realm of Meta-analysis connects with subjects such as Reproducibility Project.
Magnus Johannesson spends much of his time researching Actuarial science, Willingness to pay, Social psychology, Demography and Econometrics. His work in Actuarial science addresses subjects such as Health care, which are connected to disciplines such as Public economics. His work on Contingent valuation as part of general Willingness to pay study is frequently connected to Value, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
A large part of his Social psychology studies is devoted to Dictator game. His study connects Digit ratio and Demography. His Cost–benefit analysis research includes themes of Health economics and Economic evaluation.
Magnus Johannesson mainly focuses on Genome-wide association study, Replication, Genetics, Statistics and Demography. His Genome-wide association study research integrates issues from Neuroticism, Genetic association, Behavioural genetics and Heritability. Within one scientific family, Magnus Johannesson focuses on topics pertaining to Scale under Replication, and may sometimes address concerns connected to Pooling.
His Genetics study frequently draws connections to other fields, such as Educational attainment. His work in the fields of Statistics, such as Statistical power, Statistical significance and Equivalence, overlaps with other areas such as Time pressure. The Statistical significance study combines topics in areas such as Replication crisis, p-value and Reproducibility.
His main research concerns Genome-wide association study, Genetics, Statistics, Heritability and Meta-analysis. His Genome-wide association study study integrates concerns from other disciplines, such as Quantitative trait locus, Neuroticism and Computational biology. His Statistics research incorporates themes from Prospect theory and Experimental economics.
His research in Heritability intersects with topics in Genetic correlation and Missing heritability problem. When carried out as part of a general Meta-analysis research project, his work on Publication bias is frequently linked to work in Experimental Laboratories and Research evidence, therefore connecting diverse disciplines of study. Magnus Johannesson has researched Behavioural genetics in several fields, including Phenotype, Candidate gene, Educational attainment and Gene–environment interaction.
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Estimating the reproducibility of psychological science
Alexander A. Aarts;Joanna E. Anderson;Christopher J. Anderson;Peter R. Attridge;Peter R. Attridge.
Redefine statistical significance
Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek.
Nature Human Behaviour (2018)
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
James J. Lee;Robbee Wedow;Aysu Okbay;Edward Kong.
Nature Genetics (2018)
Principles of Good Practice for Decision Analytic Modeling in Health-Care Evaluation: Report of the ISPOR Task Force on Good Research Practices—Modeling Studies
Milton C. Weinstein;Bernie O'Brien;John Hornberger;Joseph Jackson.
Value in Health (2003)
Genome-wide association study identifies 74 loci associated with educational attainment
Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee.
Evaluating replicability of laboratory experiments in Economics
Colin Camerer;Anna Dreber;Eskil Forsell;Teck Ho.
Research Papers in Economics (2016)
Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015
Colin F. Camerer;Anna Dreber;Felix Holzmeister;Teck-Hua Ho.
Nature Human Behaviour (2018)
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Cornelius A. Rietveld;Sarah E. Medland;Jaime Lane Derringer;Jian Yang.
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
Aysu Okbay;Bart M L Baselmans;Jan-Emmanuel De Neve;Patrick Turley.
Nature Genetics (2016)
Pride and Prejudice: The Human Side of Incentive Theory
Tore Ellingsen;Magnus Johannesson.
The American Economic Review (2008)
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