2017
DOI: 10.1111/cts.12478
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The Burden of the “False‐Negatives” in Clinical Development: Analyses of Current and Alternative Scenarios and Corrective Measures

Abstract: The "false-negatives" of clinical development are the effective treatments wrongly determined ineffective. Statistical errors leading to "false-negatives" are larger than those leading to "false-positives," especially in typically underpowered early-phase trials. In addition, "false-negatives" are usually eliminated from further testing, thereby limiting the information available on them. We simulated the impact of early-phase power on economic productivity in three developmental scenarios. Scenario 1, represe… Show more

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Cited by 25 publications
(23 citation statements)
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References 44 publications
(104 reference statements)
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“…Multiple statistical approaches can quickly be used to analyze a same set of data, which generates the temptation of p-hacking, i.e., manipulation of data in a way that produces a desired (low) p value (Raj et al, 2018;Ulrich and Miller, 2015). The easy access to the entire literature has also generated a fascination for rankings and for publication in high impact factor journals of perfect, often underpowered, stories (Burt et al, 2017;Button et al, 2013) that sometimes represent selections of positive data ignoring the many failed attempts, which creates a false impression of the current state of knowledge (Brembs et al, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Multiple statistical approaches can quickly be used to analyze a same set of data, which generates the temptation of p-hacking, i.e., manipulation of data in a way that produces a desired (low) p value (Raj et al, 2018;Ulrich and Miller, 2015). The easy access to the entire literature has also generated a fascination for rankings and for publication in high impact factor journals of perfect, often underpowered, stories (Burt et al, 2017;Button et al, 2013) that sometimes represent selections of positive data ignoring the many failed attempts, which creates a false impression of the current state of knowledge (Brembs et al, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Given that the reliability of ground-truth determination is capped by the 85.1% theoretical maximal prediction accuracy of drug clinical efficacy by human clinical trials 34 , we should refrain from directly labeling missed predictions as false without further consideration of subsequent developments. In particular, we should pay attention to missed failure predictions for phase 2b trials that are less statistically powered than phase 3 trials.…”
Section: Ground-truth Determinationmentioning
confidence: 99%
“…Impact of false negatives on infection control: Poor assay sensitivity is directly proportional to the number of false negative results [ 7 ]. However, even assays with the most optimal analytical performance can yield FN results: e.g., when sampling is inadequate (below the minimal quantity of biological material collected), or the integrity of the sample is compromised during transportation and/or storage, when the assay is inhibited, or when there is any other pre-analytical manipulation compromising the accuracy of reported results [ 2 , 8 , 9 , 10 , 11 ]. Although these can be largely mitigated by streamlined and effective testing pipelines, the need for sample adequacy controls become critically essential, as testing volumes increase, when sample types become diverse and when self-sampling strategies become incorporated into testing algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…Initially, these were limited to nasopharyngeal swabs, but now have been extended to saliva, mouth gargles, nasal, oral and rectal swabs, as well as self-collected samples [ 10 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. The relative frequency of FN samples is generally high (2–38%) and dependent on multiple variables [ 7 , 9 , 10 ]. FN screening results for COVID-19 test have detrimental social, economic and health impact, by offsetting the effectiveness of screening efforts and prolonging the pandemic.…”
Section: Introductionmentioning
confidence: 99%