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Slide 2 1 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Simultaneous Confidence Regions corresponding to Holms Step-down MTP (and other CTPs) Olivier Guilbaud AstraZeneca R&D, Sweden Slide 3 2 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Outline Bonferroni Confidence Regions Elements of Proposed Simultaneous Confidence Regions The Simultaneous Confidence Regions Illustration Extensions Nice Reduction Property Slide 4 3 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Bonferroni Confidence Regions Estimated quantities (m specified): Marginal -Confidence Regions (m specified): Simultaneous ( )-Confidence Regions: Bonferroni m -adjustment Nice properties: Flexible, Generally valid (if marginal regions are valid) No restriction to particular kinds/dimensions of i s and C i, s Slide 5 4 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Can other simultaneous confidence regions based on marginal confidence regions be constructed that share these nice properties ? YES, and Bonferroni regions constitute a special case in a class of such regions. Slide 6 5 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Elements of Proposed Simultaneous Confidence Regions Estimated quantities (m specified): Marginal -Confidence Regions (m specified): Target Regions of interest (m specified): Aim is to show, if possible, that i R i (target assertion) Additional Slide 7 6 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Elements (cont.) Examples with i and Target region R i for i : Show, i.e., superiority or non-inferiority Show, i.e., inequality Show, i.e., equivalence using appropriate marginal confidence regions C i, s for i s No restriction to particular kinds/dimensions of i s, R i s, or C i, s Slide 8 7 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Elements (cont.) Raw p-value p i = p i (data) : p i = ( infimum of levels ' for which the test rejects H i ) Marginal Confidence-Region ' Test of H i : i R i to Show H i c : i R i : Connection with Holms (1979) Step-down MTP through Slide 9 8 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 (Brief Refresher) Ordered p-values: p (1) p (2) p (m) ; Corresp Hs: H (1), H (2), , H (m) Bonferroni-Holms (1979) MTP with multiple-level : Reject successively H (1), H (2), , H (m), as long as p (1) /m, p (2) /(m-1), , p (m) /1 ; Stop at first > ! Sture Holm Slide 10 9 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Elements (cont.) Can be arbitrarily chosen. Can be chosen to sharpen inferences about 1, , m Given , introduce I Reject ( set of 1 i m of H i s rejected by Holm at multiple level ) I Accept 1, 2, , m I Reject (i) : the 2 index sets (ii) : additional Estimated quantity & Marginal Confidence Region Slide 11 10 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 The Simultaneous Confidence Regions For 1 i m+1, define : Main Result : Bonferroni |I Accept | -adjustment of marginal conf region for i Reflects by how much/little one missed the Target assertion i R i Useful to sharpen inferences for 1 i m Slide 12 11 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Nice Reduction Property What happens if all target regions R 1, , R m are chosen to be empty ? Reduction to m ordinary Bonferroni Conf Regions for 1, , m ! because : Only this is informative Empty Slide 13 12 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Illustration Estimated quantities in , , e.g. Differences of Trt-means Show, if possible, that each ! That is, each. Marginal 1-sided -Confidence Regions ( t or W based t or W p-values for H 0 : i 0 vs. H 0 c : i > 0 ) Possible realization of Conf Regions with m 5 : 0 Holm non-rejections (Bonf 2 -adjustm) Holm rejections (Target assertions) extra free information Slide 14 13 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Illustration (cont.) (Reasonable if scales of are equal or sufficiently similar) Possible choice of additional and to sharpen inferences : Rectangular region Sharpening of Conf Regions with m 5 if occurs : 0 0 instead of L min Slide 15 14 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Extension 1: Holm with Weights Holms (1979) MTP based on p 1, , p m and given weights 1, , m > 0 For 1 i m+1 : Holm rejection index set Slide 16 15 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Extension 2: Hommel, Bretz & Maurer (2007) class of MTPs CTP with Bonferroni test of H I using certain w i (I)s, i I, I {1, , m}. (Fixed-Seq MTP, Holms MTP, Gatekeeping MTPs, Fallback MTP, ) For 1 i m+1, again : Weights w i (I) are such that for each non-empty I {1, , m} : H-B-M rejection index set Slide 17 16 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Final Comments Flexible (no restriction concerning kinds/dim of i s, R i s and C i, s) Multi-dimensional i s and R i s can be combined with marginal simultaneous CIs within i s (e.g. Hsu-Berger CIs for i -components): Generally valid (if marginal confidence regions are valid) Intuitively appealing Simple to implement Leads e.g. to Simultaneous Confidence Regions corresponding to the Bonferroni-Holm MTP for m families of hypotheses (Bauer et al. 1998 appendix, Bauer et al. 2001) with Extra free Information m=2 : Superiority vs. PlaceboNon-inferiority vs. Placebo Slide 18 17 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Selected References Aitchinson, J. (1964). Confidence-region Tests. Journal of the Royal Statistical Society, Ser. B, 26, 462-476. Hsu, J. C. and Berger, R. L. (1999). Stepwise Confidence Intervals Without Multiplicity Adjustment for Dose-response and Toxicity Studies. Journal of the American Statistical Association 94, 468-482. Bauer, P., Brannath, W., and Posch, M. (2001). Multiple Testing for Identifying Effective and Safe Treatments. Biometrical Journal 43, 605-616. Bauer, P., Rhmel, J., Maurer, W., and Hothorn, L. (1998). Testing Strategies in Multi-dose Experiments Including Active Control. Statistics in Medicine 17, 2133-2146. Holm, S. (1979). A Simple Sequentially Rejective Multiple Test Procedure. Scandinavian Journal of Statistics 6, 65-70. Hommel, G., Bretz, F., and Maurer, W. (2007). Powerful Short-Cuts for Multiple Testing Procedures with Special Reference to Gatekeeping Strategies. Statistics in Medicine (in press). Slide 19 18 O Guilbaud, MCP2007, July 8-11, Vienna, v.1 Summary Bonferroni Confidence Regions Elements of Proposed Simultaneous Confidence Regions The Simultaneous Confidence Regions Illustration Extensions Nice Reduction Property