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Table 4 Linear regression analysis

From: Accuracy and concordance of measurement methods to assess non-adherence after renal transplantation - a prospective study

Dependent Variable

Parameter

B

95% CI

p

R2

TA (Total)

Constant

94.172

87.642, 102.299

.000

.150

Age

−.011

−.032, .014

.396

Sex

.129

−.272, .525

.546

CV%

−.006

−.021, .014

.432

Physician‘s estimates (VAS)

.038

−.041, .103

.415

Self-report (VAS)

.027

−.001, .041

.011*

TM ± 2 h (Total)

Constant

88.732

74.577, 107.131

.000

.143

Age

−.019

−.063, .027

.404

Sex

−.171

−1.026, .680

.701

CV%

−.022

−.060, .011

.178

Physician‘s estimates (VAS)

.052

−.119, .182

.567

Self-report (VAS)

.071

.017, .125

.006*

TM ± 30 min (Total)

Constant

49.713

−4.291, 120.920

.183

.199

Age

−.085

−.244, .066

.297

Sex

−.888

−3.854, 1.865

.556

CV%

.033

−.106, .162

.580

Physician‘s estimates (VAS)

.215

−.469, .783

.607

Self-report (VAS)

.313

.124, .443

.001*

  1. Note: estimates are based on 10,000 Bootstrap-samples, * p < .05, TA = Taking Adherence, TM + -2 h = Timing Adherence + − 2 h,
  2. TM + -30 min = Timing Adherence, CV% = Coefficient of variability, PE = Physicians’ estimates, SR = self-report, VAS = Visual Analogue Scale.