MultipleComaprisonsBiblio.doc
© Timothy G. Gregoire, Yale University
Last revised: November 2012
MULTIPLE COMPARISONS BIBLIOGRAPHY
1961-Present (91 Entries)
1. Misc 1. Multiple Comparison Procedures (2007) Biometrical Journal 49(1): 1-168.
2. Dunn, O.J. (1961) “Multiple comparisons among means.” JASA, 56: 54-64.
3. Federer, W.T. (1961) “Experimental error rates.” Proceedings of the American Society
for Horticultural Science, 78: 605-615.
4. Gabriel, K.R. (1964) “A procedure for testing the homogeneity of all sets of means in
analysis of variance.” Biometrics, September: 459-477.
5. Cox, D.R. (1965) “A remark on multiple comparison methods.” Technometrics, 7(2):
223-224.
6. Duncan, D.B. (1965) “A Bayesian approach to multiple comparisons.” Technometrics,
7(2): 171-222.
7. Hamilton, M.A. (1965) “Multiple comparison procedures.” US Forest Service Research
Note RM-44, 11 p.
8. Sidak, Z. (1967) “Rectangular confidence regions for the means of multivariate normal
distributions.” JASA, 62: 626-633.
9. O’Neill, R. and G.B. Wetherill. (1971) “The present state of multiple comparison
methods.” JRSS-B, 33: 218-250.
10. Carmer, S.G. and M.R. Swanson. (1973) “An evaluation of ten pairwise multiple
comparison procedures by Monte Carlo methods.” JASA, 68(341): 66-74.
11. Gill, J.L. (1973) “Current status of multiple comparisons of means in designed
experiments.” Journal of Dairy Science, 56(8): 973-977.
12. Bernhardson, C.S. (1975) “375: Type I error rates when multiple comparison procedures
follow a significant F test of ANOVA.” Biometrics, 31: 229-232.
13. Einot, I. and K.R. Gabriel. (1975) “A study of the powers of several methods of multiple
comparisons.” JASA, 70(351): 574-583.
14. Patil, K.D. (1975) “Cochran’s Q test: exact distributions.” JASA, 70(38): 186-189.
15. Carmer, S.G. (1976) “Optimal significance levels for application of the least significant
difference in crop performance trials.” Crop Science, 16: 95-99.
MultipleComaprisonsBiblio.doc
© Timothy G. Gregoire, Yale University
16. Chew, V. (1976) “Comparing treatment means: a compendium.” HortScience, 11(4):
348-356.
17. Waldo, D.R. (1976) “An evaluation of multiple comparison procedures.” Journal of
Animal Science, 42(2): 539-544.
18. Williams, J.S. (1976) “Shorter communications.” Biometrics, 32: 929-934.
19. Hochberg, Y. and G. Rondrígez. (1977) “Intermediate simultaneous inference
procedures.” JASA, 72: 220-225.
20. Keselman, H.J. and J.C. Rogan. (1977) “The Tukey multiple comparison test: 19531976.” Psychological Bulletin, 84(5): 1050-1056.
21. Miller, Jr., R.G. (1977) “Developments in multiple comparisons.” JASA, 72(360): 779788.
22. Petersen, R.G. (1977) “Use and misuse of multiple comparison procedures.” Agronomy
Journal, 69: 205-208.
23. Chew, V. (1978) “Comparisons among treatment means in an analysis of variance.”
USDA, Agricultural Research Service, US Govt Printing Office: 0-280-931/SEA-5, 64 p.
24. Keselman, H.J. and J.C. Rogan. (1978) “A comparison of the Modified-Tukey and
Scheffé methods of multiple comparisons for pairwise contrasts.” JASA, 73(361): 47-52.
25. Little, T.M. (1978) “If Galileo published in HortScience.” HortScience, 13(5): 504-506.
26. Ramsey, P.H. (1978) “Power differences between pairwise multiple comparisons.”
JASA, 73(363): 479-487.
27. Smith, C.W. (1978) “Bayes linear significant difference: a review and comparison.”
Agronomy Journal, 70: 123-127.
28. Browne, R.H. (1979) “The consultants forum.” Biometrics, 35: 657-665.
29. Holm, S. (1979) “A simple sequentially rejective multiple test procedure.”
Scandinavian Journal of Statistics, 6: 65-70.
30. Stoline, M.R. and H.K. Ury. (1979) “Tables of the studentized maximum modulus
distribution and an application to multiple comparisons among means.” Technometrics,
21(1): 87-93.
31. Tamhane, A.C. (1979) “A comparison of procedures for multiple comparisons of means
with unequal variances.” JASA, 74(366): 471-480.
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© Timothy G. Gregoire, Yale University
32. Dunnett, C.W. (1980) “Pairwise multiple comparisons in the homogeneous variance,
unequal sample size case.” JASA, 75(372): 789-795.
33. Dunnett, C.W. (1980) “Pairwise multiple comparisons in the unequal variance case.”
JASA, 75(372): 796-800.
34. Keselman, H.J., P.A. Games, and J.C. Rogan. (1980) “Type I and Type II errors in
simultaneous and two-stage multiple comparison procedures.” Psychological Bulletin,
88(2): 356-358.
35. Ryan, T.A. (1980) “Comment on ‘Protecting the overall rate of Type I errors for
pairwise comparisons with an omnibus test statistic.” Psychological Bulletin, 88(2): 354355.
36. Savin, N.E. (1980) “The Bonferroni and the Scheffé multiple comparison procedures.”
Review of Economic Studies, XLVII: 255-273.
37. Keselman, H.J., J.C. Rogan, and P.A. Games. (1981) “Robust tests of repeated measures
means in educational and psychological research.” Educational and Psychological
Measurement, 41: 163-173.
38. Games, P.A., H.J. Keselman, and J.C. Rogan. (1981) “Simultaneous pairwise multiple
comparison procedures for means when sample sizes are unequal.” Psychological
Bulletin, 90: 594-598.
39. Miller, Jr., R.G. (1981) “Simultaneous Statistical Inference (2nd Edition).” New York:
Springer-Verlag, 298 p.
40. Stoline, M.R. (1981) “The status of multiple comparisons: simultaneous estimation of
all pairwise comparisons in one-way ANOVA designs.” The American Statistician,
35(3): 134-141.
41. Carmer, S.G. and W.M. Walker. (1982) “Baby bear’s dilemma: a statistical tale.”
Agronomy Journal, 74: 122-124.
42. Korhonen, M.P. (1982) “On the performance of some multiple comparison procedures
with unequal variances.” Scandinavian Journal of Statistics, 9: 241-247.
43. Schweder, T. and E. Spjøtvoll. (1982) “Plots of P-values to evaluate many tests
simultaneously.” Biometrics, 69(3): 493-502.
44. Braun, H.I. and J.W. Tukey. (1983) “Chapter 4, Multiple comparisons through orderly
partitions: the maximum subrange procedure.” In: Principles of modern psychological
measurement, H. Wainer and S. Messick, editors, pages 55-65.
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45. Duncan, D.B. and L.J. Brant. (1983) “Adaptive t tests for multiple comparisons.”
Biometrics, Sept.: 790-794.
46. O’Brien, P.C. (1983) “The appropriateness of analysis of variance and multiplecomparison procedures.” Biometrics, 39: 787-794.
47. Stoline, M.R. (1983) “The Hunter method of simultaneous inference and its
recommended use for applications having large known correlation structures.” JASA,
78(382): 366-370.
48. Westermann, R. and W. Hager. (1983) “The relative importance of low significance
level and high power in multiple tests of significance.” Perceptual and Motor Skills, 56:
407-413.
49. Jaccard, J., M.A. Becker, and G. Wood. (1984) “Pairwise multiple comparison
procedures: a review.” Psychological Bulletin, 96(3): 589-596.
50. Jones, D. (1984) “Use, misuse, and role of multiple-comparison procedures in
ecological and agricultural entomology.” Environmental Entomology, 13: 635-649.
51. Zwick, R. and L.A. Marascuilo. (1984) “Selection of pairwise multiple comparison
procedures for parametric and nonparametric analysis of variance models.”
Psychological Bulletin, 95(1): 148-155.
52. Mize, C.W. and R.C. Schultz. (1985) “Comparing treatment means correctly and
appropriately.” Can. J. For. Res., 15: 1142-1148.
53. Bauer, P., et al. (1986) “Multiple testing of pairs of one-sided hypotheses.” Metrika, 33:
121-127.
54. Hayter, A.J. (1986) “The maximum familywise error rate of Fisher’s least significant
difference test.” JASA, 81(396): 1000-1004.
55. Jones, D. and N. Matloff. (1986) “Statistical hypothesis testing in biology: a
contradiction in terms.” J. Econ. Entomol., 79: 1156-1160.
56. Perry, J.N. (1986) “Multiple-comparison procedures: a dissenting view.” J. Econ.
Entomol., 79: 1149-1155.
57. Simes, R.J. (1986) “An improved Bonferroni procedure for multiple tests of
significance.” Biometrika, 73(3): 751-754.
58. Warren, W.G. (1986) “On the presentation of statistical analysis: reason or ritual.” Can.
J. For. Res., 16: 1185-1191.
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59. Holland, B.S. and M.D. Copenhaver. (1987) “An improved sequentially rejective
Bonferroni test procedure.” Biometrics, 43: 417-423.
60. Parker, R.A. and R.B. Rothenberg. (1987) “Identifying important results from multiple
statistical tests.” Biometrics Society Meeting in Dallas, Texas, March 1987, 22 p.
61. Rezay-Garacani, T., L.J. Wilson, and J.H. Young. (1987) “A Monte Carlo study of
multiple comparison procedures applied to discrete data.”
62. Andrews, D.W.K. (1988) “Chi – square diagnostic tests for econometric models”.
Journal of Econometrics 37: 135 – 156.
63. Hochberg, Y. (1988) “A sharper Bonferroni procedure for multiple tests of
significance.” Biometrika, 75(4): 800-802.
64. Rudolph, P.E. (1988) “Robustness of multiple comparison procedures: treatment versus
control.” Biom. J., 30(1): 41-45.
65. Day, R.W. and G.P. Quinn. (1989) “Comparisons of treatments after an analysis of
variance in ecology.” Ecological Monographs, 59(4): 433-463.
66. Hayter, A.J. (1989) “Pairwise comparisons of generally correlated means.” JASA,
84(405): 208-213.
67. Soric, B. (1989) “Statistical ‘discoveries’ and effect-size estimation.” JASA, 84(406):
608-610.
68. Hochberg, Y. and Y. Benjamini. (1990) “More powerful procedures for multiple
significance testing.” Statistics in Medicine, 9: 811-818.
69. Saville, D.J. (1990) “Multiple comparison procedures: the practical solution.” The
American Statistician, 44(2): 174-180.
70. Tarone, R.E. (1990) “A modified Bonferroni method for discrete data.” Biometrics, 46:
515-522.
71. Piegorsch, W.W. (1991) “Multiple comparisons for analyzing dichotomous response.”
Biometrics, 47: 45-52.
72. Tukey, J.W. (1991) “The philosophy of multiple comparisons.” Statistical Science,
6(1): 100-116.
73. Dunnett, C.W. and A.C. Tamhane. (1992) “A step-up multiple test procedure.” JASA,
87(417): 162-170.
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74. Wright, S.P. (1992) “Adjusted P-values for simultaneous inference.” Biometrics, 48:
1005-1013.
75. Zieliński, W. (1992) “Monte Carlo comparison of multiple comparison procedures.”
Biom. J., 3: 291-296.
76. Khuri, A.I. (1993) “A note on Scheffé’s confidence intervals.” The American
Statistician, 47(3): 176-178.
77. Benjamini, Y. and Y. Hochberg. (1995) “Controlling the false discovery rate: a practical
and powerful approach to multiple testing.” J.R. Statist. Soc. B., 57(1): 289-300.
78. Savitz, D.A. and A.F. Olshan. (1995) “Multiple comparisons and related issues in the
interpretation of epidemiologic data.” American Journal of Epidemiology, 142(9): 904908.
79. Schwertman, N.C. and N.J. Carter. (1995) “A more practical Scheffe-type multiple
comparison procedure for commonly encountered numbers of comparisons.” J. Statist.
Comput. Simul., 53: 181-196.
80. Shaffer, J.P. (1995) “Multiple Hypothesis Testing”. Annual Review of Psychology 46:
561-584.
81. Cabin, R.J. and R.J. Mitchell. (2000) “To Bonferroni or not to Bonferroni: when and
how are the questions.” Bulletin of the Ecological Society of America, July: 246-248.
82. Bender, R. and Lange, S. (2001) “Adjusting for multiple testing - when and how?”
Journal of Clinical Epidemiology 54: 343- 349.
83. Gilbert, P.B. (2005) “A modified false discovery rate multiple – comparisons procedure
for discrete data, applied to human immunodeficiency virus genetics”. Applied Statistics
54 (1): 143 – 158.
84. Austin, P.C., Mamdani, M.M., Juurlink, D.N. and Hux, J.E.(2006) “Testing multiple
statistical hypotheses resulted in spurious associations: a study of astrological signs and
health”. Journal of Clinical Epidemiology 59: 964-969.
85. Benjamini, Y. and Heller, R. (2007) “False discovery rates for Spatial Signals”. Journal
of the American Statistical Association 102 (480): 1272 – 1281.
86. Fan, J., Hall, P. and Yao, Q. (2007) “To how many simultaneous Hypothesis tests can
normal, student’s t or Bootstrap Calibration be applied?” Journal of the American
Statistical Association 102 (480): 1282 – 1288.
87. Wong, M.Y. and Cox, D.R. (2007) “On the Screening of Large Numbers of Significance
Tests”. Journal of Applied Statistics 30(7): 779-783.
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88. Bennett, C.M., Baird, A.A., Miller, M.B. and Wolford, G.L. (2010) “Neural Correlates of
Interspecies perspective taking in the Post-Mortem Atlantic Salmon: An Argument for
proper Multiple Comparisons correction”. Journal of Serendipitous and Unexpected
Results 1(1): 1-5.
89. Hurlbert, S.H. and Lombardi, C.M. (2010) “Lopsided Reasoning on Lopsided Tests and
Multiple Comparisons”. University Paper: 1-45.
90. Ramsey, P.H., Ramsey, P.P. and Barrera, K. (2010) “Choosing the best pairwise
comparisons of means from non-normal populations, with unequal variances, but equal
sample sizes”. Journal of Statistical Computation and Simulation 80(6): 595 – 608.
91. Nkurunziza, S. (2012) “The risk of pretest and shrinkage estimators”. Statistics 46 (3):
305 – 312.
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