Table A1.

Model Fit Statistics

Model	–2ll	Δχ2	Δdf	P	ΔAIC
Dry eye diagnosis and current use of artificial tears
1. ACE	2318.66	–	–	–	–
2. AE*	2318.66	0	1	1.00	−2.00
3. CE	2323.32	4.65	1	0.03	2.65
4. E	2344.28	25.62	2	0.00	21.62
Dry eye symptoms preceding 3 mos
1. ACE	3914.08	–	–	–	–
2. AE*	3914.08	0	1	1.00	−2.00
3. CE	3916.75	2.67	1	0.10	0.67
4. E	3937.51	23.43	2	0.00	19.43
Interblink interval
1. ACE	1488.78	–	–	–	–
2. AE*	1488.78	0	1	1.00	−2.00
3. CE	1491.01	2.23	1	0.14	0.23
4. E	1496.04	7.26	2	0.03	3.26
Tear osmolarity
1. ACE	−387.54	–	–	–	–
2. AE*	−387.49	0.05	1	0.81	−1.95
3. CE	−385.21	2.33	1	0.13	0.33
4. E	−362.85	24.69	2	0.00	20.69
Schirmer value
1. ACE	1386.86	–	–	–	–
2. AE*	1387.41	0.55	1	0.46	−1.45
3. CE	1390.28	3.42	1	0.06	1.42
4. E	1432.09	45.23	2	0.00	41.23
TBUT
1. ACE	−2960.28	–	–	–	–
2. AE	−2958.65	1.63	1	0.20	−0.37
3. CE*	−2960.02	0.26	1	0.61	−1.74
4. E	−2935.78	24.50	2	0.00	20.50
Blepharitis
1. ACE	556.45	–	–	–	–
2. AE*	557.51	1.06	1	0.30	−0.94
3. CE	558.94	2.49	1	0.11	0.49
4. E	597.54	41.09	2	0.00	37.09

For each model the minus two log-likelihood (−2ll), the change in χ² comparing submodel to full ACE-model (Δχ²), difference in df compared to full ACE-model (Δdf), corresponding probability (P), and difference in Akaike's information criterion compared to the full ACE-model (ΔAIC) are given.

^* The best fitting model per variable.