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Properties of permuted-block randomization in clinical trials
Abstract
This article describes some of the important statistical properties of the commonly used permuted-block design, also known simply as blocked-randomization. Under a permutation model for statistical tests, proper analyses should employ tests that incorporate the blocking used in the randomization. These include the block-stratified Mantel-Haenszel chi-square test for binary data, the blocked analysis of variance F test, and the blocked nonparametric linear rank test. It is common, however, to ignore the blocking in the analysis. For these tests, it is shown that the size of a test obtained from an analysis incorporating the blocking (say T), versus an analysis ignoring the blocking (say TI), is related to the intrablock correlation coefficient (R) as TI = T(1-R). For blocks of common length 2m, the range of R is from -1/(2m-1) to 1. Thus, if there is a positive intrablock correlation, which is more likely than not for m greater than 1, an analysis ignoring blocking will be unduly conservative. Permutation tests are also presented for the case of stratified analyses within one or more subgroups of patients defined post hoc on the basis of a covariate. This provides a basis for the analysis when responses from some patients are assumed to be missing-at-random. An alternative strategy that requires no assumptions is to perform the analysis using only the subset of complete blocks in which no observations are missing. The Blackwell-Hodges model is used to assess the potential for selection bias induced by investigator attempts to guess which treatment is more likely to be assigned to each incoming patient. In an unmasked trial, the permuted-block design provides substantial potential for selection bias in the comparison of treatments due to the predictability of the assignments that is induced by the requirement of balance within blocks. Further, this bias is not eliminated by the use of random block sizes. We also modify the Blackwell-Hodges model to allow for selection bias only when the investigator is able to discern the next assignment with certainty. This type of bias is reduced by the use of random block sizes and is eliminated only if the possible block sizes are unknown to the investigators. Finally, the Efron model for accidental bias is used to assess the potential for bias in the estimation of treatment effects due to covariate imbalances. For the permuted-block design, the variance of this bias approaches that of complete randomization as the half-block length m----infinity.(ABSTRACT TRUNCATED AT 400 WORDS)
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In the citing paper
“we randomized each of them to a single treatment by using the method of randomly permuted blocks (Matts & Lachin, 1988).Randomization was stratified into two blocks by the use of psychotropic medication”
From Efficacy of an acceptance-based group behavioral therapy for generalized anxiety disorder. (2020) · cites this paper as Matts & Lachin, 1988
In the citing paper
“A random number generator (http://www.randomization.com) was used to generate a random number for each participant and randomly allocate each enrolled participant to one of the two treatment groups, in a 1:1 ratio, following the method of randomly permuted blocks (Matts and Lachin, 1988).”
From Inflammatory markers changes following acceptance-based behavioral psychotherapy in generalized anxiety disorder patients: Evidence from a randomized controlled trial (2024) · cites this paper as Matts and Lachin, 1988
In the citing paper
“Dr Shi randomized the 288 participants into control and intervention groups using the permuted block randomization method [21]”
From Mobile-Delivered Mindfulness Intervention on Anxiety Level Among College Athletes: Randomized Controlled Trial (2024) · cites this paper as [21]
In the citing paper
“Generation of the random allocation sequence, using permuted block randomization [55], was conducted by the second author (JP).”
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“The randomized list was generated using Microsoft Excel with a permuted balanced block randomization method, as previously described.(28) The physicians, researchers, and statisticians were blind to the allocation of patients.”
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“Allocation assignment was determined prior to the start of the study using permuted block randomization (Matts & Lachin, 1988).”
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“N4 children) and presence/absence of diabetes using method of permuted blocks (Matts and Lachin, 1988) and MT64 random number generator in STATA (College Station, TX).”
MethodEkhaguere, O. A., Oluwafemi, R. O., Badejoko, B. O., Oyeneyin, L. O., Butali, A., Lowenthal, E. D., & Steenhoff, A. P. (2019) · BMJ Global Health · doi:10.1136/bmjgh-2018-001232 · Cited by 49
Firl, D. J., Sasaki, K., Agopian, V. G., Gorgen, A., Kimura, S., Dumronggittigule, W., McVey, J. C., Iesari, S., Mennini, G., Vitale, A., et al. (2019) · Hepatology · doi:10.1002/hep.30838 · Cited by 49
“Block randomization was performed in a 3:1 fashion (with each center serving as a block) to maintain similar representation of every center.(21) Recalibration was performed on the training cohort (n = 1,021) using ordinal logistic modeling of a composite endpoint (1 point for either recurrence or mortality and 2 point…”
MethodZhao, W. (2014) · Statistics in Medicine · doi:10.1002/sim.6266 · Cited by 45
“Rosenberger and Lachin distinguish randomization procedures into four classes: complete randomization, restricted randomization, covariate-adaptive randomization, and response-adaptive randomization [3].”
MethodInfluentialThe Efficacy of Screening for Common Dental Diseases by Hygiene-Therapists
Macey, R., Glenny, A., Walsh, T., Tickle, M., Worthington, H. V., Ashley, J., & Brocklehurst, P. R. (2015) · Journal of Dental Research · doi:10.1177/0022034514567335 · Cited by 46
Reproductive Health Choices for Young Adults With Sickle Cell Disease or Trait
Wilkie, D. J., Gallo, A. M., Yao, Y., Molokie, R. E., Stahl, C., Hershberger, P. E., Zhao, Z., Suarez, M. L., Labotka, R. J., Johnson, B., et al. (2013) · Nursing Research · doi:10.1097/nnr.0b013e3182a0316b · Cited by 44
“Stratified by SCD or SCT condition, we randomly assigned subjects in permuted blocks (Matts & Lachin, 1988) to e-Book (attention-control usual care) or CHOICES treatment groups using the random digit-based RandomAssignment software program (Pain & Symptom Management Research Group, Chicago, IL).”
MethodEffectiveness of airway clearance techniques in children hospitalized with acute bronchiolitis
Ginderdeuren, F. V., Vandenplas, Y., Deneyer, M., Vanlaethem, S., Buyl, R., & Kerckhofs, E. (2016) · Pediatric Pulmonology · doi:10.1002/ppul.23495 · Cited by 44
“com, 2011), using the method of randomly permuted blocks.(25) Each number was contained in a sealed opaque envelope opened by the physiotherapist after inclusion.”
Methodde Oliveira, F. C. L., de Fontenay, B. P., Bouyer, L. J., Desmeules, F., & Roy, J. (2020) · Sports Health A Multidisciplinary Approach · doi:10.1177/1941738120944254 · Cited by 46
“Randomization was stratified by sex (as it was unclear whether sex could influence the KT responses), and a block design (block size of 4-6-8) was utilized.(27) The allocation was concealed in sequentially numbered sealed opaque envelopes that were opened by the treating physical therapist”
MethodSerruys, P. W. J. C., Vranckx, P., Slagboom, T., Regar, E. S., Meliga, E., de Winter, R. J., Heyndrickx, G. R., Schuler, G. C., van Remortel, E., Dubé, G. P., et al. (2008) · EuroIntervention · doi:10.4244/eijv3i5a108 · Cited by 44
Keys, E., Luctkar‐Flude, M., Tyerman, J. J., Sears, K., & Woo, K. Y. (2021) · Clinical Simulation in Nursing · doi:10.1016/j.ecns.2021.01.013 · Cited by 43
Hilgers, R.-D., & Tamm, M. (2014) · Methods of Information in Medicine · doi:10.3414/me14-01-0048 · Cited by 42
“This relation between blocked and unblocked analysis is well known from Matts and Lachin [22], who showed that for a positive intrablock correlation the analysis of variances ignoring the blocks is more conservative than the blocked analysis of variance.”
MethodInfluentialRandomization in substance abuse clinical trials
Hedden, S. L., Woolson, R. F., & Malcolm, R. J. (2006) · Substance Abuse Treatment Prevention and Policy · doi:10.1186/1747-597x-1-6 · Cited by 42
Environmental intervention for house dust mite control in childhood bronchial asthma
El‐Ghitany, E. M., & El-Salam, M. M. A. (2012) · Environmental Health and Preventive Medicine · doi:10.1007/s12199-011-0263-5 · Cited by 42
“Through block randomization [23] using random sequences of block sizes, the children were randomly allocated into one of four groups according to recommended HDM control measures:”
MethodChang, M., Brown, R., & Nitzke, S. A. (2017) · BMC Public Health · doi:10.1186/s12889-017-4109-y · Cited by 40
“Our randomization protocol utilized a variable permuted-block algorithm [22, 23].”
MethodNiven, D. J., Stelfox, H. T., Léger, C., Kubes, P., & Laupland, K. B. (2012) · Journal of Critical Care · doi:10.1016/j.jcrc.2012.08.015 · Cited by 40
“The randomization scheme was developed using simple block randomization (n = 8), and allocation was concealed using the consecutively numbered, sealed opaque envelope technique [20].”
MethodGallo, A. M., Wilkie, D. J., Yao, Y., Molokie, R. E., Stahl, C., Hershberger, P. E., Zhao, Z., Suarez, M. L., Johnson, B., Angulo, R., et al. (2015) · Journal of Genetic Counseling · doi:10.1007/s10897-015-9874-0 · Cited by 39
“Stratified by SCD or SCT status in permuted blocks (Matts and Lachin 1988), the RCT had baseline and multiple posttest measurements (immediately posttest, 6, 12, 18 and 24 months posttest).”
MethodDuong, D. T. T., Binns, C. W., Pham, N. M., Zhao, Y., Dinh, T. P. H., Ha, B. T. T., Tran, C. T., Nguyen, X. H., Giglia, R. C., Xu, F., et al. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17155552 · Cited by 40
“≥2 children) to achieve the balance of the number of participants allocated to each treatment group [127,128].”
BackgroundBuhimschi, C. S., Bahtiyar, M. O., Zhao, G., Abdelghany, O., Schneider, L., Abdel‐Razeq, S. S., Dulay, A. T., Lipkind, H. S., Mieth, S., Rogers, L. K., et al. (2020) · Pediatric Research · doi:10.1038/s41390-020-01106-w · Cited by 39
Rennick‐Egglestone, S., Elliott, R. A., Smuk, M., Robinson, C., Bailey, S., Smith, R., Keppens, J., Hussain, H., Pollock, K., Cuijpers, P. J., et al. (2020) · Trials · doi:10.1186/s13063-020-04428-6 · Cited by 40
“permuted block randomisation [103] with randomly”
Nejatbakhsh, F., Karegar-Borzi, H., Amin, G., Eslaminejad, A., Hosseini, M., Bozorgi, M., & Gharabaghi, M. A. (2016) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2016.12.032 · Cited by 35
“Subjects were allocated to 1 of these 3 treatment arms by randomized permuted blocks with a block size of four (Matts and Lachin, 1988) (27).”
MethodStevens, J. H., Lutz, R., Osuagwu, N., Rotz, D., & Goesling, B. (2017) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.06.010 · Cited by 37
“A permuted block design was used to seek an even balance of participants across the intervention and control groups throughout the study period.(16) We specified a variable block size of up to 6 characters and a 1:1 allocation of participants across the 2 study”
MethodRobust Tests for Treatment Effect in Survival Analysis under Covariate-Adaptive Randomization
Ye, T., & Shao, J. (2020) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/rssb.12392 · Cited by 35
“…permuted block randomization is very easy to implement, but sometimes its deterministic aspect makes the future sequence predictable if the investigator is unblinded to the previous treatment assignments, which may result in an increased risk of investigator selection bias (Matts and Lachin, 1988).”
BackgroundManlove, J. S., Cook, E. L., Whitfield, B., Johnson, M., Martínez-García, G., & Garrido, M. (2019) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.08.017 · Cited by 35
Henninger, H. B., King, F. K., Tashjian, R. Z., & Burks, R. T. (2013) · Journal of Shoulder and Elbow Surgery · doi:10.1016/j.jse.2013.08.008 · Cited by 34
Prasad, S. M., Large, M. C., Patel, A. R., Famakinwa, O. J., Galocy, R. M., Karrison, T., Shalhav, A. L., & Zagaja, G. P. (2014) · The Journal of Urology · doi:10.1016/j.juro.2014.01.004 · Cited by 33
“Interestingly, all 202 patients elected removal of the UC rather than the SPT. Chicago patients and the 202 Detroit patients (reference 12 in article)?”
BackgroundInfluentialFord, T. J., Last, A., Henley, W., Norman, S., Guglani, S., Kelesidi, K., Martin, A., Moran, P., Latham-Cork, H., & Goodman, R. (2012) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-012-0564-z · Cited by 32
“Randomisation was carried out by an independent clinical trials unit; it used permuted block randomization [20], stratifying by clinical team to ensure balance for the different length of waiting list among the three clinical teams.”
MethodOo, W. M. (2014) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2014.06.001 · Cited by 32
Losina, E., Wright, J. G., & Katz, J. N. (2012) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.k.00009 · Cited by 34
Lipchik, G. L., Nicholson, R. A., & Penzien, D. B. (2005) · Headache The Journal of Head and Face Pain · doi:10.1111/j.1526-4610.2005.05093.x · Cited by 29
Eggener, S. E., Large, M. C., Gerber, G. S., Pettus, J. A., Yossepowitch, O., Smith, N. D., KUNDU, S. D., Kunnavakkam, R., Zorn, K. C., & Raman, J. D. (2013) · British Journal of Urology · doi:10.1111/bju.12241 · Cited by 28
Effects of unstratified and centre‐stratified randomization in multi‐centre clinical trials
Anisimov, V. V. (2010) · Pharmaceutical Statistics · doi:10.1002/pst.412 · Cited by 26
Dynamic randomization and a randomization model for clinical trials data
Kaiser, L. D. (2012) · Statistics in Medicine · doi:10.1002/sim.5448 · Cited by 26
“This parallels the situation with PBR where the variance estimate ignoring the blocking in time will generally be greater than the estimate accounting for this blocking when there is low-frequency variation or a smooth time trend in the unit effect residuals, as quantified by the intrablock correlation [1].”
BackgroundMethodInfluentialRacial Differences in the Effectiveness of Internet-Delivered Mental Health Care
Jonassaint, C. R., Belnap, B. H., Huang, Y., Karp, J. F., Abebe, K. Z., & Rollman, B. L. (2019) · Journal of General Internal Medicine · doi:10.1007/s11606-019-05542-1 · Cited by 24
Metadata
- Authors
- Matts, J. P., & Lachin, J. M.
- Affiliations
- University of Minnesota (US)
- George Washington University (US)
- Corresponding author
- Matts, John P.
- ORCID
- Lachin, John M.
- Venue
- Controlled Clinical Trials
- Publisher
- Elsevier BV
- Published
- 1988-12
- Volume
- 9
- Issue
- 4
- Pages
- 327-344
- ISSN
- 0197-2456 (ISSN-L)
- OpenAlex
- W2005415125
- Cited by
- 321
- References
- 18
- Citations by year
- 2026: 14 · 2025: 13 · 2024: 23 · 2023: 22 · 2022: 19 · 2021: 18 · 2020: 33 · 2019: 14 · 2018: 6 · 2017: 15 · 2016: 13 · 2015: 18 · 2014: 16 · 2013: 12 · 2012: 15
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Controlled Clinical Trials (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Public Health Service (R01-DI-39826)
- National Heart, Lung, and Blood Institute (HL15265)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- permuted block randomization, permutation tests, nonparametric rank tests, stratified analysis, selection bias, covariate imbalance, treatment effect estimation
- MeSH terms
- Analysis of Variance, Clinical Trials as Topic, Humans, Random Allocation, Research Design, Models, Statistical
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