Higgins, Julian P. T.
University of Bristol
121 papers on CoChatORCID 0000-0002-8323-2514
Most cited papers
- Verified
Assessing risk of bias in a non‐randomized study
Sterne, J. A., Hernán, M. A., McAleenan, A., Reeves, B. C., & Higgins, J. P. (2019) · Cochrane Handbook for Systematic Reviews of Interventions
Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques
Cited by 330
- Verified
Comparative Efficacy and Acceptability of 21 Antidepressant Drugs for the Acute Treatment of Adults With Major Depressive Disorder: A Systematic Review and Network Meta-Analysis
Cipriani, A., Furukawa, T. A., Salanti, G., Chaimani, A., Atkinson, L. Z., Ogawa, Y., Leucht, S., Ruhe, H. G., Turner, E. H., Higgins, J. P. T., et al. (2018) · Focus
Treatment of Major DepressionMental Health Treatment and Access
Cited by 328
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Living systematic reviews: 4. Living guideline recommendations.
Akl, E. A., Meerpohl, J. J., Elliott, J., Kahale, L. A., Schünemann, H. J., Agoritsas, T., Hilton, J., Perron, C., Akl, E., Hodder, R., et al. (2017) · Journal of Clinical Epidemiology
Clinical practice guidelines implementationMeta-analysis and systematic reviews
Cited by 328
- Verified
Synthesising quantitative evidence in systematic reviews of complex health interventions
Higgins, J. P. T., López-López, J. A., Becker, B. J., Davies, S. R., Dawson, S., Grimshaw, J. M., McGuinness, L. A., Moore, T. H. M., Rehfuess, E. A., Thomas, J., et al. (2019) · BMJ Global Health
Meta-analysis and systematic reviewsHealth Policy Implementation Science
Cited by 322
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Impact of blinding on estimated treatment effects in randomised clinical trials: meta-epidemiological study
Moustgaard, H., Clayton, G. L., Jones, H. E., Boutron, I., Jørgensen, L., Laursen, D. R. T., Olsen, M. F., Paludan-Müller, A., Ravaud, P., Savović, J., et al. (2020) · BMJ
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 300
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Investigating and dealing with publication bias and other reporting biases in meta-analyses of health research: a review
Page, M. J., Sterne, J. A. C., Higgins, J. P. T., & Egger, M. (2021) · Research Synthesis Methods
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 294
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Dealing with effect size multiplicity in systematic reviews and meta‐analyses
López‐López, J. A., Page, M. J., Lipsey, M. W., & Higgins, J. P. T. (2018) · Research Synthesis Methods
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 294
- Verified
A re‐evaluation of fixed effect(s) meta‐analysis
Rice, K., Higgins, J. P. T., & Lumley, T. (2018) · Journal of the Royal Statistical Society Series A: Statistics in Society
Meta-analysis and systematic reviewsStatistical Methods and Bayesian Inference
Cited by 287
- Verified
Biases in Randomized Trials: A Conversation Between Trialists and Epidemiologists
Mansournia, M. A., Higgins, J. P. T., Sterne, J. A. C., & Hernán, M. A. (2017) · Epidemiology
Advanced Causal Inference TechniquesMeta-analysis and systematic reviews
Cited by 285
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Empirical Evidence of Study Design Biases in Randomized Trials: Systematic Review of Meta-Epidemiological Studies
Page, M. J., Higgins, J. P. T., Clayton, G., Sterne, J. A. C., Hróbjartsson, A., & Savović, J. (2016) · PLOS ONE
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 284
- Verified
Tools for assessing risk of reporting biases in studies and syntheses of studies: a systematic review
Page, M. J., McKenzie, J. E., & Higgins, J. P. T. (2018) · BMJ Open
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 278
- Verified
Assessing baseline imbalance in randomised trials: implications for the Cochrane risk of bias tool: Baseline imbalance assessment and risk of bias
Corbett, M. S., Higgins, J. P. T., & Woolacott, N. F. (2014) · Research Synthesis Methods
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 273
- Verified
Using Risk of Bias 2 to assess results from randomised controlled trials: guidance from Cochrane
Flemyng, E., Moore, T. H., Boutron, I., Higgins, J. P., Hróbjartsson, A., Nejstgaard, C. H., & Dwan, K. (2023) · BMJ Evidence-Based Medicine
Meta-analysis and systematic reviewsDelphi Technique in Research
Cited by 264
- Verified
Considering bias and conflicts of interest among the included studies
Boutron, I., Page, M. J., Higgins, J. P., Altman, D. G., Lundh, A., Hróbjartsson, A., & on behalf of the Cochrane Bias Methods Group (2019) · Cochrane Handbook for Systematic Reviews of Interventions
Meta-analysis and systematic reviewsPharmaceutical industry and healthcare
Cited by 258
- Verified
Fixed-effect versus random-effects models
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · Introduction to Meta‐Analysis
Meta-analysis and systematic reviewsStatistical Methods and Bayesian Inference
Cited by 247
- Verified
A road map for efficient and reliable human genome epidemiology.
The Human Genome Epidemiology Network and the Network of Investigator Networks, Ioannidis, J. P. A., Gwinn, M., Little, J., Higgins, J. P. T., Bernstein, J. L., Boffetta, P., Bondy, M., Bray, M. S., Brenchley, P. E., et al. (2006) · Nature Genetics
Genetic Associations and EpidemiologyMeta-analysis and systematic reviews
Cited by 244
- Verified
Methods to calculate uncertainty in the estimated overall effect size from a random‐effects meta‐analysis
Veroniki, A. A., Jackson, D., Bender, R., Kuss, O., Langan, D., Higgins, J. P. T., Knapp, G., & Salanti, G. (2019) · Research Synthesis Methods
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 236
- Verified
Graphical displays for meta-analysis: An overview with suggestions for practice
Anzures‐Cabrera, J., & Higgins, J. P. T. (2010) · Research Synthesis Methods
Meta-analysis and systematic reviewsData Visualization and Analytics
Cited by 233
- Verified
Obstacles and opportunities in meta-analysis of genetic association studies
Salanti, G., Sanderson, S., & Higgins, J. P. T. (2005) · Genetics in Medicine
Meta-analysis and systematic reviewsGenetic Associations and Epidemiology
Cited by 196
- Verified
The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: update of living systematic review
John, A., Eyles, E., Webb, R. T., Okolie, C., Schmidt, L., Arensman, E., Hawton, K., O'Connor, R. C., Kapur, N., Moran, P., et al. (2021) · F1000Research
Suicide and Self-Harm StudiesCOVID-19 and Mental Health
Cited by 189
- Verified
Evidence for the Selective Reporting of Analyses and Discrepancies in Clinical Trials: A Systematic Review of Cohort Studies of Clinical Trials
Dwan, K., Altman, D. G., Clarke, M., Gamble, C., Higgins, J. P. T., Sterne, J. A. C., Williamson, P. R., & Kirkham, J. J. (2014) · PLoS Medicine
Meta-analysis and systematic reviewsPharmaceutical industry and healthcare
Cited by 187
- Verified
Issues relating to study design and risk of bias when including non‐randomized studies in systematic reviews on the effects of interventions
Higgins, J. P., Ramsay, C., Reeves, B. C., Deeks, J. J., Shea, B., Valentine, J. C., Tugwell, P., & Wells, G. (2013) · Research Synthesis Methods
Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques
Cited by 183
- Verified · note
The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: a living systematic review
John, A., Okolie, C., Eyles, E., Webb, R. T., Schmidt, L., McGuinness, L. A., Olorisade, B. K., Arensman, E., Hawton, K., Kapur, N., et al. (2020) · F1000Research
Suicide and Self-Harm StudiesCOVID-19 and Mental Health
Cited by 178
- Verified
Can meta-analysis help target interventions at individuals most likely to benefit?
Thompson, S. G., & Higgins, J. P. (2005) · The Lancet
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 174
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