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Table 2 Comparison of classification methods for estimating BSI rate and difference in adjusted rates with 10% identifier error (simulated datasets 10-12)

From: Evaluating bias due to data linkage error in electronic healthcare records

Classification N Infections Crude rate (95% CI) N × 1000 54 , 826 bed days Standard error % bias Difference in adjusted rates (95% CI) Standard error % bias
Gold standard 1000 18.24 0.577   5.514 1.214  
10: Random error
HW 869 15.84 (14.79, 16.90) 0.646 -13.1 4.55 (2.33, 6.76) 1.129 -17.5
PII MPD = 0.1 1038 18.94 (17.67, 20.21) 0.646 3.8 5.32 (2.75, 7.89) 1.313 -3.5
PII MPD = 0.9 860 15.69 (14.61, 16.77) 0.551 -14.0 4.45 (2.18, 6.72) 1.160 -19.3
11: Non-random error; by covariate
HW 886 16.15 (15.09, 17.21) 0.543 -11.4 10.93 (8.61, 13.24) 1.183 98.2
PII MPD = 0.1 1010 18.41 (17.21, 19.62) 0.614 1.0 11.69 (9.12, 14.26) 1.311 111.9
PII MPD = 0.9 858 15.65 (14.57, 16.72) 0.548 -14.2 11.454 (9.09, 13.82) 1.208 107.7
12: Non-random error; by outcome
HW 364 6.65 (5.98, 7.32) 0.343 -63.6 1.94 (0.53, 3.35) 0.720 -64.9
PII MPD = 0.1 684 12.48 (10.87, 14.09) 0.822 -31.6 3.36 (0.51, 6.20) 1.453 -39.1
PII MPD = 0.9 217 3.95 (3.39, 4.51) 0.287 -78.3 1.20 (0.00, 2.39) 0.610 -78.3