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  • Search: subject:"Multiple input descriptor"
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Year of publication
Subject
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Anticancer 2 Antineoplastics 2 Attrition rate 2 CAGR 2 DCF 2 Development phase 2 Drug Royalty data 2 Drug class 2 IP 2 IPC code 2 Licensee 2 Licensing deal 2 Life sciences 2 Market Size 2 Milestones 2 Multiple input descriptor 2 Multivariable analysis 2 P-Value 2 Prediction 2 Regression 2 Revenue 2 Royalty rate 2 Significance level 2 TCT median value 2 Up-front Payment 2 Up-front fee 2 Valuation 2 eNPV (expected NPV) 2 rNPV 2 Arzneimittel 1 Forecasting model 1 Licence 1 Lizenz 1 Patent 1 Pharmaceutical industry 1 Pharmaceuticals 1 Pharmaindustrie 1 Prognoseverfahren 1 Regression analysis 1 Regressionsanalyse 1
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Online availability
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Free 2
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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In, Youngyong 2 Khee-Su, Bae 2 Kwon, Taehoon 2 Lee, Jeong Hee 2 Lee, Joon Woo 2 Lee, Wangwoo 2
Published in...
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Journal of Open Innovation: Technology, Market, and Complexity 1 Journal of open innovation : technology, market, and complexity 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Valuation method by regression analysis on real royalty-related data by using multiple input descriptors in royalty negotiations in Life Science area-focused on anticancer therapies
Lee, Jeong Hee; Khee-Su, Bae; Lee, Joon Woo; In, Youngyong - In: Journal of Open Innovation: Technology, Market, and … 2 (2016) 21, pp. 1-10
Purpose: This research seeks to answer the basic question, 'What would be the most determining factors if I perform regression analysis using several independent variables?' This paper suggests the way to estimate the proper royalty rate and up-front payment using multiple data I can get simply...
Persistent link: https://www.econbiz.de/10011808520
Saved in:
Cover Image
Valuation method by regression analysis on real royalty-related data by using multiple input descriptors in royalty negotiations in Life Science area-focused on anticancer therapies
Lee, Jeong Hee; Khee-Su, Bae; Lee, Joon Woo; In, Youngyong - In: Journal of open innovation : technology, market, and … 2 (2016) 21, pp. 1-10
Purpose: This research seeks to answer the basic question, “What would be the most determining factors if I perform regression analysis using several independent variables?” This paper suggests the way to estimate the proper royalty rate and up-front payment using multiple data I can get...
Persistent link: https://www.econbiz.de/10011587749
Saved in:
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