2005
DOI: 10.1200/jco.2005.07.022
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Learning to Live With Missing Quality-of-Life Data in Advanced-Stage Disease Trials

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Cited by 50 publications
(38 citation statements)
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“…Cancer patients may have a number of physical symptoms, which affect quality of life, thus making it more challenging to recognise depression [4,6,7,12,14]. Many factors are closely related to depression in cancer patients, however little is known about the contributory factors in lung cancer [7,10,14,21,36] Hopwood et al found that functional impairment was the most important risk factor for depression [13].…”
Section: Introductionmentioning
confidence: 97%
“…Cancer patients may have a number of physical symptoms, which affect quality of life, thus making it more challenging to recognise depression [4,6,7,12,14]. Many factors are closely related to depression in cancer patients, however little is known about the contributory factors in lung cancer [7,10,14,21,36] Hopwood et al found that functional impairment was the most important risk factor for depression [13].…”
Section: Introductionmentioning
confidence: 97%
“…Incomplete data are of particular importance in QoL questionnaires, whether generic or specific, where items are aggregated to compute total (sub)scale scores: any missing item in a subscale will cause the whole scale score to be missing. As in other research fields, determining the type of missingness (as defined by Little and Rubin [7] who distinguished the processes of missing completely at random, missing at random and missing not at random) is often considered as the first step in the identification of the most appropriate method for analysis of the data [8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Here, we used TTD in QoL as a conservative approach that took into account nonignorable missing data in cancer clinical trials [18]. Indeed, as can be expected in cancer clinical trials, a substantial proportion of patients often progress or deteriorate and withdraw from the study.…”
mentioning
confidence: 99%