Genetic Analysis Workshop 13: Simulated longitudinal data on families for a system of oligogenic traits

BMC Genomic Data

Table 4 Logistic regression coefficients for the missing data model.

Model	α^A	M _i,j-1	M _i,j-2		M _sp,j	M _sp,j-1	M _sp,j-2				NA _mo	NA _fa	CHOL _ij	WT _ij	OC _i	MS _ij	Visit (j)
1	-3.88	2.390	1.58	1.06									-0.005	0.003	0.093	0.297	0.0256
2	-4.36	2.650	1.85	0.86	3.83	-1.42	-1.13						-0.005	0.003	0.121	0.770	0.0213
3	-3.87	2.380	1.58	1.06				-0.010					-0.005	0.003	0.092	0.297	0.0256
4	-4.35	2.650	1.85	0.86	3.82	-1.14	-1.13	0.054					-0.005	0.003	0.120	0.770	0.0214
5	-1.52	0.919		1.80					0.87	0.88	-0.18	-0.41	-0.005	0.003	0.224		-0.4510
6	-1.71	0.903		1.74	1.710	0.64	0.73	-0.17	-0.31	-0.005	0.003	-0.4490

^Aα, intercept; M_ij, indicator for subject i's visit j being missing (with i replaced by sp, mo, fa, sib for spouse, mother, father, and sib respectively); , average missingness proportion for subject i up to and including visit j (if the second subscript is omitted, the average is taken over the entire history); MS, marital status; NA, indicator for parents' being not available in the data set; OC, only child; CHOL, cholesterol; WT, weight.

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