2015
DOI: 10.1093/reseval/rvu037
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Applying patent survival analysis in the academic context

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Cited by 5 publications
(9 citation statements)
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“…Identifying the determinants of the length of time it takes for a patent to be granted has typically employed conventional survival analysis techniques in the absence of competing risks. This approach estimates survival and hazard functions and quantifies how covariates affect the hazard of the rate of occurrence of patents granted over time (e.g., Harhoff & Wagner, 2009;Lewensohn et al, 2015;Nakata & Zhang, 2012;Nikzad, 2011;Popp et al, 2004;Regibeau & Rockett, 2008;Xie & Giles, 2011;Yang, 2007). Popp et al (2004), focusing on utility patents granted to applicants in the United States between 1976 and 1996, found the grant lag was influenced by the technology field, with complex technologies, such as computers or biotechnology, taking longer to be granted than other patent applications.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Identifying the determinants of the length of time it takes for a patent to be granted has typically employed conventional survival analysis techniques in the absence of competing risks. This approach estimates survival and hazard functions and quantifies how covariates affect the hazard of the rate of occurrence of patents granted over time (e.g., Harhoff & Wagner, 2009;Lewensohn et al, 2015;Nakata & Zhang, 2012;Nikzad, 2011;Popp et al, 2004;Regibeau & Rockett, 2008;Xie & Giles, 2011;Yang, 2007). Popp et al (2004), focusing on utility patents granted to applicants in the United States between 1976 and 1996, found the grant lag was influenced by the technology field, with complex technologies, such as computers or biotechnology, taking longer to be granted than other patent applications.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Patent characteristics in the relevant literature have been extensive ranging from the technology field (e.g., biotechnology), patent family size, number of claims, forward and backward citations, and number of International Patent Classification classes (Harhoff & Wagner, 2009;Nikzad, 2011;Popp et al, 2004;Xie & Giles, 2011). One limitation of conventional survival analysis methods is that they have ignored or treated nongranted patents or competing events as censored data (Lewensohn et al, 2015), which are likely to bias the probability of the event's occurrence or its association with covariates. Competing events, such as patent applications withdrawn or abandoned, preclude the occurrence of patents turning into valid patent rights, and should be considered in the analysis rather than being discarded or ignored (van Zeebroeck, 2011).…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Moreover, its scope in applications has been extended to technology management. Lewensohn et al [58] conducted a survival analysis of academic patents to discover that the life of a patent is related to the patent, the inventor, and the assignee characteristics. Tsang et al [59] conducted a survival analysis to examine a firm's decision making with regard to patent renewal based on fuel-cell patents.…”
Section: Survival Analysis and Topic Emergencementioning
confidence: 99%
“…Therefore, conventional regression analysis was inapplicable for this study [20]. Finally, although survival analysis has been applied in previous studies to investigate patent maintenance time [21][22][23][24], nearly no study has implemented a survival analysis to explore the characteristics of patents during their approval processes and their statuses after their approval, such as of being assigned and litigated, as well as considered the sizes and types of assignees. This study incorporated a survival analysis to such an effect.…”
Section: Introductionmentioning
confidence: 99%