Check decision sciences papers: citations, claims and retractions

p-Curve and p-Hacking in Observational Research

Bruns, S. B., & Ioannidis, J. P. A. (2016) · PLOS ONE

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 210

A systematic comparison of software dedicated to meta-analysis of causal studies

Bax, L., Yu, L.-M., Ikeda, N., & Moons, K. G. (2007) · BMC Medical Research Methodology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 210

A Technology Readiness-Based Taxonomy of Customers: A Replication and Extension

Tsikriktsis, N. (2004) · Journal of Service Research

Technology Adoption and User BehaviourCustomer Service Quality and Loyalty

Cited by 210

Customer online shopping anxiety within the Unified Theory of Acceptance and Use Technology (UTAUT) framework

Celik, H. (2016) · Asia Pacific Journal of Marketing and Logistics

Technology Adoption and User BehaviourConsumer Behavior and Marketing Influence

Cited by 209

Taking healthcare interventions from trial to practice

Glasziou, P., Chalmers, I., Altman, D. G., Bastian, H., Boutron, I., Brice, A., Jamtvedt, G., Farmer, A., Ghersi, D., Groves, T., et al. (2010) · BMJ

Meta-analysis and systematic reviewsHealth Policy Implementation Science

Cited by 209

The role of evidence in politics: Motivated reasoning and persuasion among politicians.

Baekgaard, M., Christensen, J., Dahlmann, C. M., Mathiasen, A., & Petersen, N. B. G. (2019) · British Journal of Political Science

Decision-Making and Behavioral EconomicsElectoral Systems and Political Participation

Cited by 209

An observational study found that authors of randomized controlled trials frequently use concealment of randomization and blinding, despite the failure to report these methods

Devereaux, P. J., Choi, P. T.-L., El-Dika, S., Bhandari, M., Montori, V. M., Schünemann, H. J., Garg, A. X., Busse, J. W., Heels-Ansdell, D., Ghali, W. A., et al. (2004) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 209

The impact of privacy concern on user adoption of location-based services

Zhou, T. (2011) · Industrial Management & Data Systems

Technology Adoption and User BehaviourPrivacy, Security, and Data Protection

Cited by 209

Selective reporting bias of harm outcomes within studies: findings from a cohort of systematic reviews

Saini, P., Loke, Y. K., Gamble, C., Altman, D. G., Williamson, P. R., & Kirkham, J. J. (2014) · BMJ

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 209

Interpersonal Traits, Complementarity, and Trust in Virtual Collaboration

BROWN, H. G., POOLE, M. S., & RODGERS, T. L. (2004) · Journal of Management Information Systems

Technology Adoption and User BehaviourTeam Dynamics and Performance

Cited by 209

Comparison of descriptions of allocation concealment in trial protocols and the published reports: cohort study

Pildal, J., Chan, A.-W., Hróbjartsson, A., Forfang, E., Altman, D. G., & Gøtzsche, P. C. (2005) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 209

Does Publication Bias Inflate the Apparent Efficacy of Psychological Treatment for Major Depressive Disorder? A Systematic Review and Meta-Analysis of US National Institutes of Health-Funded Trials

Driessen, E., Hollon, S. D., Bockting, C. L. H., Cuijpers, P., & Turner, E. H. (2015) · PLOS ONE

Meta-analysis and systematic reviewsPsychotherapy Techniques and Applications

Cited by 208

Towards reproducible computational drug discovery

Schaduangrat, N., Lampa, S., Simeon, S., Gleeson, M. P., Spjuth, O., & Nantasenamat, C. (2020) · Journal of Cheminformatics

Scientific Computing and Data ManagementComputational Drug Discovery Methods

Cited by 208

Low statistical power in biomedical science: a review of three human research domains

Dumas-Mallet, E., Button, K. S., Boraud, T., Gonon, F., & Munafò, M. R. (2017) · Royal Society Open Science

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 208

Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective

Gupta, K., & Arora, N. (2019) · South Asian Journal of Business Studies

Technology Adoption and User BehaviourHealth, Technology, Consumer Behavior

Cited by 208

Exploring personal computer adoption dynamics

Lin, C. A. (1998) · Journal of Broadcasting & Electronic Media

Technology Adoption and User BehaviourInnovation Diffusion and Forecasting

Cited by 208

PROMIS fatigue, pain intensity, pain interference, pain behavior, physical function, depression, anxiety, and anger scales demonstrate ecological validity

Stone, A. A., Broderick, J. E., Junghaenel, D. U., Schneider, S., & Schwartz, J. E. (2016) · Journal of Clinical Epidemiology

Psychometric Methodologies and TestingCancer survivorship and care

Cited by 207

The Malleability of Intertemporal Choice

Lempert, K. M., & Phelps, E. A. (2016) · Trends in Cognitive Sciences

Decision-Making and Behavioral EconomicsNeural and Behavioral Psychology Studies

Cited by 207

Adjustment of meta-analyses on the basis of quality scores should be abandoned

Herbison, P., Hay-Smith, J., & Gillespie, W. J. (2006) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 207

Patient-reported outcomes in randomized clinical trials: development of ISOQOL reporting standards

Brundage, M., Blazeby, J., Revicki, D., Bass, B., de Vet, H., Duffy, H., Efficace, F., King, M., Lam, C. L. K., Moher, D., et al. (2013) · Quality of Life Research

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 207

Consumers’ intentions to use online food delivery systems in the USA

Gunden, N., Morosan, C., & DeFranco, A. (2020) · International Journal of Contemporary Hospitality Management

Technology Adoption and User BehaviourConsumer Behavior and Marketing Influence

Cited by 207

A simple and valid tool distinguished efficacy from effectiveness studies

Gartlehner, G., Hansen, R. A., Nissman, D., Lohr, K. N., & Carey, T. S. (2006) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 207

Interplay of approximate planning strategies

Huys, Q. J. M., Lally, N., Faulkner, P., Eshel, N., Seifritz, E., Gershman, S. J., Dayan, P., & Roiser, J. P. (2015) · Proceedings of the National Academy of Sciences

Decision-Making and Behavioral EconomicsAI-based Problem Solving and Planning

Cited by 207

Better duplicate detection for systematic reviewers: evaluation of Systematic Review Assistant-Deduplication Module

Rathbone, J., Carter, M., Hoffmann, T., & Glasziou, P. (2015) · Systematic Reviews

Meta-analysis and systematic reviewsData Quality and Management

Cited by 206