ADDPLAN® Software. ADDPLAN is fully validated, 21 CFR Part 11 compliant statistical software, for the design, simulation and analysis of adaptive clinical trials. It combines the key features of planning and conducting a sequentially planned clinical trial within a user-friendly interface. ADDPLAN is currently used by regulatory agencies, including the including the U.S. Food and Drug Administration (FDA), the European Medicines Agency (EMA), and Japan’s Pharmaceuticals & Medical Devices Agency (PMDA), as well as over fifty top pharmaceutical and medical device companies and numerous leading academic researchers. It is the first statistical software package to incorporate a majority of the requirements in the FDA “Draft Guidance on Adaptive Design for Clinical Trials for Drugs and Biologics”. Examples include the use of multiple comparison procedures for multi-armed adaptive trials, including treatment selection designs, flexible combination of clinical research phases, and patient enrichment designs.
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References in zbMATH (referenced in 10 articles )
Showing results 1 to 10 of 10.
- Kevin Kunzmann, Maximilian Pilz, Carolin Herrmann, Geraldine Rauch, Meinhard Kieser: The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R (2021) not zbMATH
- Yueqi Shen, Matthew A. Psioda, Joseph G. Ibrahim: BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models (2021) arXiv
- Daniel Sabanés Bové, Wai Yin Yeung, Giuseppe Palermo, Thomas Jaki: Model-Based Dose Escalation Designs in R with crmPack (2019) not zbMATH
- Thomas Jaki; Philip Pallmann; Dominic Magirr: The R Package MAMS for Designing Multi-Arm Multi-Stage Clinical Trials (2019) not zbMATH
- Florian Gerber; Thomas Gsponer: gsbDesign: An R Package for Evaluating the Operating Characteristics of a Group Sequential Bayesian Design (2016) not zbMATH
- Schmidt, Rene; Faldum, Andreas; Witt, Olaf; Gerß, Joachim: Adaptive designs with arbitrary dependence structure (2014)
- Bebu, Ionut; Dragalin, Vladimir; Luta, George: Confidence intervals for confirmatory adaptive two-stage designs with treatment selection (2013)
- Zhu, Li; Ni, Liyun; Yao, Bin: Group sequential methods and software applications (2011)
- John Kairalla; Christopher Coffey; Keith Muller: GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots (2008) not zbMATH
- Wassmer, Gernot: Planning and analyzing adaptive group sequential survival trials (2006)