Sequential monitoring of clinical trials: The role of information and brownian motion
Sequential monitoring has been a topic of major interest in clinical trials methodology over the past two decades. This paper presents a unified conceptual framework for sequential monitoring that covers a wide variety of monitoring procedures in a wide variety of clinical trial settings. The centra...
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| Veröffentlicht in: | Statistics in medicine 1993-04, Vol.12 (8), p.753-765 |
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| container_title | Statistics in medicine |
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| creator | Lan, K. K. Gordon Zucker, David M. |
| description | Sequential monitoring has been a topic of major interest in clinical trials methodology over the past two decades. This paper presents a unified conceptual framework for sequential monitoring that covers a wide variety of monitoring procedures in a wide variety of clinical trial settings. The central elements of this framework consist of a suitable concept of statistical information and a scheme for using this concept as a basis for summarizing the accumulating results of a trial in a standardized form, through a stochastic process that can be shown to approximate classical Brownian motion. The ideas are developed in a simple step‐by‐step fashion and illustrated by several practical examples. |
| doi_str_mv | 10.1002/sim.4780120804 |
| format | Article |
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The ideas are developed in a simple step‐by‐step fashion and illustrated by several practical examples.</description><subject>Biophysical Phenomena</subject><subject>Biophysics</subject><subject>Clinical Protocols</subject><subject>Clinical Trials as Topic</subject><subject>Data Interpretation, Statistical</subject><subject>Humans</subject><subject>Likelihood Functions</subject><subject>Linear Models</subject><subject>Proportional Hazards Models</subject><subject>Random Allocation</subject><subject>Research Design</subject><subject>Stochastic Processes</subject><subject>Survival Rate</subject><subject>Time Factors</subject><issn>0277-6715</issn><issn>1097-0258</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1993</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkL1PwzAQxS0EglJY2ZAysaXYib_ChhCUSgGGtoLNihMbDIkNdirof4-rVCAmbjnp3ns_6R4AJwhOEITZeTDdBDMOUQY5xDtghGDBUpgRvgtGMGMspQyRA3AYwiuECJGM7YN9ThAlRTYCy7n6WCnbm6pNOmdN77yxz4nTSd0aa-p47n0Uw0WyeFGJd63aiMZq57uqN84mlW0S6d2nNZWNjM3tCOzpmFHH2z0Gy5vrxdVtWj5MZ1eXZVrjOGldQ8YLWVBcYc65IpJpmmHcFHXeaClzJqFUmOeUNVDrjHIuWY4VJYRiqVU-BmcD9927-EboRWdCrdq2ssqtgmCE8ZwUJBong7H2LgSvtHj3pqv8WiAoNj2K2KP47TEGTrfklexU82PfFhf1YtA_TavW_9DEfHb3h50OWRN69fWTrfyboCxnRDzeT8VjCe9u7p9KMc-_AXlbjvE</recordid><startdate>19930430</startdate><enddate>19930430</enddate><creator>Lan, K. 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Med</addtitle><date>1993-04-30</date><risdate>1993</risdate><volume>12</volume><issue>8</issue><spage>753</spage><epage>765</epage><pages>753-765</pages><issn>0277-6715</issn><eissn>1097-0258</eissn><abstract>Sequential monitoring has been a topic of major interest in clinical trials methodology over the past two decades. This paper presents a unified conceptual framework for sequential monitoring that covers a wide variety of monitoring procedures in a wide variety of clinical trial settings. The central elements of this framework consist of a suitable concept of statistical information and a scheme for using this concept as a basis for summarizing the accumulating results of a trial in a standardized form, through a stochastic process that can be shown to approximate classical Brownian motion. 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| ispartof | Statistics in medicine, 1993-04, Vol.12 (8), p.753-765 |
| issn | 0277-6715 1097-0258 |
| language | eng |
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| source | MEDLINE; Wiley Online Library All Journals |
| subjects | Biophysical Phenomena Biophysics Clinical Protocols Clinical Trials as Topic Data Interpretation, Statistical Humans Likelihood Functions Linear Models Proportional Hazards Models Random Allocation Research Design Stochastic Processes Survival Rate Time Factors |
| title | Sequential monitoring of clinical trials: The role of information and brownian motion |
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