[1] | Higgins JPT, Green SJ, editors. Cochrane Handbook for Systematic Reviews of Interventions. Chichester: John Wiley & Sons Ltd; 2008.
|
[2] | Sterne JAC, Egger M, Moher D, on behalf of the Cochrane Bias Methods Group. Addressing reporting biases. In: Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions. Chichester: Wiley & Sons Ltd; 2008. p. 297–333.
|
[3] | Stewart LA, Clarke MJ, on behalf of the Cochrane Working Party Group on Meta-analysis using Individual Patient Data. Practical methodology of meta-analyses (overviews) using updated individual patient data. Stat Med. 1995;14:2057–79. pmid:8552887 doi: 10.1002/sim.4780141902
|
[4] | Stewart LA, Tierney JF. To IPD or Not to IPD? Advantages and disadvantages of systematic reviews using individual patient data. Eval Health Prof. 2002;25(1):76–97. pmid:11868447 doi: 10.1177/0163278702025001006
|
[5] | Stewart LA, Tierney JF, Clarke M, on behalf of the Cochrane Individual Patient Data Meta-analysis Methods Group. Reviews of individual patient data. In: Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions. Chichester: Wiley & Sons Ltd; 2008. p. 547–58.
|
[6] | Duchateau L, Pignon J-P, Bijnens L, Bertin S, Bourhis J, Sylvester R. Individual patient-versus literature-based meta-analysis of survival data: Time to event and event rate at a particular time can make a difference, an example based on head and neck cancer. Control Clin Trials. 2001;22(5):538–47. pmid:11578787 doi: 10.1016/s0197-2456(01)00152-0
|
[7] | Stewart LA, Parmar MKB. Meta-analysis of the literature or of individual patient data: is there a difference? Lancet. 1993;341:418–22. pmid:8094183 doi: 10.1016/0140-6736(93)93004-k
|
[8] | Jeng GT, Scott JR, Burmeister LF. A comparison of meta-analytic results using literature versus individual patient data: paternal cell immunization for recurrent miscarriage. Journal of the American Medical Association. 1995;274:840–36. doi: 10.1001/jama.274.10.830
|
[9] | Collaboration EHT. Value of updating a systematic review in surgery using individual patient data. Br J Surg. 2004;91:495–9. pmid:15048755 doi: 10.1002/bjs.4467
|
[10] | Chalmers I. The Cochrane Collaboration: preparing, maintaining and disseminating systematic reviews of the effects of health care. Annals of New York Academy of Sciences. 1993;703:156–65. doi: 10.1111/j.1749-6632.1993.tb26345.x
|
[11] | Riley RD, Lambert PC, Abo-Zaid G. Meta-analysis of individual participant data: rationale, conduct, and reporting. BMJ. 2010;340:c221. doi: 10.1136/bmj.c221. pmid:20139215
|
[12] | Ahmed I, Sutton AJ, Riley RD. Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey. BMJ. 2012;344:d7762. doi: 10.1136/bmj.d7762. pmid:22214758
|
[13] | Vale CL, Rydzewska LHM, Rovers MM, Emberson JR, Gueyffier F, Stewart LA. Uptake of systematic reviews and meta-analyses based on individual participant data in clinical practice guidelines: descriptive study. BMJ. 2015; 350;h1088. doi: 10.1136/bmj.h1088. pmid:25747860
|
[14] | Tierney JF, Pignon J-P, Gueffyier F, Clarke M, Askie L, Vale CL, et al. How individual participant data meta-analyses can influence trial design and conduct J Clin Epidemiol. 2015; In press.
|
[15] | Booth A, Clarke M, Ghersi D, Moher D, Petticrew M, Stewart L. An international registry of systematic-review protocols. Lancet. 2011;377(9760):108–9. doi: 10.1016/S0140-6736(10)60903-8. pmid:20630580
|
[16] | Advanced Ovarian Cancer Trialists Group. Chemotherapy in advanced ovarian cancer: an overview of randomised clinical trials. BMJ. 1991;303:884–93. pmid:1834291 doi: 10.1136/bmj.303.6807.884
|
[17] | Early Breast Cancer Trialists' Collaborative Group. Tamoxifen for early breast cancer: an overview of the randomised trials. Lancet. 1998;351:1451–67. pmid:9605801 doi: 10.1016/s0140-6736(97)11423-4
|
[18] | Chemoradiotherapy for Cervical Cancer Meta-analysis Collaboration Reducing uncertainties about the effects of chemoradiotherapy for cervical cancer: a systematic review and meta-analysis of individual patient data from 18 randomized trials. J Clin Oncol. 2008;26(35):5802–12. doi: 10.1200/JCO.2008.16.4368. pmid:19001332
|
[19] | Dickersin K. Publication bias: recognising the problem, understanding its origins and scope, and preventing harm. In: Rothstein H, Sutton A, Borenstein M, editors. Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments. Chichester: John Wiley & Sons Ltd; 2005. p. 261–86.
|
[20] | Burdett S, Stewart LA, Tierney JF. Publication bias and meta-analysis (A practical example). Int J Technol Assess Health Care. 2003;19(1):129–34. pmid:12701945
|
[21] | Sakamoto J, Hamada C, Yoshida S, Kodaira S, Yasutomi M, Kato T, et al. An individual patient data meta-analysis of adjuvant therapy with uracil-tegafur (UFT) in patients with curatively resected rectal cancer. British Journal of Cancer. 2007;96(8):1170–7. pmid:17375049 doi: 10.1038/sj.bjc.6603686
|
[22] | DeLuca G, Gibson CM, Bellandi F, Murphy S, Maioli M, Noc M, et al. Early glycoprotein IIb-IIIa inhibitors in primary angioplasty (EGYPT) cooperation: An individual patient data meta-analysis. Heart. 2008;94(12):1548–58. doi: 10.1136/hrt.2008.141648. pmid:18474534
|
[23] | Riley RD, Simmonds MC, Look MP. Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods. J Clin Epidemiol. 2007;60(5):431–9. pmid:17419953 doi: 10.1016/j.jclinepi.2006.09.009
|
[24] | Greb A, Bohlius J, Schiefer D, Schwarzer G, Schulz H, Engert A. High-dose chemotherapy with autologous stem cell transplantation in the first line treatment of aggressive non-Hodgkin lymphoma (NHL) in adults. Cochrane Database Syst Rev. 2008(1):CD004024. doi: 10.1002/14651858.CD004024.pub2. pmid:18254036
|
[25] | Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, Lau J, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011;343:d4002. doi: 10.1136/bmj.d4002. pmid:21784880
|
[26] | Ioannidis JP, Trikalinos TA. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. CMAJ. 2007;176(8):1091–6. pmid:17420491 doi: 10.1503/cmaj.060410
|
[27] | Stewart LA, Clarke M, Rovers M, Riley RD, Simmonds M, Stewart G, et al. Preferred Reporting Items for a Systematic Review and Meta-analysis of Individual Participant Data: The PRISMA-IPD Statement. JAMA. 2015;313(16):1657–65. doi: 10.1001/jama.2015.3656. pmid:25919529
|
[28] | Higgins JPT, Altman DG, on behalf of the Cochrane Statistical Methods Group and the Cochrane Bias Methods Group. Assessing risk of bias in included studies. In: Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions. Chichester: John Wiley & Sons Ltd; 2008.
|
[29] | Higgins JP, Altman DG, Gotzsche PC, Juni P, Moher D, Oxman AD, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928. doi: 10.1136/bmj.d5928. pmid:22008217
|
[30] | Mhaskar R, Djulbegovic B, Magazin A, Soares HP, Kumar A. Published methodological quality of randomized controlled trials does not reflect the actual quality assessed in protocols. J Clin Epidemiol. 2012;65(6):602–9. doi: 10.1016/j.jclinepi.2011.10.016. pmid:22424985
|
[31] | Vale CL, Tierney JF, Burdett S. Can trial quality be reliably assessed from published reports of cancer trials: evaluation of risk of bias assessments in systematic reviews. BMJ. 2013;346:f1798. doi: 10.1136/bmj.f1798. pmid:23610376
|
[32] | Stewart L, Tierney J, Burdett S. Do systematic reviews based on individual patient data offer a means of circumventing biases associated with trial publications? In: Rothstein H, Sutton A, Borenstein M, editors. Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments. Chichester: John Wiley & Sons; 2005. p. 261–86.
|
[33] | Altman DG. Randomisation. BMJ. 1991;302:1481–2. pmid:1855013 doi: 10.1136/bmj.302.6791.1481
|
[34] | Lachin JM. Statistical considerations in the intent-to-treat principle. Control Clin Trials. 2000;21:167–89. pmid:10822117 doi: 10.1016/s0197-2456(00)00046-5
|
[35] | Schulz K, F., Grimes DA. Sample size slippages in randomised trials: exclusions and the lost and wayward. Lancet. 2002;359:781–5. pmid:11888606 doi: 10.1016/s0140-6736(02)07882-0
|
[36] | Juni P, Altman DG, Egger M. Systematic reviews in health care: Assessing the quality of controlled clinical trials. BMJ. 2001;323(7303):42–6. pmid:11440947 doi: 10.1136/bmj.323.7303.42
|
[37] | Tierney JF, Stewart LA. Investigating patient exclusion bias in meta-analysis. Int J Epidemiol. 2005;34:79–87. pmid:15561753 doi: 10.1093/ije/dyh300
|
[38] | Sarcoma Meta-analysis Collaboration. Adjuvant chemotherapy for localised resectable soft tissue sarcoma in adults: meta-analysis of individual patient data. Lancet. 1997;350:1647–54. pmid:9400508 doi: 10.1016/s0140-6736(97)08165-8
|
[39] | Kirkham JJ, Dwan KM, Altman DG, Gamble C, Dodd S, Smyth R, et al. The impact of outcome reporting bias in randomised controlled trials on a cohort of systematic reviews. BMJ. 2010;340:c365. doi: 10.1136/bmj.c365. pmid:20156912
|
[40] | McCormack K, Grant A, Scott N. Value of updating a systematic review in surgery using individual patient data. Br J Surg. 2004;91(4):495–9. pmid:15048755 doi: 10.1002/bjs.4467
|
[41] | Abo-Zaid G, Guo B, Deeks JJ, Debray TP, Steyerberg EW, Moons KG, et al. Individual participant data meta-analyses should not ignore clustering. J Clin Epidemiol. 2013;66(8):865–73 e4. doi: 10.1016/j.jclinepi.2012.12.017. pmid:23651765
|
[42] | Simmonds MC, Higgins JPT, Stewart LA, Tierney JF, Clarke MJ, Thompson SG. Meta-analysis of individual patient data from randomised trials—a review of methods used in practice. Clinical Trials. 2005;2(3):209–17. pmid:16279144 doi: 10.1191/1740774505cn087oa
|
[43] | Bowden J, Tierney JF, Simmonds M, Copas AJ. Individual patient data meta-analysis of time-to-event outcomes: one-stage versus two-stage approaches for estimating the hazard ratio under a random effects model. Research synthesis methods. 2011;2(3):150–62. doi: 10.1002/jrsm.45. pmid:26061783
|
[44] | Yusuf S, Peto R, J.A. L, Collins R, Sleight P. Beta blockade during and after myocardial infarction: an overview of the randomized trials. Prog Cardiovasc Dis. 1985;27:335–71. pmid:2858114 doi: 10.1016/s0033-0620(85)80003-7
|
[45] | Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22(4):719–48. pmid:13655060
|
[46] | DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–88. pmid:3802833 doi: 10.1016/0197-2456(86)90046-2
|
[47] | Turner RM, Omar RZ, Yang M, Goldstein H, Thompson SG. A multilevel model framework for meta-analysis of clinical trials with binary outcomes. Stat Med. 2000;19:3417–32. pmid:11122505 doi: 10.1002/1097-0258(20001230)19:24<3417::aid-sim614>3.0.co;2-l
|
[48] | Higgins JPT, Whitehead A, Turner RM, Omar RZ, Thompson SG. Meta-analysis of continuous outcome data from individual patients. Stat Med. 2001;20:2219–41. pmid:11468761 doi: 10.1002/sim.918
|
[49] | Whitehead A, Omar RZ, Higgins JPT, Savaluny E, Turner RM, Thompson SG. Meta-analysis of ordinal outcomes using individual patient data. Stat Med. 2001;20:2243–60. pmid:11468762 doi: 10.1002/sim.919
|
[50] | Tudur Smith C, Williamson PR, Marson AG. Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes. Stat Med. 2005;24:1307–19. pmid:15685717 doi: 10.1002/sim.2050
|
[51] | Olkin I, Sampson A. Comparison of meta-analysis versus analysis of variance of individual patient data. Biometrics. 1998;54:317–22. pmid:9544524 doi: 10.2307/2534018
|
[52] | Mathew T, Nordstrom K. On the equivalence of meta-analysis using literature and using individual patient data. Biometrics. 1999;55(4):1221–3. pmid:11315071 doi: 10.1111/j.0006-341x.1999.01221.x
|
[53] | Mathew T, Nordstrom K. Comparison of one-step and two-step meta-analysis models using individual patient data. Biometrical journal Biometrische Zeitschrift. 2010;52(2):271–87. doi: 10.1002/bimj.200900143. pmid:20349448
|
[54] | Tudur Smith C, Williamson PR. A comparison of methods for fixed effects meta-analysis of individual patient data with time to event outcomes. Clin Trials. 2007;4(6):621–30. pmid:18042571 doi: 10.1177/1740774507085276
|
[55] | Stewart GB, Altman DG, Askie LM, Duley L, Simmonds MC, Stewart LA. Statistical analysis of individual participant data meta-analyses: a comparison of methods and recommendations for practice. PLoS ONE. 2012;7(10):e46042. doi: 10.1371/journal.pone.0046042. pmid:23056232
|
[56] | Koopman L, van der Heijden GJ, Hoes AW, Grobbee DE, Rovers MM. Empirical comparison of subgroup effects in conventional and individual patient data meta-analyses. Int J Technol Assess Health Care. 2008;24(3):358–61. doi: 10.1017/S0266462308080471. pmid:18601805
|
[57] | Stijnen T, Hamza TH, Ozdemir P. Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data. Stat Med. 2010;29(29):3046–67. doi: 10.1002/sim.4040. pmid:20827667
|
[58] | Deeks JJ, Higgins JPT, Altman DG, on behalf of the Cochrane Statistical Methods Group. Analysing data and undertaking meta-analyses. In: Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions2008. p. 243–96.
|
[59] | Berlin JA, Santanna J, Schmid CH, Szczech LA, Feldman HI, Anti-Lymphocyte Antibody Induction Therapy Study G. Individual patient- versus group-level data meta-regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head. Stat Med. 2002;21(3):371–87. pmid:11813224 doi: 10.1002/sim.1023
|
[60] | Fisher DJ, Copas AJ, Tierney JF, Parmar MKB. A critical review of methods for the assessment of patient-level interactions in individual patient data (IPD) meta-analysis of randomised trials, and guidance for practitioners. J Clin Epidemiol. 2011;64:949–67. doi: 10.1016/j.jclinepi.2010.11.016. pmid:21411280
|
[61] | PORT Meta-analysis Trialists Group. Postoperative radiotherapy in non-small-cell lung cancer: systematic review and meta-analysis of individual patient data from nine randomised controlled trials. Lancet. 1998;352:257–63. pmid:9690404 doi: 10.1016/s0140-6736(98)06341-7
|
[62] | Riley RD, Lambert PC, Staessen JA, Wang J, Gueyffier F, Thijs L, et al. Meta-analysis of continuous outcomes combining individual patient data and aggregate data. Stat Med. 2008;27(11):1870–93. pmid:18069721 doi: 10.1002/sim.3165
|
[63] | Groenwold RH, Donders AR, van der Heijden GJ, Hoes AW, Rovers MM. Confounding of subgroup analyses in randomized data. Arch Intern Med. 2009;169(16):1532–4. doi: 10.1001/archinternmed.2009.250. pmid:19752412
|
[64] | Rydzewska L, Tierney J, Vale C. Obtaining funding for IPD meta-analyses: Top tips for a successful application. 19th Cochrane Colloquium; Madrid, Spain: Wiley-Blackwell; 2011. p. 65.
|
[65] | 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. doi: 10.1186/1471-2288-12-56. pmid:22530717
|
[66] | Riley RD, Dodd SR, Craig JV, Thompson JR, Williamson PR. Meta-analysis of diagnostic test studies using individual patient data and aggregate data. Stat Med. 2008;27(29):6111–36. doi: 10.1002/sim.3441. pmid:18816508
|
[67] | Debray TP, 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. Stat Med. 2013;32(18):3158–80. doi: 10.1002/sim.5732. pmid:23307585
|
[68] | Riley R, Price M, Jackson D, Wardle M, Gueyffier F, Wang J, et al. Multivariate meta-analysis using individual participant data. Research Synthesis Methods. 2015;In press. doi: 10.1002/jrsm.1129.
|
[69] | PROSPERO: International prospective register of systematic reviews .
|
[70] | Rydzewska L, Tierney J, Clarke M, Stewart L, Rovers M. Publication of IPD meta-analyses in The Cochrane Database of Systematic Reviews: Potential barriers and opportunities. 19th Cochrahe Colloquium; Madrid, Spain: Wiley-Blackwell; 2011. p. 150.
|