Chan, An-Wen

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

Sterne, J. A., Hernán, M. A., Reeves, B. C., Savović, J., Berkman, N. D., Viswanathan, M., Henry, D., Altman, D. G., Ansari, M. T., Boutron, I., et al. (2016) · BMJ

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 20,329

SPIRIT 2013 Statement: Defining Standard Protocol Items for Clinical Trials

Chan, A.-W., Tetzlaff, J. M., Altman, D. G., Laupacis, A., Gøtzsche, P. C., Krleža-Jerić, K., Hróbjartsson, A., Mann, H., Dickersin, K., Berlin, J. A., et al. (2013) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 7,363

Empirical Evidence for Selective Reporting of Outcomes in Randomized Trials: Comparison of Protocols to Published Articles

Chan, A.-W., Hróbjartsson, A., Haahr, M. T., Gøtzsche, P. C., & Altman, D. G. (2004) · JAMA

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 1,845

Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias

Dwan, K., Altman, D. G., Arnaiz, J. A., Bloom, J., Chan, A.-W., Cronin, E., Decullier, E., Easterbrook, P. J., Von Elm, E., Gamble, C., et al. (2008) · PLoS ONE

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 1,546

CONSORT 2025 statement: updated guideline for reporting randomised trials

Hopewell, S., Chan, A.-W., Collins, G. S., Hróbjartsson, A., Moher, D., Schulz, K. F., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · BMJ

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 1,195

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Cruz Rivera, S., Liu, X., Chan, A.-W., Denniston, A. K., Calvert, M. J., The SPIRIT-AI and CONSORT-AI Working Group, SPIRIT-AI and CONSORT-AI Steering Group, Darzi, A., Holmes, C., Yau, C., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 933

Increasing value and reducing waste: addressing inaccessible research

Chan, A.-W., Song, F., Vickers, A., Jefferson, T., Dickersin, K., Gøtzsche, P. C., Krumholz, H. M., Ghersi, D., & van der Worp, H. B. (2014) · The Lancet

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 887

Guidelines for Reporting Outcomes in Trial Reports: The CONSORT-Outcomes 2022 Extension

Butcher, N. J., Monsour, A., Mew, E. J., Chan, A.-W., Moher, D., Mayo-Wilson, E., Terwee, C. B., Chee-A-Tow, A., Baba, A., Gavin, F., et al. (2022) · JAMA

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 719

Identifying outcome reporting bias in randomised trials on PubMed: review of publications and survey of authors

Chan, A.-W., & Altman, D. G. (2005) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 613

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Liu, X., Cruz Rivera, S., Moher, D., Calvert, M. J., Denniston, A. K., Ashrafian, H., Beam, A. L., Chan, A.-W., Collins, G. S., Deeks, A. D. J., et al. (2020) · The Lancet Digital Health

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 555

CONSORT 2025 statement: updated guideline for reporting randomised trials

Hopewell, S., Chan, A.-W., Collins, G. S., Hróbjartsson, A., Moher, D., Schulz, K. F., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · The Lancet

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 510

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Cruz Rivera, S., Liu, X., Chan, A.-W., Denniston, A. K., Calvert, M. J., Ashrafian, H., Beam, A. L., Collins, G. S., Darzi, A., Deeks, J. J., et al. (2020) · The Lancet Digital Health

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 486

Epidemiology and reporting of randomised trials published in PubMed journals

Chan, A.-W., & Altman, D. G. (2005) · The Lancet

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 474

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

Rivera, S. C., Liu, X., Chan, A.-W., Denniston, A. K., & Calvert, M. J. (2020) · BMJ

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 463

SPIRIT 2025 statement: updated guideline for protocols of randomised trials

Chan, A.-W., Boutron, I., Hopewell, S., Moher, D., Schulz, K. F., Collins, G. S., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · BMJ

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 460

SPIRIT 2013: new guidance for content of clinical trial protocols

Chan, A.-W., Tetzlaff, J. M., Altman, D. G., Dickersin, K., & Moher, D. (2013) · The Lancet

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 298

Ghost Authorship in Industry-Initiated Randomised Trials

Gøtzsche, P. C., Hróbjartsson, A., Johansen, H. K., Haahr, M. T., Altman, D. G., & Chan, A.-W. (2007) · PLoS Medicine

Pharmaceutical industry and healthcareAcademic integrity and plagiarism

Cited by 289

Guidelines for Reporting Outcomes in Trial Protocols: The SPIRIT-Outcomes 2022 Extension

Butcher, N. J., Monsour, A., Mew, E. J., Chan, A.-W., Moher, D., Mayo-Wilson, E., Terwee, C. B., Chee-A-Tow, A., Baba, A., Gavin, F., et al. (2022) · JAMA

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 288

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

CONSORT 2025 explanation and elaboration: updated guideline for reporting randomised trials

Hopewell, S., Chan, A.-W., Collins, G. S., Hróbjartsson, A., Moher, D., Schulz, K. F., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 205

SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials

Hróbjartsson, A., Boutron, I., Hopewell, S., Moher, D., Schulz, K. F., Collins, G. S., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., et al. (2025) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 171

Clinical trial registration: transparency is the watchword

Sim, I., Chan, A.-W., Gülmezoglu, A. M., Evans, T., & Pang, T. (2006) · The Lancet

Pharmaceutical industry and healthcareEthics in Clinical Research

Cited by 165

Standard Protocol Items for Clinical Trials with Traditional Chinese Medicine 2018: Recommendations, Explanation and Elaboration (SPIRIT-TCM Extension 2018)

Dai, L., Cheng, C.-W., Tian, R., Zhong, L. L., Li, Y.-P., Lyu, A.-P., Chan, A.-W., Shang, H.-C., & Bian, Z.-X. (2019) · Chinese Journal of Integrative Medicine

Meta-analysis and systematic reviewsTraditional Chinese Medicine Clinical Research

Cited by 145

Outcome reporting bias in trials: a methodological approach for assessment and adjustment in systematic reviews

Kirkham, J. J., Altman, D. G., Chan, A.-W., Gamble, C., Dwan, K. M., & Williamson, P. R. (2018) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 144