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Missing data characteristics
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To assess a new approach (weighting by “income probabilities [IP]”) that uses US Census data from the patients' communities to approximate individual-level income, an important but often missing variable in health services research.
13p
vigamora
25-05-2023
4
2
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In this paper, we propose the need to examine the causes of missing data in a medical dataset to ensure that the right imputation method is used in solving the problem. The mechanism of missingness in datasets was studied to know the missing pattern of datasets and determine a suitable imputation technique to generate complete datasets.
17p
redemption
20-12-2021
9
0
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Stage is a key predictor of cancer survival. Complete cancer staging is vital for understanding outcomes at population level and monitoring the efficacy of early diagnosis initiatives.
10p
vibaku2711
22-07-2020
18
2
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There are three characteristics of the data that complicate this procedure. First, CEOs often hold options that they received before they became CEO. Second, the exercise price is sometimes missing. Third, the proxies report option gains as a dollar value, so it is impossible to determine exactly which options were sold in a given year. We are helped, however, by the fact that proxies sometimes contain information on the total number of options held by the CEO (or alternatively the total number of vested options held by the CEO).
33p
bocapchetnguoi
06-12-2012
51
2
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We use data from a variety of sources. Our primary file on firm characteristics is the Robert Wood Johnson Foundation 1997 Employer Health Insurance Survey (EHIS). The survey collects a rich set of information about the firms: regardless of whether insurance is offered, establishment size, 10 broad industry groups, and most important from our perspective, the proportion of female workers and the percent of workers in each of four broad age categories.
12p
quaivatxanh
29-11-2012
78
9
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