Practical considerations for optimal designs in clinical dose finding studies
A key objective in the clinical development of a medicinal drug is the determination of an adequate dose level and, more broadly, the characterization of its dose response relationship. If the dose is set too high, safety and tolerability problems are likely to result, while selecting too low a dose...
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| Veröffentlicht in: | Statistics in medicine 2010-03, Vol.29 (7-8), p.731-742 |
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| creator | Bretz, Frank Dette, Holger Pinheiro, Jose C. |
| description | A key objective in the clinical development of a medicinal drug is the determination of an adequate dose level and, more broadly, the characterization of its dose response relationship. If the dose is set too high, safety and tolerability problems are likely to result, while selecting too low a dose makes it difficult to establish adequate efficacy in the confirmatory phase, possibly leading to a failed program. Hence, dose finding studies are of critical importance in drug development and need to be planned carefully. In this paper, we focus on practical considerations for establishing efficient study designs to estimate relevant target doses. We consider optimal designs for estimating both the minimum effective dose and the dose achieving a certain percentage of the maximum treatment effect. These designs are compared with D‐optimal designs for a given dose response model. Extensions to robust designs accounting for model uncertainty are also discussed. A case study is used to motivate and illustrate the methods from this paper. Copyright © 2010 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/sim.3802 |
| format | Article |
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If the dose is set too high, safety and tolerability problems are likely to result, while selecting too low a dose makes it difficult to establish adequate efficacy in the confirmatory phase, possibly leading to a failed program. Hence, dose finding studies are of critical importance in drug development and need to be planned carefully. In this paper, we focus on practical considerations for establishing efficient study designs to estimate relevant target doses. We consider optimal designs for estimating both the minimum effective dose and the dose achieving a certain percentage of the maximum treatment effect. These designs are compared with D‐optimal designs for a given dose response model. Extensions to robust designs accounting for model uncertainty are also discussed. A case study is used to motivate and illustrate the methods from this paper. 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A case study is used to motivate and illustrate the methods from this paper. 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| source | Wiley Online Library - AutoHoldings Journals; MEDLINE |
| subjects | Asthma - drug therapy Biostatistics Clinical Protocols Clinical Trials as Topic - statistics & numerical data Design optimization dose estimation Dose-Response Relationship, Drug Drug dosages Estimating techniques Humans Maximum Tolerated Dose Medical statistics minimum effective dose model uncertainty Models, Statistical R&D Randomized Controlled Trials as Topic - statistics & numerical data Research & development robust designs Uncertainty |
| title | Practical considerations for optimal designs in clinical dose finding studies |
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