2017
DOI: 10.1016/j.critrevonc.2017.09.014
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Systematic literature review of health-related quality of life in locally-advanced non-small cell lung cancer: Has it yet become state-of-the-art?

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Cited by 15 publications
(18 citation statements)
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“…However, more recently, researchers' reporting on how they handled missing data seems to have improved; a systematic review in 2017 found that only 5% of investigators failed to report the statistical methods they used to deal with missing data. 93 Gaps in data collection cannot only lead to biased research findings but can also diminish power to detect differences, and create barriers to applying standard statistical methodology. 94 For instance, Quinten and colleagues found a significant association between baseline PRO compliance and WHO performance status, distant metastases, and cancer site, 21 suggesting that patients in the noncompliance group or the missing group could be disproportionately sicker than those who completed the PRO data.…”
Section: Reducing Missing Datamentioning
confidence: 99%
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“…However, more recently, researchers' reporting on how they handled missing data seems to have improved; a systematic review in 2017 found that only 5% of investigators failed to report the statistical methods they used to deal with missing data. 93 Gaps in data collection cannot only lead to biased research findings but can also diminish power to detect differences, and create barriers to applying standard statistical methodology. 94 For instance, Quinten and colleagues found a significant association between baseline PRO compliance and WHO performance status, distant metastases, and cancer site, 21 suggesting that patients in the noncompliance group or the missing group could be disproportionately sicker than those who completed the PRO data.…”
Section: Reducing Missing Datamentioning
confidence: 99%
“…The issue of missing data is more prominent in longitudinal lung cancer trials, given multiple factors that could affect compliance, such as survival rates and institutional errors. 18,93 Thus, investigators should recognize the importance of developing strategies for both minimizing and coping with missing data in lung cancer clinical trials.…”
Section: Reducing Missing Datamentioning
confidence: 99%
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