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. Author manuscript; available in PMC: 2007 Mar 2.

Published in final edited form as: Stat Med. 2007 Feb 28;26(5):1055–1068. doi: 10.1002/sim.2593

Table 2.

Variance Ratios (var $({\hat{β}}_{1})$ ) for Unconstrained Models Comparing ML to GEE

		50% missing X₁			25% missing X₁ and 25% missing X₂			25% missing Y
σ _X₁, _X₂ = 0
		σ_X₁,Y			σ_X₁,Y			σ_X₁,Y
		0	0.3334	0.6	0	0.3334	0.6	0	0.3334	0.6
	0	101%	91%	77%	100%	100%	100%	100%	100%	100%
σ_X₂,Y	0.3334	101%	91%	77%	100%	95%	96%	97%	97%	96%
	0.6	101%	88%	74%	100%	96%	88%	90%	90%	85%
σ _X₁, _X₂ = 0.3334
		σ_X₁,Y			σ_X₁,Y			σ_X₁,Y
		0	0.3334	0.6	0	0.3334	0.6	0	0.3334	0.6
	0	96%	88%	77%	100%	100%	100%	100%	100%	99%
σ_X₂,Y	0.3334	95%	89%	78%	100%	95%	95%	97%	98%	99%
	0.6	92%	90%	76%	100%	95%	88%	89%	92%	93%
σ _X₁, _X₂ = 0.6
		σ_X₁,Y			σ_X₁,Y			σ_X₁,Y
		0	0.3334	0.6	0	0.3334	0.6	0	0.3334	0.6
	0	83%	76%	68%	100%	100%	100%	100%	99%	92%
σ_X₂,Y	0.3334	83%	79%	73%	100%	98%	95%	96%	99%	100%
	0.6	73%	81%	76%	100%	95%	87%	86%	93%	97%