-
1
-
-
19944422061
-
A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer
-
Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, Baehner FL, Walker MG, Watson D, Park T, Hiller W, Fisher ER, Wickerham DL, Bryant J, Wolmark N. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. New England Journal of Medicine 2004; 351(27): 2817–2826.
-
(2004)
New England Journal of Medicine
, vol.351
, Issue.27
, pp. 2817-2826
-
-
Paik, S.1
Shak, S.2
Tang, G.3
Kim, C.4
Baker, J.5
Cronin, M.6
Baehner, F.L.7
Walker, M.G.8
Watson, D.9
Park, T.10
Hiller, W.11
Fisher, E.R.12
Wickerham, D.L.13
Bryant, J.14
Wolmark, N.15
-
2
-
-
33744814477
-
Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer
-
Paik S, Tang G, Shak S, Kim C, Baker J, Kim W, Cronin M, Baehner FL, Watson D, Bryant J, Costantino JP, Geyer CE Jr, Wickerham DL, Wolmark N. Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. Journal of Clinical Oncology 2006; 24(23): 3726–3734.
-
(2006)
Journal of Clinical Oncology
, vol.24
, Issue.23
, pp. 3726-3734
-
-
Paik, S.1
Tang, G.2
Shak, S.3
Kim, C.4
Baker, J.5
Kim, W.6
Cronin, M.7
Baehner, F.L.8
Watson, D.9
Bryant, J.10
Costantino, J.P.11
Geyer, C.E.12
Wickerham, D.L.13
Wolmark, N.14
-
3
-
-
20944432470
-
Prognostic role of a multigene reverse transcriptase-PCR assay in patients with node-negative breast cancer not receiving adjuvant systemic therapy
-
Esteva FJ, Sahin AA, Cristofanilli M, Coombes K, Lee SJ, Baker J, Cronin M, Walker M, Watson D, Shak S, Hortobagyi GN. Prognostic role of a multigene reverse transcriptase-PCR assay in patients with node-negative breast cancer not receiving adjuvant systemic therapy. Clinical Cancer Research 2005; 11(9): 3315–3319.
-
(2005)
Clinical Cancer Research
, vol.11
, Issue.9
, pp. 3315-3319
-
-
Esteva, F.J.1
Sahin, A.A.2
Cristofanilli, M.3
Coombes, K.4
Lee, S.J.5
Baker, J.6
Cronin, M.7
Walker, M.8
Watson, D.9
Shak, S.10
Hortobagyi, G.N.11
-
4
-
-
84880044696
-
A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis
-
Debray T, Moons KG, Ahmed I, Koffijberg H, Riley RD. A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis. Statistics in Medicine 2013; 32(18): 3158–3180.
-
(2013)
Statistics in Medicine
, vol.32
, Issue.18
, pp. 3158-3180
-
-
Debray, T.1
Moons, K.G.2
Ahmed, I.3
Koffijberg, H.4
Riley, R.D.5
-
5
-
-
84859928513
-
Individual participant data meta-analysis of prognostic factor studies: state of the art?
-
Abo-Zaid G, Sauerbrei W, Riley RD. Individual participant data meta-analysis of prognostic factor studies: state of the art?BMC Medical Research Methodology 2012; 12: 56.
-
(2012)
BMC Medical Research Methodology
, vol.12
, pp. 56
-
-
Abo-Zaid, G.1
Sauerbrei, W.2
Riley, R.D.3
-
6
-
-
84923527988
-
A new framework to enhance the interpretation of external validation studies of clinical prediction models
-
Debray TP, Vergouwe Y, Koffijberg H, Nieboer D, Steyerberg EW, Moons KG. A new framework to enhance the interpretation of external validation studies of clinical prediction models. Journal of Clinical Epidemiology 2015; 68(3): 279–289.
-
(2015)
Journal of Clinical Epidemiology
, vol.68
, Issue.3
, pp. 279-289
-
-
Debray, T.P.1
Vergouwe, Y.2
Koffijberg, H.3
Nieboer, D.4
Steyerberg, E.W.5
Moons, K.G.6
-
7
-
-
84860159431
-
Risk prediction models: II. External validation, model updating, and impact assessment
-
Moons KG, Kengne AP, Grobbee DE, Royston P, Vergouwe Y, Altman DG, Woodward M. Risk prediction models: II. External validation, model updating, and impact assessment. Heart 2012; 98: 691–698.
-
(2012)
Heart
, vol.98
, pp. 691-698
-
-
Moons, K.G.1
Kengne, A.P.2
Grobbee, D.E.3
Royston, P.4
Vergouwe, Y.5
Altman, D.G.6
Woodward, M.7
-
8
-
-
67650022801
-
Prognosis and prognostic research: what, why, and how?
-
Moons KG, Royston P, Vergouwe Y, Grobbee DE, Altman DG. Prognosis and prognostic research: what, why, and how?. BMJ 2009; 338: b375.
-
(2009)
BMJ
, vol.338
, pp. b375
-
-
Moons, K.G.1
Royston, P.2
Vergouwe, Y.3
Grobbee, D.E.4
Altman, D.G.5
-
10
-
-
81055155920
-
Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10 801 women in 17 randomised trials
-
Early Breast Cancer Trialists' Collaborative Group. Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10 801 women in 17 randomised trials. The Lancet 2011; 378(9804): 1707.
-
(2011)
The Lancet
, vol.378
, Issue.9804
, pp. 1707
-
-
Early, B.1
-
11
-
-
85203363507
-
Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials
-
Early Breast Cancer Trialists' Collaborative Group. Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials. The Lancet 2011; 378(9793): 771–784.
-
(2011)
The Lancet
, vol.378
, Issue.9793
, pp. 771-784
-
-
Early, B.1
-
12
-
-
84856636292
-
Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100 000 women in 123 randomised trials
-
Early Breast Cancer Trialists' Collaborative Group. Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100 000 women in 123 randomised trials. The Lancet 2012; 379(9814): 432–444.
-
(2012)
The Lancet
, vol.379
, Issue.9814
, pp. 432-444
-
-
Early, B.1
-
13
-
-
79951613307
-
Evaluation of treatment-effect heterogeneity using biomarkers measured on a continuous scale: subpopulation treatment effect pattern plot
-
Lazar AA, Cole BF, Bonetti M, Gelber RD. Evaluation of treatment-effect heterogeneity using biomarkers measured on a continuous scale: subpopulation treatment effect pattern plot. Journal of Clinical Oncology 2010; 28(29): 4539–4544.
-
(2010)
Journal of Clinical Oncology
, vol.28
, Issue.29
, pp. 4539-4544
-
-
Lazar, A.A.1
Cole, B.F.2
Bonetti, M.3
Gelber, R.D.4
-
14
-
-
0034668136
-
A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data
-
Bonetti M, Gelber RD. A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data. Statistics in Medicine 2000; 19(19): 2595–2609.
-
(2000)
Statistics in Medicine
, vol.19
, Issue.19
, pp. 2595-2609
-
-
Bonetti, M.1
Gelber, R.D.2
-
15
-
-
20044377408
-
Patterns of treatment effects in subsets of patients in clinical trials
-
Bonetti M, Gelber R. D. Patterns of treatment effects in subsets of patients in clinical trials. Biostatistics 2004; 5(3): 465–481.
-
(2004)
Biostatistics
, vol.5
, Issue.3
, pp. 465-481
-
-
Bonetti, M.1
Gelber, R.D.2
-
16
-
-
65649108011
-
A small sample study of the STEPP approach to assessing treatment-covariate interactions in survival data
-
Bonetti M, Zahrieh D, Cole BF, Gelber RD. A small sample study of the STEPP approach to assessing treatment-covariate interactions in survival data. Statistics in Medicine 2009; 28(8): 1255–1268.
-
(2009)
Statistics in Medicine
, vol.28
, Issue.8
, pp. 1255-1268
-
-
Bonetti, M.1
Zahrieh, D.2
Cole, B.F.3
Gelber, R.D.4
-
17
-
-
21144472187
-
Flexible methods for analyzing survival data using splines, with applications to breast cancer prognosis
-
Gray RJ. Flexible methods for analyzing survival data using splines, with applications to breast cancer prognosis. Journal of the American Statistical Association 1992; 87(420): 942–951.
-
(1992)
Journal of the American Statistical Association
, vol.87
, Issue.420
, pp. 942-951
-
-
Gray, R.J.1
-
18
-
-
36849048743
-
Multivariable modeling with cubic regression splines: a principled approach
-
Royston P, Sauerbrei W. Multivariable modeling with cubic regression splines: a principled approach. Stata Journal 2007; 7(1): 45–70.
-
(2007)
Stata Journal
, vol.7
, Issue.1
, pp. 45-70
-
-
Royston, P.1
Sauerbrei, W.2
-
19
-
-
4344621625
-
A new approach to modelling interactions between treatment and continuous covariates in clinical trials by using fractional polynomials
-
Royston P, Sauerbrei W. A new approach to modelling interactions between treatment and continuous covariates in clinical trials by using fractional polynomials. Statistics in Medicine 2004; 23(16): 2509–2525.
-
(2004)
Statistics in Medicine
, vol.23
, Issue.16
, pp. 2509-2525
-
-
Royston, P.1
Sauerbrei, W.2
-
20
-
-
36348939350
-
Statistics in medicine reporting of subgroup analyses in clinical trials
-
Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM. Statistics in medicine reporting of subgroup analyses in clinical trials. New England Journal of Medicine 2007; 357(21): 2189–2194.
-
(2007)
New England Journal of Medicine
, vol.357
, Issue.21
, pp. 2189-2194
-
-
Wang, R.1
Lagakos, S.W.2
Ware, J.H.3
Hunter, D.J.4
Drazen, J.M.5
-
21
-
-
84886050009
-
Estimating subject-specific treatment differences for risk-benefit assessment with applications to beta-blocker effectiveness trials
-
In, Springer
-
Claggett B, Tian L, Zhao L, Castagno D, Wei LJ. Estimating subject-specific treatment differences for risk-benefit assessment with applications to beta-blocker effectiveness trials. In Topics in Applied Statistics. Springer, 2013; 75–86.
-
(2013)
Topics in Applied Statistics
, pp. 75-86
-
-
Claggett, B.1
Tian, L.2
Zhao, L.3
Castagno, D.4
Wei, L.J.5
-
22
-
-
84890112672
-
Effectively selecting a target population for a future comparative study
-
Zhao L, Tian L, Cai T, Claggett B, Wei LJ. Effectively selecting a target population for a future comparative study. Journal of the American Statistical Association 2013; 108(502): 527–539.
-
(2013)
Journal of the American Statistical Association
, vol.108
, Issue.502
, pp. 527-539
-
-
Zhao, L.1
Tian, L.2
Cai, T.3
Claggett, B.4
Wei, L.J.5
-
23
-
-
85028275753
-
A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative, controlled clinical studies
-
Li J, Zhao L, Tian L, Cai T, Claggett B, Callegaro A, Dizier B, Spiessens B, Ulloa-Montoya F, Wei LJ. A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative, controlled clinical studies. Biometrics 2015. DOI: 10.1111/biom.12461.
-
(2015)
Biometrics
-
-
Li, J.1
Zhao, L.2
Tian, L.3
Cai, T.4
Claggett, B.5
Callegaro, A.6
Dizier, B.7
Spiessens, B.8
Ulloa-Montoya, F.9
Wei, L.J.10
-
24
-
-
84868095433
-
Patterns and risk factors for locoregional failures after mastectomy for breast cancer: an International Breast Cancer Study Group report
-
Karlsson P, Cole BF, Chua BH, Price KN, Lindtner J, Collins JP, Kovács A, Thürlimann B, Crivellari D, Castiglione-Gertsch M, Forbes JF, Gelber RD, Goldhirsch A, Gruber G, International Breast Cancer Study Group. Patterns and risk factors for locoregional failures after mastectomy for breast cancer: an International Breast Cancer Study Group report. Annals of Oncology 2012; 23(11): 2852–2858.
-
(2012)
Annals of Oncology
, vol.23
, Issue.11
, pp. 2852-2858
-
-
Karlsson, P.1
Cole, B.F.2
Chua, B.H.3
Price, K.N.4
Lindtner, J.5
Collins, J.P.6
Kovács, A.7
Thürlimann, B.8
Crivellari, D.9
Castiglione-Gertsch, M.10
Forbes, J.F.11
Gelber, R.D.12
Goldhirsch, A.13
Gruber, G.14
International, B.15
-
25
-
-
81255157751
-
Assessment of letrozole and tamoxifen alone and in sequence for postmenopausal women with steroid hormone receptor-positive breast cancer: the BIG 1-98 randomised clinical trial at 8.1 years median follow-up
-
Regan MM, Neven P, Giobbie-Hurder A, Goldhirsch A, Ejlertsen B, Mauriac L, Forbes JF, Smith I, Láng I, Wardley A, Rabaglio M, Price KN, Gelber RD, Coates AS, Thürlimann B, BIG 1-98 Collaborative Group, International Breast Cancer Study Group (IBCSG). Assessment of letrozole and tamoxifen alone and in sequence for postmenopausal women with steroid hormone receptor-positive breast cancer: the BIG 1-98 randomised clinical trial at 8.1 years median follow-up. The Lancet Oncology 2011; 12(12): 1101–1108.
-
(2011)
The Lancet Oncology
, vol.12
, Issue.12
, pp. 1101-1108
-
-
Regan, M.M.1
Neven, P.2
Giobbie-Hurder, A.3
Goldhirsch, A.4
Ejlertsen, B.5
Mauriac, L.6
Forbes, J.F.7
Smith, I.8
Láng, I.9
Wardley, A.10
Rabaglio, M.11
Price, K.N.12
Gelber, R.D.13
Coates, A.S.14
Thürlimann, B.15
-
26
-
-
84855746594
-
Interpreting breast international group (BIG) 1-98: a randomized, double-blind, phase iii trial comparing letrozole and tamoxifen as adjuvant endocrine therapy for postmenopausal women with hormone receptor-positive, early breast cancer
-
Regan MM, Price KN, Giobbie-Hurder A, Thürlimann B, Gelber RD, et al. Interpreting breast international group (BIG) 1-98: a randomized, double-blind, phase iii trial comparing letrozole and tamoxifen as adjuvant endocrine therapy for postmenopausal women with hormone receptor-positive, early breast cancer. Breast Cancer Research 2011; 13(3): 209.
-
(2011)
Breast Cancer Research
, vol.13
, Issue.3
, pp. 209
-
-
Regan, M.M.1
Price, K.N.2
Giobbie-Hurder, A.3
Thürlimann, B.4
Gelber, R.D.5
-
27
-
-
27244439432
-
Predicting response to systemic treatments: learning from the past to plan for the future
-
Regan MM, Gelber RD. Predicting response to systemic treatments: learning from the past to plan for the future. The Breast 2005; 14(6): 582–593.
-
(2005)
The Breast
, vol.14
, Issue.6
, pp. 582-593
-
-
Regan, M.M.1
Gelber, R.D.2
-
28
-
-
84890482594
-
Predicting degree of benefit from adjuvant trastuzumab in NSABP Trial B-31
-
Pogue-Geile K. L, Kim C, Jeong JH, Tanaka N, Bandos H, Gavin PG, Fumagalli D, Goldstein LC, Sneige N, Burandt E, et al. Predicting degree of benefit from adjuvant trastuzumab in NSABP Trial B-31. Journal of the National Cancer Institute 2013; 105(23): 1782–1788.
-
(2013)
Journal of the National Cancer Institute
, vol.105
, Issue.23
, pp. 1782-1788
-
-
Pogue-Geile, K.L.1
Kim, C.2
Jeong, J.H.3
Tanaka, N.4
Bandos, H.5
Gavin, P.G.6
Fumagalli, D.7
Goldstein, L.C.8
Sneige, N.9
Burandt, E.10
-
29
-
-
79959884829
-
Which patients benefit most from adjuvant aromatase inhibitors? Results using a composite measure of prognostic risk in the BIG 1-98 randomized trial
-
Viale G, Regan MM, Dell'Orto P, Mastropasqua MG, Maiorano E, Rasmussen BB, MacGrogan G, Forbes JF, Paridaens RJ, Colleoni M, et al. Which patients benefit most from adjuvant aromatase inhibitors? Results using a composite measure of prognostic risk in the BIG 1-98 randomized trial. Annals of Oncology 2011; 22(10): 2201–2207.
-
(2011)
Annals of Oncology
, vol.22
, Issue.10
, pp. 2201-2207
-
-
Viale, G.1
Regan, M.M.2
Dell'Orto, P.3
Mastropasqua, M.G.4
Maiorano, E.5
Rasmussen, B.B.6
MacGrogan, G.7
Forbes, J.F.8
Paridaens, R.J.9
Colleoni, M.10
-
30
-
-
81955164833
-
A new strategy for meta-analysis of continuous covariates in observational studies
-
Sauerbrei W, Royston P. A new strategy for meta-analysis of continuous covariates in observational studies. Statistics in Medicine 2011; 30(28): 3341–3360.
-
(2011)
Statistics in Medicine
, vol.30
, Issue.28
, pp. 3341-3360
-
-
Sauerbrei, W.1
Royston, P.2
-
31
-
-
0027765280
-
Controversies in meta-analysis: the case of the trials of serum cholesterol reduction
-
Thompson SG. Controversies in meta-analysis: the case of the trials of serum cholesterol reduction. Statistical Methods in Medical Research 1993; 2(2): 173–192.
-
(1993)
Statistical Methods in Medical Research
, vol.2
, Issue.2
, pp. 173-192
-
-
Thompson, S.G.1
-
32
-
-
0021909115
-
Beta blockade during and after myocardial infarction: an overview of the randomized trials
-
Yusuf S, Peto R, Lewis J, Collins R, Sleight P. Beta blockade during and after myocardial infarction: an overview of the randomized trials. Progress in Cardiovascular Diseases 1985; 27(5): 335–371.
-
(1985)
Progress in Cardiovascular Diseases
, vol.27
, Issue.5
, pp. 335-371
-
-
Yusuf, S.1
Peto, R.2
Lewis, J.3
Collins, R.4
Sleight, P.5
-
34
-
-
0025922797
-
A comparison of two simple hazard ratio estimators based on the logrank test
-
Berry G, Kitchin RM, Mock PA. A comparison of two simple hazard ratio estimators based on the logrank test. Statistics in Medicine 1991; 10(5): 749–755.
-
(1991)
Statistics in Medicine
, vol.10
, Issue.5
, pp. 749-755
-
-
Berry, G.1
Kitchin, R.M.2
Mock, P.A.3
-
35
-
-
40949140242
-
A comparison of methods for fixed effects meta-analysis of individual patient data with time to event outcomes
-
Smith CT, Williamson PR. A comparison of methods for fixed effects meta-analysis of individual patient data with time to event outcomes. Clinical Trials 2007; 4(6): 621–630.
-
(2007)
Clinical Trials
, vol.4
, Issue.6
, pp. 621-630
-
-
Smith, C.T.1
Williamson, P.R.2
-
36
-
-
0026009636
-
A general parametric approach to the meta-analysis of randomized clinical trials
-
Whitehead A, Whitehead J. A general parametric approach to the meta-analysis of randomized clinical trials. Statistics in Medicine 1991; 10(11): 1665–1677.
-
(1991)
Statistics in Medicine
, vol.10
, Issue.11
, pp. 1665-1677
-
-
Whitehead, A.1
Whitehead, J.2
-
37
-
-
33845571913
-
Random-effects model for meta-analysis of clinical trials: an update
-
DerSimonian R, Kacker R. Random-effects model for meta-analysis of clinical trials: an update. Contemporary Clinical Trials 2007; 28(2): 105–114.
-
(2007)
Contemporary Clinical Trials
, vol.28
, Issue.2
, pp. 105-114
-
-
DerSimonian, R.1
Kacker, R.2
-
38
-
-
84939166778
-
Interaction of treatment with a continuous variable: simulation study of power for several methods of analysis
-
Royston P, Sauerbrei W. Interaction of treatment with a continuous variable: simulation study of power for several methods of analysis. Statistics in Medicine 2014; 33(27): 4695–4708.
-
(2014)
Statistics in Medicine
, vol.33
, Issue.27
, pp. 4695-4708
-
-
Royston, P.1
Sauerbrei, W.2
-
39
-
-
84884182515
-
Interaction of treatment with a continuous variable: simulation study of significance level for several methods of analysis
-
Royston P, Sauerbrei W. Interaction of treatment with a continuous variable: simulation study of significance level for several methods of analysis. Statistics in Medicine 2013; 32(22): 3788–3803.
-
(2013)
Statistics in Medicine
, vol.32
, Issue.22
, pp. 3788-3803
-
-
Royston, P.1
Sauerbrei, W.2
|