$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Choosing Appropriate Metrics to Evaluate Adverse Events in Safety Evaluation

Therapeutic innovation & regulatory science, v.49 no.3, 2015년, pp.398 - 404  

Zhou, Ying (Global Biostatistical Science, Amgen Inc, Thousand Oaks, CA, USA) ,  Ke, Chunlei (Global Biostatistical Science, Amgen Inc, Thousand Oaks, CA, USA) ,  Jiang, Qi (Global Biostatistical Science, Amgen Inc, Thousand Oaks, CA, USA) ,  Shahin, Seta (Global Biostatistical Science, Amgen Inc, Thousand Oaks, CA, USA) ,  Snapinn, Steven (Global Biostatistical Science, Amgen Inc, Thousand Oaks, CA, USA)

Abstract AI-Helper 아이콘AI-Helper

Safety assessment and monitoring are critical throughout the life cycle of drug development. The evaluation of safety information, specifically adverse events, from clinical trials has always been challenging for a number of reasons, such as the unexpectedness and rarity of some important adverse ev...

주제어

참고문헌 (28)

  1. Management of Safety Information from Clinical Trials. 2005 Report of Council for International Organizations of Medical Sciences (CIOMS) Working Group VI Management of Safety Information from Clinical Trials. Report of Council for International Organizations of Medical Sciences (CIOMS) Working Group VI. Geneva, Switzerland: World Health Organization; 2005. 

  2. Stat Biopharm Res B Crowe 5 3 180 2013 10.1080/19466315.2013.791640 Crowe B, Brueckner A, Beasley C, Kulkarni P. Current practices, challenges, and statistical issues with product safety labeling. Stat Biopharm Res. 2013;5(3):180-193. 

  3. Drug Inf J C Chuang-Stein 32 1363 1998 10.1177/00928615980320S132 Chuang-Stein C. Safety analysis in controlled clinical trials. Drug Inf J. 1998;32:1363-1372. 

  4. J Biopharm Stat O Siddiqui 19 5 889 2009 10.1080/10543400903105463 Siddiqui O. Statistical methods to analyze adverse events data of randomized clinical trials. J Biopharm Stat. 2009;19(5):889-899. 

  5. N Engl J Med DM Black 356 1809 2007 10.1056/NEJMoa067312 Black DM, Delmas PD, Eastell R, et al. Once-yearly zoledronic acid for treatment of postmenopausal osteoporosis. N Engl J Med. 2007;356:1809-1822. 

  6. Stat Med GF Liu 25 1275 2006 10.1002/sim.2335 Liu GF, Wang J, Liu K, Snavely DB. Confidence intervals for an exposure adjusted incidence rate difference with applications to clinical trials. Stat Med. 2006;25:1275-1286. 

  7. N Engl J Med RS Bresalier 352 11 1092 2005 10.1056/NEJMoa050493 Bresalier RS, Sandler PS, Quan H, et al. Cardiovascular events associated with rofecoxib in a colorectal adenoma chemoprevention trial. N Engl J Med. 2005;352(11):1092-1102. 

  8. Drug Inf J G Rosenkranz 40 79 2006 10.1177/009286150604000110 Rosenkranz G. Analysis of adverse events in the presence of discontinuations. Drug Inf J. 2006;40:79-87. 

  9. Biometrics DF Heitjan 49 1099 1993 10.2307/2532251 Heitjan DF. Ignorability and coarsening: some biomedical examples. Biometrics. 1993;49:1099-1109. 

  10. Biometrika DY Lin 83 381 1996 10.1093/biomet/83.2.381 Lin DY, Robins JM, Wei LJ. Comparing two failure time distributions in the presence of dependent censoring. Biometrika. 1996;83:381-393. 

  11. Biometrika JP Fine 88 907 2001 10.1093/biomet/88.4.907 Fine JP, Jiang H, Chappell R. On semi-competing risks data. Biometrika. 2001;88:907-919. 

  12. Controlled Clin Trials H Jiang 24 135 2003 10.1016/S0197-2456(02)00307-0 Jiang H, Chappell R, Fine JP. Estimating the distribution of nonterminal event time in the presence of mortality or informative dropout. Controlled Clin Trials. 2003;24:135-146. 

  13. Berkrot B. Biogen reports 10 more Tysabri PML cases, 4 deaths. Reuters, February 18, 2011. Available at: http://www.reuters.com/article/2011/02/18/biogen-tysabri-idUSN1811430320110218. 

  14. Xie T, et al. Statistical analysis of safety data in long-term clinical trials. Paper presented at the Joint Statistical Meetings-Biometrics Section; New York City, New York; 2002. 

  15. Pharm Stat SS Menjoge 2 191 2003 10.1002/pst.37 Menjoge SS. On estimation of frequency data with censored observations. Pharm Stat. 2003;2:191-197. 

  16. WB Nelson 2003 Recurrent Events Analysis for Product Repairs, Disease Recurrences, and Other Applications 10.1137/1.9780898718454 Nelson WB. Recurrent Events Analysis for Product Repairs, Disease Recurrences, and Other Applications. ASA-SIAM Series on Statistics and Applied Probability. Philadelphia, PA: Society for Industrial and Applied Mathematics; 2003. 

  17. J R Stat Soc B DY Lin 62 4 711 2000 10.1111/1467-9868.00259 Lin DY, Wei LJ, Yang I, Ying Z. Semiparametric regression for the mean and rate functions of recurrent events. J R Stat Soc B. 2000;62(4):711-730. 

  18. N Engl J Med A Laupacis 318 26 1728 1988 10.1056/NEJM198806303182605 Laupacis A, Sackett DL, Roberts RS. An assessment of clinically useful measures of the consequences of treatment. N Engl J Med. 1988;318(26):1728-1733. 

  19. J Clin Epidemiol TJ Mayne 59 217 2006 10.1016/j.jclinepi.2005.07.006 Mayne TJ, Whalen E, Vu A. Annualized was found better than absolute risk reduction in the calculation of number needed to treat in chronic conditions. J Clin Epidemiol. 2006;59:217-223. 

  20. BMJ DG Altman 317 7168 1309 1998 10.1136/bmj.317.7168.1309 Altman DG. Confidence intervals for the number needed to treat. BMJ. 1998;317(7168):1309-1312. 

  21. JD Kalbfleisch 2002 The Statistical Analysis of Failure Time Data 2nd ed 10.1002/9781118032985 Kalbfleisch JD, Prentice RL. The Statistical Analysis of Failure Time Data. 2nd ed. New York, NY: John Wiley; 2002. 

  22. Biometrika DM Dabrowska 76 763 1989 10.1093/biomet/76.4.763 Dabrowska DM, Doksum KA, Song J. Graphical comparison of cumulative hazards for two populations. Biometrika. 1989;76:763-773. 

  23. Biometrika DY Lin 81 73 1994 10.2307/2337051 Lin DY, Fleming T, Wei LJ. Confidence bands for survival curves under the proportional hazards model. Biometrika. 1994;81:73-82. 

  24. Scand J Stat MI Parzen 24 309 1997 10.1111/1467-9469.t01-1-00065 Parzen MI, Wei LJ, Ying Z. Simultaneous confidence intervals for the difference of two survival functions. Scand J Stat. 1997;24:309-314. 

  25. Epidemiology S Greenland 4 32 1993 10.1097/00001648-199301000-00007 Greenland S. Additive risk versus additive relative risk models. Epidemiology. 1993;4:32-36. 

  26. Arch Dis Child AK Akobeng 90 54 2005 10.1136/adc.2004.052233 Akobeng AK. Understanding measures of treatment effect in clinical trials. Arch Dis Child. 2005;90:54-56. 

  27. Acta Psychiatr Scand L Citrome 121 94 2010 10.1111/j.1600-0447.2009.01449.x Citrome L. Relative vs. absolute measures of benefit and risk: what’s the difference? Acta Psychiatr Scand. 2010;121:94-102. 

  28. Guidance for industry, diabetes mellitus-evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes. Silver Spring, MD: US Department of Health and Human Services, Food and Drug Administration; 2008. 

관련 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로