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A tutorial on sensitivity analyses in clinical trials: the what, why, when and how
Open accessAbstract
BACKGROUND: Sensitivity analyses play a crucial role in assessing the robustness of the findings or conclusions based on primary analyses of data in clinical trials. They are a critical way to assess the impact, effect or influence of key assumptions or variations--such as different methods of analysis, definitions of outcomes, protocol deviations, missing data, and outliers--on the overall conclusions of a study.The current paper is the second in a series of tutorial-type manuscripts intended to discuss and clarify aspects related to key methodological issues in the design and analysis of clinical trials. DISCUSSION: In this paper we will provide a detailed exploration of the key aspects of sensitivity analyses including: 1) what sensitivity analyses are, why they are needed, and how often they are used in practice; 2) the different types of sensitivity analyses that one can do, with examples from the literature; 3) some frequently asked questions about sensitivity analyses; and 4) some suggestions on how to report the results of sensitivity analyses in clinical trials. SUMMARY: When reporting on a clinical trial, we recommend including planned or posthoc sensitivity analyses, the corresponding rationale and results along with the discussion of the consequences of these analyses on the overall findings of the study.
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“To test the robustness of the data analysis strategy (given missing data associated with participant attrition), for variables that showed a significant change from T1 to T3 (for any group), a post-hoc sensitivity analysis involving multiple imputation by chained equations was performed using the mice package in R [85, 87].”
From Optimizing parenting and child outcomes following parent–child interaction therapy – toddler: a randomized controlled trial (2024) · cites this paper as [85]
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“Additionally, a complete-case analysis was conducted as a sensitivity analysis on observed data to corroborate the assumption of data missing at random [94].”
From Lessons Learned from an Attempted Pragmatic Randomized Controlled Trial for Improvement of Chronic Pain-Associated Disability in Green Professions: Long-Term Effectiveness of a Guided Online-Based Acceptance and Commitment Therapy (PACT-A) (2022) · cites this paper as [94]
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“The generality of a researcher's results under alternative relevant approaches can be checked via robustness analyses (e.g., Thabane et al., 2013, also called sensitivity or multiverse analyses) that indicate how research results vary as a function of reasonable data exclusions and alternative sensible data coding, aggregation, and analysis approaches.”
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“Missing data will be handled following the authors’ recommendations, using the most appropriate method depending on the reasons for the missing data and the sensitivity analysis principles.57”
From Effectiveness of a projection-based augmented reality exposure system in treating cockroach phobia: Study protocol of a randomised controlled trial (2023) · cites this paper as [57]
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Citations
Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
Missing data analysis: making it work in the real world
Graham, J. W. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085530 · Cited by 6,163
Analysis of Incomplete Multivariate Data
Schafer, J. L. (1997) · doi:10.1201/9781439821862 · Cited by 6,012
Analysis of Incomplete Multivariate Data
Booth, D. E., & Schafer, J. L. (2000) · Technometrics · doi:10.2307/1271466 · Cited by 5,627
Procedures for Detecting Outlying Observations in Samples
Grubbs, F. E. (1969) · Technometrics · doi:10.1080/00401706.1969.10490657 · Cited by 4,105
A tutorial on pilot studies: the what, why and how
Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., Robson, R., Thabane, M., Giangregorio, L., & Goldsmith, C. H. (2010) · BMC Medical Research Methodology · doi:10.1186/1471-2288-10-1 · Cited by 3,384
Self-citationHilbe, J. M. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511973420 · Cited by 3,352
Research works printed but not linked: 2
- Goldsmith CH, Gafni A, Drummond MF, Torrance GW, Stoddart GL: Sensitivity Analysis and Experimental Design: The Case of Economic Evaluation of Health Care Programmes. Proceedings of the Third Canadian Conference on Health Economics 1986. 1987, Winnipeg MB: The University of Manitoba Press
- Spiegelhalter DJ, Best NG, Lunn D, Thomas A: Bayesian Analysis using BUGS: A Practical Introduction. 2009, New York, NY: Chapman and Hall
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van Groesen, N. R. A., Briaire, J. J., de Jong, M. A. M., & Frijns, J. H. M. (2022) · Ear and Hearing · doi:10.1097/aud.0000000000001282 · Cited by 13
Hackl, G., Jud, P., Avian, A., Gary, T., Deutschmann, H., Seinost, G., Brodmann, M., & Hafner, F. (2016) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2016.05.011 · Cited by 13
Hakamata, Y., Mizukami, S., Komi, S., Sato, E., Moriguchi, Y., Motomura, Y., Maruo, K., Izawa, S., Kim, Y., Hanakawa, T., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.06.018 · Cited by 13
Paengsai, N., Jourdain, G., Chaiwarith, R., Tantraworasin, A., Bowonwatanuwong, C., Bhakeecheep, S., Cressey, T. R., Mary, J., Salvadori, N., & Kosachunhanun, N. (2018) · BMC Public Health · doi:10.1186/s12889-018-5967-7 · Cited by 13
Lin, C., Chan, H., Hsu, C., & Chen, F.-C. (2020) · Scientific Reports · doi:10.1038/s41598-020-75022-8 · Cited by 13
Pant, D., Øystein Nytrø, A., LEVENTHAL, B. L., Clausen, C. E., Koochakpour, K., Stien, L., Westbye, O. S., Koposov, R. A., Røst, T. B., Frodl, T., et al. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-025-03021-8 · Cited by 14
O’Keefe, G. E., Brown, S. P., Shelton, M., Qiu, Q., Bisgaard, E., Wilson, I. M., Robinson, J. L., Roubik, D. J., Malloy, A., & May, S. J. (2025) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0000000000004745 · Cited by 12
Pérez, M. C., Minoyan, N., Ridde, V., Sylvestre, M., & Johri, M. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0351-0 · Cited by 12
Shiferaw, A. B., Kumie, A., & Tefera, W. M. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1090405 · Cited by 12
Baykemagn, F. T., Abreha, G. F., Zelelow, Y. B., Berhe, A. K., & Kahsay, A. B. (2024) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-023-06199-9 · Cited by 18
Talbot, C. F., Oztan, O., Simmons, S. M. V., Trainor, C., Ceniceros, L. C., Nguyen, D. K. K., Rosso, L. A. D., Garner, J. P., Capitanio, J. P., & Parker, K. J. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2418635121 · Cited by 12
Stern, E. R., Collins, K. A., Bragdon, L. B., Eng, G. K., Recchia, N., Coffey, B. J., Leibu, E., Murrough, J. W., Tobe, R. H., Iosifescu, D. V., et al. (2025) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20240294 · Cited by 12
Duan, Y., Liang, W., Guo, L., Zhan, H., Xia, C., Ma, H., Shang, B., Wang, Y., Yang, M., & Cheng, S. (2025) · Journal of Medical Internet Research · doi:10.2196/66249 · Cited by 20
Helmi, M. F., Goodson, J. M., Hastürk, H., & Natto, Z. S. (2020) · BMC Oral Health · doi:10.1186/s12903-020-1015-y · Cited by 12
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Shogren, K. A., Pace, J. R., Wittenburg, D., Raley, S. K., Hicks, T. A., Rifenbark, G. G., Lane, K. L., & Anderson, M. H. (2022) · Journal of Disability Policy Studies · doi:10.1177/10442073221094811 · Cited by 12
McKay, E., Kirk, H., Coxon, J. P., Courtney, D., Bellgrove, M. A., Arnatkevičiūtė, A., & Cornish, K. M. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-061626 · Cited by 15
Ester, M., Wagoner, C. W., Dreger, J., Chen, G., McDonough, M. H., McNeely, M. L., & Culos-Reed, S. N. (2023) · JMIR Cancer · doi:10.2196/47187 · Cited by 12
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Hill, E. V., Wake, M., Carapinha, R., Normand, S. T., Wolf, R. E., Norris, K. C., & Reede, J. Y. (2016) · Ethnicity & Disease · doi:10.18865/ed.26.2.245 · Cited by 12
Batista, K. B. D. S. L., Thiruvenkatachari, B., & O'Brien, K. D. (2018) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2018.08.013 · Cited by 12
Oztan, O., Talbot, C. F., Argilli, E., Maness, A. C., Simmons, S. M. V., Mohsin, N., Rosso, L. A. D., Garner, J. P., Sherr, E. H., Capitanio, J. P., et al. (2021) · Molecular Autism · doi:10.1186/s13229-021-00442-w · Cited by 12
Gender Bias in Pediatric Pain AssessmentPreprint
Earp, B. D., Monrad, J. T., LaFrance, M., Bargh, J. A., Cohen, L. L., & Richeson, J. A. (2018) · doi:10.31234/osf.io/pqg3a · Cited by 12
Xu, J., Wang, Y., He, Q., Xie, S., Feng, S., Xiaofei, W., Wang, W., & Sun, X. (2025) · BMC Medicine · doi:10.1186/s12916-025-04199-4 · Cited by 11
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Saito, T., Tomitaka, E., Toya, R., & Oya, N. (2019) · Clinical Oncology · doi:10.1016/j.clon.2019.03.042 · Cited by 11
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Gedel, I. A., & Nwulu, N. I. (2021) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v15i02.16749 · Cited by 11
Ramanpong, J., Wu, C., Yu, C.-P., & Tsai, M.-J. (2021) · Current Issues in Tourism · doi:10.1080/13683500.2021.1902286 · Cited by 11
Kisser, A., Knieriemen, J., Fasan, A., Eberle, K. E., Hogger, S., Werner, S., Taube, T., & Rasch, A. (2021) · The European Journal of Health Economics · doi:10.1007/s10198-021-01400-2 · Cited by 11
Mouravska, N., Zielinski, L., Bhatt, M., Sanger, N., Bawor, M., Dennis, B. B., Banfield, L. E., MacKillop, J. M., Paul, J., Worster, A., et al. (2017) · Systematic Reviews · doi:10.1186/s13643-017-0556-x · Cited by 11
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Ruissen, G. R., Liu, Y., Schmader, T., Lubans, D. R., Harden, S. M., Wolf, S. A., Rhodes, R. E., Dunlop, W. L., Puterman, E. M., Zumbo, B. D., et al. (2020) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12197 · Cited by 15
Post, R., Germans, M. R., Coert, B. A., Rinkel, G. J. E., Vandertop, W. P., & Verbaan, D. (2020) · Trials · doi:10.1186/s13063-020-4118-5 · Cited by 11
Kamikawa, Y., & Hayashi, H. (2020) · BMC Emergency Medicine · doi:10.1186/s12873-020-00383-2 · Cited by 12
Nahalomo, A., Iversen, P. O., Andreassen, B. A., Kaaya, A. N., Rukooko, A. B., Tushabe, G., Nateme, N. C., & Rukundo, P. M. (2022) · Current Developments in Nutrition · doi:10.1093/cdn/nzac005 · Cited by 11
Ito, M., Okumura, Y., Horikoshi, M., Kato, N., Oe, Y., Miyamae, M., Hirabayashi, N., Kanie, A., Nakagawa, A., & Ono, Y. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-0779-8 · Cited by 14
Kohlhoff, J., Wallace, N., Cibralic, S., Morgan, S., Briggs, N. E., McMahon, C., Hawkins, E., Druskin, L., Owen, C., Lieneman, C., et al. (2024) · BMC Psychology · doi:10.1186/s40359-024-02171-0 · Cited by 11
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Castro, R. A., Bortolini, M. A. T., Pascom, A. L. G., Ledesma, M. A., Sardi, J. J. L., Monteiro, M. V. D. C., Junqueira, S. P., & Fuentes, E. C. (2020) · Urogynecology · doi:10.1097/spv.0000000000000897 · Cited by 10
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Zhang, H., Cantó-Cerdán, M., Félix-Espinar, B., & del Barrio, J. L. A. (2025) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2025.02.038 · Cited by 10
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Pihlstrøm, H. K., Mjøen, G., Dahle, D. O., Pilz, S., Midtvedt, K., März, W., Abedini, S., Holme, I., Fellström, B., Jardine, A. G., et al. (2014) · Transplantation · doi:10.1097/tp.0000000000000205 · Cited by 10
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Khan, N. A., Torralba, K. D., & Aslam, F. (2021) · RMD Open · doi:10.1136/rmdopen-2021-001708 · Cited by 10
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Murphy, G. S., Szokol, J. W., Avram, M. J., Greenberg, S. B., Shear, T. D., Vender, J. S., & Landry, E. (2016) · Anesthesiology · doi:10.1097/aln.0000000000001107 · Cited by 10
Kovalchik, S. A., Martino, S. C., Collins, R. L., Shadel, W. G., D’Amico, E. J., & Becker, K. M. (2017) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998617738241 · Cited by 11
Saidi, O., Zoghlami, N., Bennett, K., Mosquera, P. A., Malouche, D., Capewell, S., Romdhane, H. B., & O’Flaherty, M. (2019) · International Journal for Equity in Health · doi:10.1186/s12939-019-1047-6 · Cited by 10
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Kirigia, J. M., Muthuri, R. N. D. K., & Nkanata, L. H. K. (2020) · Emerald Open Research · doi:10.35241/emeraldopenres.13822.1 · Cited by 10
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Sharrack, B., Petrie, J., Coles, A. J., & Snowden, J. A. (2022) · BMJ · doi:10.1136/bmj-2020-061514 · Cited by 10
Gloor, Y. S., Matthey, A., Sobo, K., Mouterde, M., Kosek, E., Pickering, G. P., Poloni, E. S., Cedraschi, C., Ehret, G., & Desmeules, J. A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.807773 · Cited by 11
Percy, A., Agus, A. M., Cole, J. C., Doherty, P., FOXCROFT, D. R., Harvey, S. A., McKay, M. T., Murphy, L., & Sumnall, H. R. (2019) · Prevention Science · doi:10.1007/s11121-019-0981-2 · Cited by 10
Borhan, S., Kennedy, C., Ioannidis, G., Παπαϊωάννου, Α., Adachi, J. D., & Thabane, L. (2020) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2020.100539 · Cited by 9
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Mayhew, E., Beresford, B., Fawcett, A. L., Aspinal, F., Mann, R., Bechtold, K. T., & Kanaan, M. N. (2018) · Health & Social Care in the Community · doi:10.1111/hsc.12696 · Cited by 9
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Chen, W. L., Li, T., Zou, G., Li, X., Shi, L., Feng, S., Shi, J., Zhou, F., Han, S., & Ling, L. (2016) · BMC Public Health · doi:10.1186/s12889-016-3268-6 · Cited by 9
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Mira, A., Díaz-García, A., Castilla, D., Campos, D., Romero, S., Bretón-López, J., García-Palacios, A., Baños, R., & Botella, C. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2099-2 · Cited by 9
Dumitrascu, C., Gys, C., Wille, S. M. R., Fernández, M. D. M. R., D’Hondt, D., Goethem, A. V., Rafelghem, B. V., Baetens, E., Jacobs, W., Neels, H. M., et al. (2023) · Drug Testing and Analysis · doi:10.1002/dta.3557 · Cited by 8
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Self-citationPegram, C., Diaz‐Ordaz, K., Brodbelt, D. C., Chang, Y., von Hekkel, A. F., Wu, C., Church, D. B., & O'Neill, D. G. (2024) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2024.106165 · Cited by 8
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Nitzan, A., & Orkibi, H. (2020) · Health & Social Care in the Community · doi:10.1111/hsc.12956 · Cited by 8
Nilsen, F. M., Frank, J. J., & Tulve, N. S. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17072361 · Cited by 11
Rogala, A., Szczepaniak, M., Michalak, N., & Andersson, G. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100322 · Cited by 8
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Ploeg, J., Markle‐Reid, M., Valaitis, R. K., Fisher, K., Ganann, R., Blais, J., Chambers, T., Connors, R., Gruneir, A., Légaré, F., et al. (2022) · BMC Geriatrics · doi:10.1186/s12877-021-02651-7 · Cited by 9
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Nowakowski, M. E., McCabe, R. E., & Busse, J. W. (2019) · Canadian Journal of Pain · doi:10.1080/24740527.2019.1615370 · Cited by 8
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Metadata
- Authors
- Thabane, L., Mbuagbaw, L., Zhang, S., Samaan, Z., Marcucci, M., Ye, C., Thabane, M., Giangregorio, L., Dennis, B., Kosa, D., Debono, V. B., Dillenburg, R., Fruci, V., Bawor, M., Lee, J., Wells, G., & Goldsmith, C. H.
- Affiliations
- Population Health Research Institute (CA)
- St. Joseph’s Healthcare Hamilton (CA)
- McMaster University (CA)
- GlaxoSmithKline (Canada) (CA)
- University of Waterloo (CA)
- Korea University (KR)
- University of Ottawa (CA)
- Simon Fraser University (CA)
- Corresponding author
- Thabane, Lehana
- ORCID
- Venue
- BMC Medical Research Methodology
- Published
- 2013-07-16
- Volume
- 13
- Issue
- 1
- Pages
- 92-92
- ISSN
- 1471-2288 (ISSN-L)
- PMC
- PMC3720188
- OpenAlex
- W2095437242
- Cited by
- 893
- References
- 76
- Citations by year
- 2026: 76 · 2025: 113 · 2024: 107 · 2023: 109 · 2022: 90 · 2021: 84 · 2020: 90 · 2019: 52 · 2018: 57 · 2017: 43 · 2016: 31 · 2015: 28 · 2014: 11 · 2013: 1
- FWCI
- 20.82
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Medical Research Methodology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- uO Research (University of Ottawa) (submittedVersion, public-domain)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- sensitivity analysis, clinical trials, missing data, outliers, protocol deviations, outcome definitions
- MeSH terms
- Clinical Trials as Topic, Humans, Outcome and Process Assessment, Health Care, Research Design, Sensitivity and Specificity
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