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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: J R Stat Soc Ser C Appl Stat. 2018 Jul 8;68(1):79–97. doi: 10.1111/rssc.12297

Table 2.

Empirical squared bias and empirical relative efficiency (measured with respect to the mean squared error of UDLIM estimate) of marginal lagged effects across five different two-dimensional distributed lag interaction models based on 1000 simulation datasets. The lagged effects of the both exposures are generated from the same cubic-like DL function (moderate departure from a cubic function).

Interaction Structure Metric UDLIM CDLIM TDLIM BTDLIM BCDLIM
(1) No Interaction Squared Bias 0.02 69.51 70.03 7.39 0.10
Relative Efficiency 1.00 0.24 0.25 1.59 3.25
(2) Tukey’s Structure Squared Bias 0.01 990.83 1023.84 35.50 0.09
Relative Efficiency 1.00 0.00 0.00 0.05 1.35
(4) Sparse Squared Bias 0.01 210.32 215.94 10.80 0.52
Relative Efficiency 1.00 0.02 0.02 0.35 1.78
(5) Unstructured Squared Bias 0.01 989.93 1019.06 31.83 0.10
Relative Efficiency 1.00 0.00 0.00 0.04 1.34