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. Author manuscript; available in PMC: 2017 Aug 30.
Published in final edited form as: Stat Methods Med Res. 2012 Oct 14;25(1):488–501. doi: 10.1177/0962280212460442

Table 2.

Change in BARI 2D Risk Factor Control Status

Risk Factor Percent of Participants In Control Jump*
p-val
Slope*
p-val
Baseline Year 1 Year 3 Year 5
LDL-C 60 75 83 85 <0.0001
Jump
<0.0001
Improve
Non-HDL-C 54 71 79 83 <0.0001
Jump
<0.0001
Improve
Triglycerides 51 57 61 64 0.005
Jump
<0.0001
Improve
Systolic BP 50 56 62 62 0.0013
Jump
<0.0001
Improve
Diastolic BP 69 71 75 79 0.64
No Jump
<0.0001
Improve
Non-Smoker 88 90 91 91 0.0013
Jump
0.12
Maintain
A1C 40 51 48 46 <0.0001
Jump
<0.0001
Degrade
Meet all goals 6 10 13 13 <0.0001
Jump
0.13
Maintain
*

p-values computed using a GEE logit(meet goal) = B0+B1*baseline +B2* year, taking into account multiple observations per participant. Baseline is an indicator variable for the baseline value and year is continuous year of follow-up (0–5). Testing the significance of B1 is testing if the baseline value can be predicted by the same slope as the year 1–5 data. The jump p-value corresponds to the test B1=0. The slope p-value corresponds to the test B2=0. Significance tests based on N=1854 participants with complete data at each of baseline, year 1 and year 3.

N=1854. These include three year survivors who had complete data at each of the baseline, year 1 and year 3 visits. At year 5, N=1062 due to late recruitment, loss to follow-up and deaths. Analysis restricted to reflect changes in risk factor status of individuals across time. Allowing all data to be used (not restricting to 3-year survivors with baseline, year 1 and year 3 visits) the percentages in the above table change less than 2% and the conclusion from the tests remain the same, with all significant p-values < 0.001 and all non-significant p-values > 0.075.