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. 2013 Apr 19;105(11):791–801. doi: 10.1093/jnci/djt073

Table 4.

Linear regression models Predicting Patient’s Assessment of Own Functioning Inventory (PAOFI) higher-level cognition (HLC) (n = 182)*

Base model adjusted R 2 = 0.21 Base model plus BDI-II adjusted R 2 = 0.34
Variable Estimate (95% CI) P Estimate (95% CI) P
Age 0.002 (–0.008 to 0.013) .691 0.007 (–0.003 to 0.017) .145
IQ –0.003 (–0.012 to 0.007) .582 –0.002 (–0.010 to 0.006) .659
Treatment
Radiation 0.030 (–0.204 to 0.265) .799 0.064 (–0.151 to 0.278) .558
Chemotherapy 0.282 (–0.019 to 0.584) .066 0.151 (–0.128 to 0.429) .286
Chemotherapy & radiation 0.258 (0.029 to 0.486) .027 0.208 (–0.001 to 0.417) .051
Hormone therapy 0.234 (0.047 to 0.421) .015 0.150 (–0.023 to 0.323) .089
Visual memory§ 0.135 (0.037 to 0.233) .007 0.101 (0.011 to 0.191) .029
Psychomotor speed§ –0.080 (–0.236 to 0.077) .315 –0.037 (–0.181 to 0.106) .611
Executive function§ –0.126 (–0.271 to 0.019) .088 –0.120 (–0.252 to 0.012) .074
BDI-II|| ----- ----- 0.035 (0.023 to 0.046) <.001

* PAOFI HLC score transformed with log(x+1). BDI-II = Beck Depression Inventory–II; CI = confidence interval.

† Estimates were tested for H0: estimate=0 with a t statistic, controlling for all other variables in the regression model; all tests were two-sided.

§ Scores were calculated by comparing participants’ scores against age-corrected normative scores with a mean of 0 and SD of 1, with positive (ie, > 0) scores representing higher/better performance.

|| BDI-II is calculated without the item pertaining to concentration.