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Table 2 Comparison of respondents and drop-outs in wave 2 by their characteristicsb

From: Modelling attrition and nonparticipation in a longitudinal study of prostate cancer

Characteristic Respondents (%) Drop-Outs (%) p-valued, c Attrition Rate (%)
Age at Diagnosis    0.009  
 40–59 33 31   36
 60–69 45 40   35
 70–79 22 29   45
Race    < 0.001  
 AAa 47 58   43
 EAa 53 43   33
Study Phase    0.010  
 Post-Ka 85 79   36
 Pre-Ka 15 21   46
Income    < 0.001  
 $0–30,000 35 53   47
 $30,001–70,000 34 32   36
 ≥ $70,001 32 16   23
Education    < 0.001  
 ≤ High School 42 61   47
 > High School 58 39   29
REALM a Score    < 0.001  
 ≤ 6th Grade 19 34   52
 7th or 8th Grade 21 20   37
 High School 60 46   32
Cancer Aggressiveness    < 0.001  
 Low 54 44   33
 Intermediate 32 28   34
 High 14 28   55
PPC a Score    0.011  
 Mean (SD) 3.88 (0.79) 3.75 (0.89)   38
CCI a    0.030  
 Mean (SD) 0.97 (1.41) 1.15 (1.47)   38
  1. aAA african american, EA european american, Post-K post-katrina, Pre-K pre-katrina, REALM rapid estimate of adult literacy in medicine, PPC patient provider communication, CCI charlson comorbidity index
  2. bMissing data: Income (n = 155), Education (n = 2), REALM score (n = 2), Tumor aggressiveness (n = 83), PPC score (n = 16), CCI (n = 4)
  3. cPearson chi-square tests for categorical variables and two-sample t-tests for continuous variables were used to assess associations between characteristics and participation status. Note that for the PPC score, the p-value for equality of variances was 0.004, thus Satterhwaite’s approximation was used; for the CCI the p-value for equality of variances was 0.2878
  4. dSignificant p-values at Type I error 0.05 are bolded