Clinical trials commonly use adjudication committees to refine endpoints, but observational

Clinical trials commonly use adjudication committees to refine endpoints, but observational research or genome-wide association studies rarely do. Other studies of competing events like cancer-specific vs treatment-related mortality would benefit from our results. Our detailed algorithm should result in more consistent reporting of cause-specific deathby centers. 20: S35, 2014 (abstract #20). Conflict-of-Interest The co-authors have no conflicts of interest to disclose. Referrals 1) Majhail NS, Chitphakdithai P, Logan B, et al. Significant improvement in survival (R,R)-Formoterol supplier after unrelated donor hematopoietic cell transplantation in the recent era. Biol Blood Marrow Transplant. 2015;21:142C150. [PMC free article] [PubMed] 2) Walovitch R, Yao B, Chokron P, Le H, Bubley G. Subjective endpoints in medical trials: the case for blinded self-employed central review. J Clin Tests. 2013;5:111C17. 3) Copelan E, Casper JT, Carter SL, et al. A plan for defining cause of death and its software in the T cell depletion trial. Biol Blood Marrow Transplant. 2007;13:1469C76. [PubMed] 4) Gratwohl A, Brand R, Frassoni F, et al. Cause of death after allogeneic haematopoietic stem cell transplantation (HSCT) in early leukaemias: an EBMT analysis of lethal infectious complications and changes over calendar time. Bone Marrow Transplant. 2005;36:757C769. (R,R)-Formoterol supplier [PubMed] 5) Wingard JR, Majhail NS, Brazauskas R, et al. Fzd10 Long-term survival and late deaths after allogeneic hematopoietic cell transplantation. J Clin Oncol. 2011;29:2230C39. [PMC free article] [PubMed] 6) Martin PJ, Counts GW, Appelbaum FR, et al. Life expectancy in patients surviving more than 5 years after hematopoietic cell transplantation. J Clin Oncol. 2010;28:1011C16. [PMC free article] [PubMed] 7) Wray NR, Lee SH, Kendler KS. Effect of diagnostic misclassification on estimation of genetic correlations using genome-wide genotypes. Eur J Hum Gen. 2012;20:668C674. [PMC free article] [PubMed] 8) Pasquini MC, Wang Z, Horowitz MM, Gale RP. 2010 statement from the Center for International Blood and Marrow Transplant Study (CIBMTR): current uses and results of hematopoietic cell transplants for blood and bone marrow disorders. Clin Transpl. 2010;210:87C105. [PubMed] 9) Dechartres A, Boutron I, Roy C, Ravaud P. Inadequate planning and reporting of adjudication committees in medical trials: recommendation proposal. J Clin Epidemiol. 2009;62:695C702. [PubMed] 10) Gwet KL. Inter-Rater Reliability: Dependency on Trait Prevalence and Marginal Homogeneity. Stat (R,R)-Formoterol supplier Methods IRR Assessment. 2002;2:1C9. 11) Gwet KL. Computing inter-rater reliability and its variance in the presence of high agreement. Br J Math Stat Psychol. 2008;61:29C48. [PubMed] 12) Banerjee M, Capozzoli M, McSweeney L, Sinha D. Beyond Kappa: A Review of Interrater Agreement Actions. Canadian J Stat. 1999;27:3C23. 13) Sim J, Wright CC. The kappa statistic in reliability studies: use, interpretation, and sample size requirements. Phys Ther. 2005;85:257C68. [PubMed] 14) Hoehler FK. Bias and prevalence effects on kappa viewed in terms of level of sensitivity and specificity. J Clin Epidemiol. 2000;53:499C503. [PubMed] 15) Wongpakaran N, Wongpakaran T, Wedding D, Gwet KL. A comparison of (R,R)-Formoterol supplier Cohens Kappa and Gwets AC1 when calculating inter-rater reliability (R,R)-Formoterol supplier coefficients: a study conducted with personality disorder samples. BMC Med Res Methodol. 2013;13:61. [PMC free article] [PubMed] 16) Ludbrook J. Statistical techniques for comparing measurers and methods of measurement: a critical review. Clin Exp Pharmacol Physiol. 2002;29:527C36. [PubMed] 17) Efron B. Better bootstrap confidence intervals (with discussions) J Amer Stat Assoc. 1987;82:171C200. 18) Hoehler FK. Bias and prevalence effects on kappa viewed in terms of level of sensitivity and specificity. J Clin Epidemiol. 2000;53:499C503. [PubMed] 19) Cicchetti DV, Feinstein AR. Large agreement but low kappa, II: resolving the paradoxes. J Clin Epidemiol. 1990;43:551C558. [PubMed] 20) Agresti A. Series in probability and statistics. 3rd ed Wiley; Hoboken, NJ: 2013. Categorical data analysis; p. 714. 21) Agresti A, Lang JB. Quasi-symmetric latent class.