SAS Output

The SAS System

The GLM Procedure

Class Level Information
Class	Levels	Values
Aar	1	2017
Sykehus	1	Kalnes
Tid_inn_maned	12	1 2 3 4 5 6 7 8 9 10 11 12
Tid_inn_kvartal	4	1 2 3 4
Tid_inn_ukedag	7	1 2 3 4 5 6 7
Tid_inn_intervall	6	00_04 04_08 08_12 12_16 16_20 20_00
Tid_op_ukedag	7	1 2 3 4 5 6 7
Tid_op_intervall	5	04_08 08_12 12_16 16_20 20_00
Diagnosekode	3	S720 S721 S722
Belegg_akutt_intervall	6	7 11 20 26 27 36
Weekend_effekt	2	0 1

Number of Observations Read	426
Number of Observations Used	426

The SAS System

The GLM Procedure

Dependent Variable: Tot_tid_til_op

Source	DF	Sum of Squares	Mean Square	F Value	Pr > F
Model	25	21816.9611	872.6784	3.14	<.0001
Error	400	111243.5295	278.1088
Corrected Total	425	133060.4906

R-Square	Coeff Var	Root MSE	Tot_tid_til_op Mean
0.163963	55.27293	16.67660	30.17136

Source	DF	Type I SS	Mean Square	F Value	Pr > F
Tid_inn_maned	11	11507.34061	1046.12187	3.76	<.0001
Tid_inn_ukedag	6	2498.86457	416.47743	1.50	0.1776
Tid_op_ukedag	6	4960.47928	826.74655	2.97	0.0075
Diagnosekode	2	2850.27667	1425.13834	5.12	0.0063

Source	DF	Type III SS	Mean Square	F Value	Pr > F
Tid_inn_maned	11	10764.10502	978.55500	3.52	0.0001
Tid_inn_ukedag	6	4954.10198	825.68366	2.97	0.0076
Tid_op_ukedag	6	4487.59116	747.93186	2.69	0.0143
Diagnosekode	2	2850.27667	1425.13834	5.12	0.0063

Parameter	Estimate		Standard Error	t Value	Pr > \|t\|
Intercept	14.90643635	B	4.96487230	3.00	0.0028
Tid_inn_maned 1	-1.10572286	B	3.82052131	-0.29	0.7724
Tid_inn_maned 2	2.71460590	B	3.73787786	0.73	0.4681
Tid_inn_maned 3	0.81117232	B	3.90170711	0.21	0.8354
Tid_inn_maned 4	2.17096717	B	4.00260260	0.54	0.5879
Tid_inn_maned 5	-0.28125505	B	4.14120875	-0.07	0.9459
Tid_inn_maned 6	12.21856089	B	3.59995581	3.39	0.0008
Tid_inn_maned 7	2.79270931	B	3.91021492	0.71	0.4755
Tid_inn_maned 8	-9.05004411	B	4.56667898	-1.98	0.0482
Tid_inn_maned 9	0.77246188	B	3.72314158	0.21	0.8357
Tid_inn_maned 10	10.88433022	B	3.70161959	2.94	0.0035
Tid_inn_maned 11	4.33424386	B	3.69824635	1.17	0.2419
Tid_inn_maned 12	0.00000000	B	.	.	.
Tid_inn_ukedag 1	1.14340776	B	3.74648318	0.31	0.7604
Tid_inn_ukedag 2	5.67056191	B	4.19400158	1.35	0.1771
Tid_inn_ukedag 3	8.00066776	B	4.34580791	1.84	0.0664
Tid_inn_ukedag 4	16.16079963	B	4.16452439	3.88	0.0001
Tid_inn_ukedag 5	10.95495587	B	3.66834358	2.99	0.0030
Tid_inn_ukedag 6	9.03734184	B	3.45358877	2.62	0.0092
Tid_inn_ukedag 7	0.00000000	B	.	.	.
Tid_op_ukedag 1	5.10041554	B	3.32700436	1.53	0.1261
Tid_op_ukedag 2	4.14710568	B	4.16265316	1.00	0.3197
Tid_op_ukedag 3	0.52680815	B	4.33028234	0.12	0.9032
Tid_op_ukedag 4	-5.05727607	B	4.20545241	-1.20	0.2299
Tid_op_ukedag 5	-10.12319173	B	3.76602776	-2.69	0.0075
Tid_op_ukedag 6	-4.26346993	B	3.34761267	-1.27	0.2036
Tid_op_ukedag 7	0.00000000	B	.	.	.
Diagnosekode S720	8.19655223	B	3.07770350	2.66	0.0081
Diagnosekode S721	4.06938486	B	3.17444567	1.28	0.2006
Diagnosekode S722	0.00000000	B	.	.	.

Note:

The X'X matrix has been found to be singular, and a generalized inverse was used to solve the normal equations. Terms whose estimates are followed by the letter 'B' are not uniquely estimable.

The SAS System

The GLM Procedure

Least Squares Means

Tid_inn_maned	Tot_tid_til_op LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	23.7890915	2.9809211	<.0001	1
2	27.6094203	2.8520473	<.0001	2
3	25.7059867	3.0125027	<.0001	3
4	27.0657816	3.1363481	<.0001	4
5	24.6135593	3.3402854	<.0001	5
6	37.1133753	2.6621857	<.0001	6
7	27.6875237	3.0199411	<.0001	7
8	15.8447703	3.9045566	<.0001	8
9	25.6672763	2.8628467	<.0001	9
10	35.7791446	2.8263283	<.0001	10
11	29.2290582	2.7529867	<.0001	11
12	24.8948144	2.6391600	<.0001	12

Least Squares Means for effect Tid_inn_maned Pr > \|t\| for H0: LSMean(i)=LSMean(j) Dependent Variable: Tot_tid_til_op
i/j	1	2	3	4	5	6	7	8	9	10	11	12
1		0.3365	0.6417	0.4362	0.8499	0.0005	0.3449	0.0928	0.6355	0.0026	0.1647	0.7724
2	0.3365		0.6390	0.8959	0.4818	0.0114	0.9846	0.0119	0.6164	0.0339	0.6748	0.4681
3	0.6417	0.6390		0.7500	0.8034	0.0033	0.6330	0.0407	0.9924	0.0121	0.3740	0.8354
4	0.4362	0.8959	0.7500		0.5836	0.0121	0.8836	0.0221	0.7352	0.0335	0.5945	0.5879
5	0.8499	0.4818	0.8034	0.5836		0.0026	0.4807	0.0798	0.8045	0.0079	0.2742	0.9459
6	0.0005	0.0114	0.0033	0.0121	0.0026		0.0155	<.0001	0.0022	0.7182	0.0322	0.0008
7	0.3449	0.9846	0.6330	0.8836	0.4807	0.0155		0.0137	0.6162	0.0429	0.6980	0.4755
8	0.0928	0.0119	0.0407	0.0221	0.0798	<.0001	0.0137		0.0369	<.0001	0.0042	0.0482
9	0.6355	0.6164	0.9924	0.7352	0.8045	0.0022	0.6162	0.0369		0.0087	0.3498	0.8357
10	0.0026	0.0339	0.0121	0.0335	0.0079	0.7182	0.0429	<.0001	0.0087		0.0845	0.0035
11	0.1647	0.6748	0.3740	0.5945	0.2742	0.0322	0.6980	0.0042	0.3498	0.0845		0.2419
12	0.7724	0.4681	0.8354	0.5879	0.9459	0.0008	0.4755	0.0482	0.8357	0.0035	0.2419

Plot of Tot_tid_til_op least-squares means for Tid_inn_maned.

Plot of all pairwise Tot_tid_til_op least-squares means differences for Tid_inn_maned at significance level 0.05.

Note:

To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

Tid_inn_ukedag	Tot_tid_til_op LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	20.9456196	3.0552534	<.0001	1
2	25.4727738	3.0303706	<.0001	2
3	27.8028796	2.9296502	<.0001	3
4	35.9630115	2.7239630	<.0001	4
5	30.7571678	2.4856379	<.0001	5
6	28.8395537	2.7051768	<.0001	6
7	19.8022119	2.8352391	<.0001	7

Least Squares Means for effect Tid_inn_ukedag Pr > \|t\| for H0: LSMean(i)=LSMean(j) Dependent Variable: Tot_tid_til_op
i/j	1	2	3	4	5	6	7
1		0.2239	0.1041	0.0008	0.0209	0.0565	0.7604
2	0.2239		0.5225	0.0128	0.2119	0.4401	0.1771
3	0.1041	0.5225		0.0285	0.4529	0.8075	0.0664
4	0.0008	0.0128	0.0285		0.0926	0.0612	0.0001
5	0.0209	0.2119	0.4529	0.0926		0.5501	0.0030
6	0.0565	0.4401	0.8075	0.0612	0.5501		0.0092
7	0.7604	0.1771	0.0664	0.0001	0.0030	0.0092

Plot of Tot_tid_til_op least-squares means for Tid_inn_ukedag.

Plot of all pairwise Tot_tid_til_op least-squares means differences for Tid_inn_ukedag at significance level 0.05.

Note:

To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

Tid_op_ukedag	Tot_tid_til_op LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	33.5651050	2.6257095	<.0001	1
2	32.6117952	3.0605440	<.0001	2
3	28.9914976	2.8979441	<.0001	3
4	23.4074134	2.7913915	<.0001	4
5	18.3414977	2.8341238	<.0001	5
6	24.2012195	2.7413340	<.0001	6
7	28.4646895	2.8002436	<.0001	7

Least Squares Means for effect Tid_op_ukedag Pr > \|t\| for H0: LSMean(i)=LSMean(j) Dependent Variable: Tot_tid_til_op
i/j	1	2	3	4	5	6	7
1		0.7952	0.2549	0.0150	0.0002	0.0115	0.1261
2	0.7952		0.3315	0.0312	0.0015	0.0555	0.3197
3	0.2549	0.3315		0.1251	0.0121	0.2672	0.9032
4	0.0150	0.0312	0.1251		0.1739	0.8401	0.2299
5	0.0002	0.0015	0.0121	0.1739		0.0681	0.0075
6	0.0115	0.0555	0.2672	0.8401	0.0681		0.2036
7	0.1261	0.3197	0.9032	0.2299	0.0075	0.2036

Plot of Tot_tid_til_op least-squares means for Tid_op_ukedag.

Plot of all pairwise Tot_tid_til_op least-squares means differences for Tid_op_ukedag at significance level 0.05.

Note:

To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

Diagnosekode	Tot_tid_til_op LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
S720	31.1912234	1.1268964	<.0001	1
S721	27.0640560	1.3704393	<.0001	2
S722	22.9946712	2.8830046	<.0001	3

Least Squares Means for effect Diagnosekode Pr > \|t\| for H0: LSMean(i)=LSMean(j) Dependent Variable: Tot_tid_til_op
i/j	1	2	3
1		0.0196	0.0081
2	0.0196		0.2006
3	0.0081	0.2006

Plot of Tot_tid_til_op least-squares means for Diagnosekode.

Plot of all pairwise Tot_tid_til_op least-squares means differences for Diagnosekode at significance level 0.05.

Note:

To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

The SAS System

The GLM Procedure

Class Level Information
Class	Levels	Values
Aar	1	2017
Sykehus	1	Kalnes
Tid_inn_maned	12	1 2 3 4 5 6 7 8 9 10 11 12
Tid_inn_kvartal	4	1 2 3 4
Tid_inn_ukedag	7	1 2 3 4 5 6 7
Tid_inn_intervall	6	00_04 04_08 08_12 12_16 16_20 20_00
Tid_op_ukedag	7	1 2 3 4 5 6 7
Tid_op_intervall	5	04_08 08_12 12_16 16_20 20_00
Diagnosekode	3	S720 S721 S722
Belegg_akutt_intervall	6	7 11 20 26 27 36
Weekend_effekt	2	0 1

Number of Observations Read	426
Number of Observations Used	426

The SAS System

The GLM Procedure

Dependent Variable: Over_48t_til_op

Source	DF	Sum of Squares	Mean Square	F Value	Pr > F
Model	25	7.55645119	0.30225805	2.62	<.0001
Error	400	46.12664740	0.11531662
Corrected Total	425	53.68309859

R-Square	Coeff Var	Root MSE	Over_48t_til_op Mean
0.140760	229.6228	0.339583	0.147887

Source	DF	Type I SS	Mean Square	F Value	Pr > F
Tid_inn_maned	11	2.75480502	0.25043682	2.17	0.0152
Tid_inn_ukedag	6	1.34034571	0.22339095	1.94	0.0737
Tid_op_ukedag	6	2.51532659	0.41922110	3.64	0.0016
Diagnosekode	2	0.94597387	0.47298693	4.10	0.0172

Source	DF	Type III SS	Mean Square	F Value	Pr > F
Tid_inn_maned	11	2.80877916	0.25534356	2.21	0.0131
Tid_inn_ukedag	6	2.62027957	0.43671326	3.79	0.0011
Tid_op_ukedag	6	2.32935660	0.38822610	3.37	0.0030
Diagnosekode	2	0.94597387	0.47298693	4.10	0.0172

Parameter	Estimate		Standard Error	t Value	Pr > \|t\|
Intercept	-.1299533879	B	0.10109895	-1.29	0.1994
Tid_inn_maned 1	-.1060422809	B	0.07779670	-1.36	0.1736
Tid_inn_maned 2	-.0132425442	B	0.07611385	-0.17	0.8620
Tid_inn_maned 3	-.0219728842	B	0.07944988	-0.28	0.7823
Tid_inn_maned 4	-.0036380175	B	0.08150440	-0.04	0.9644
Tid_inn_maned 5	0.0261540645	B	0.08432681	0.31	0.7566
Tid_inn_maned 6	0.1502055389	B	0.07330536	2.05	0.0411
Tid_inn_maned 7	0.0397068255	B	0.07962312	0.50	0.6183
Tid_inn_maned 8	-.1022504323	B	0.09299060	-1.10	0.2722
Tid_inn_maned 9	0.0077519698	B	0.07581377	0.10	0.9186
Tid_inn_maned 10	0.1878645337	B	0.07537552	2.49	0.0131
Tid_inn_maned 11	0.0334202912	B	0.07530684	0.44	0.6574
Tid_inn_maned 12	0.0000000000	B	.	.	.
Tid_inn_ukedag 1	0.0520188918	B	0.07628908	0.68	0.4957
Tid_inn_ukedag 2	0.1539450277	B	0.08540183	1.80	0.0722
Tid_inn_ukedag 3	0.2644428771	B	0.08849304	2.99	0.0030
Tid_inn_ukedag 4	0.3427464556	B	0.08480159	4.04	<.0001
Tid_inn_ukedag 5	0.3237595803	B	0.07469793	4.33	<.0001
Tid_inn_ukedag 6	0.1871391097	B	0.07032491	2.66	0.0081
Tid_inn_ukedag 7	0.0000000000	B	.	.	.
Tid_op_ukedag 1	0.1495159537	B	0.06774729	2.21	0.0279
Tid_op_ukedag 2	0.0982304799	B	0.08476348	1.16	0.2472
Tid_op_ukedag 3	-.0096042145	B	0.08817689	-0.11	0.9133
Tid_op_ukedag 4	-.1494127632	B	0.08563500	-1.74	0.0818
Tid_op_ukedag 5	-.1752015325	B	0.07668706	-2.28	0.0229
Tid_op_ukedag 6	-.1114046511	B	0.06816694	-1.63	0.1030
Tid_op_ukedag 7	0.0000000000	B	.	.	.
Diagnosekode S720	0.1234948471	B	0.06267082	1.97	0.0495
Diagnosekode S721	0.0346386891	B	0.06464076	0.54	0.5924
Diagnosekode S722	0.0000000000	B	.	.	.

Note:

The X'X matrix has been found to be singular, and a generalized inverse was used to solve the normal equations. Terms whose estimates are followed by the letter 'B' are not uniquely estimable.

The SAS System

The GLM Procedure

Least Squares Means

Tid_inn_maned	Over_48t_til_op LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	-0.02240232	0.06070005	0.7123	1
2	0.07039742	0.05807581	0.2262	2
3	0.06166708	0.06134314	0.3154	3
4	0.08000195	0.06386499	0.2111	4
5	0.10979403	0.06801773	0.1073	5
6	0.23384550	0.05420969	<.0001	6
7	0.12334679	0.06149461	0.0455	7
8	-0.01861047	0.07950790	0.8150	8
9	0.09139193	0.05829572	0.1177	9
10	0.27150450	0.05755210	<.0001	10
11	0.11706026	0.05605866	0.0374	11
12	0.08363996	0.05374082	0.1204	12

Least Squares Means for effect Tid_inn_maned Pr > \|t\| for H0: LSMean(i)=LSMean(j) Dependent Variable: Over_48t_til_op
i/j	1	2	3	4	5	6	7	8	9	10	11	12
1		0.2517	0.3165	0.2323	0.1367	0.0010	0.0833	0.9685	0.1588	0.0003	0.0805	0.1736
2	0.2517		0.9158	0.9097	0.6496	0.0325	0.5200	0.3483	0.7902	0.0104	0.5528	0.8620
3	0.3165	0.9158		0.8329	0.5902	0.0289	0.4656	0.4123	0.7177	0.0103	0.4924	0.7823
4	0.2323	0.9097	0.8329		0.7436	0.0589	0.6163	0.3219	0.8924	0.0218	0.6543	0.9644
5	0.1367	0.6496	0.5902	0.7436		0.1410	0.8786	0.2073	0.8319	0.0585	0.9326	0.7566
6	0.0010	0.0325	0.0289	0.0589	0.1410		0.1626	0.0062	0.0600	0.6169	0.1187	0.0411
7	0.0833	0.5200	0.4656	0.6163	0.8786	0.1626		0.1459	0.6970	0.0685	0.9381	0.6183
8	0.9685	0.3483	0.4123	0.3219	0.2073	0.0062	0.1459		0.2501	0.0023	0.1521	0.2722
9	0.1588	0.7902	0.7177	0.8924	0.8319	0.0600	0.6970	0.2501		0.0215	0.7406	0.9186
10	0.0003	0.0104	0.0103	0.0218	0.0585	0.6169	0.0685	0.0023	0.0215		0.0459	0.0131
11	0.0805	0.5528	0.4924	0.6543	0.9326	0.1187	0.9381	0.1521	0.7406	0.0459		0.6574
12	0.1736	0.8620	0.7823	0.9644	0.7566	0.0411	0.6183	0.2722	0.9186	0.0131	0.6574

Plot of Over_48t_til_op least-squares means for Tid_inn_maned.

Plot of all pairwise Over_48t_til_op least-squares means differences for Tid_inn_maned at significance level 0.05.

Note:

To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

Tid_inn_ukedag	Over_48t_til_op LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	-0.03699500	0.06221367	0.5524	1
2	0.06493114	0.06170698	0.2933	2
3	0.17542899	0.05965603	0.0035	3
4	0.25373256	0.05546765	<.0001	4
5	0.23474569	0.05061467	<.0001	5
6	0.09812522	0.05508511	0.0756	6
7	-0.08901389	0.05773355	0.1239	7

Least Squares Means for effect Tid_inn_ukedag Pr > \|t\| for H0: LSMean(i)=LSMean(j) Dependent Variable: Over_48t_til_op
i/j	1	2	3	4	5	6	7
1		0.1788	0.0136	0.0014	0.0017	0.1087	0.4957
2	0.1788		0.1368	0.0276	0.0492	0.7085	0.0722
3	0.0136	0.1368		0.3008	0.4593	0.3725	0.0030
4	0.0014	0.0276	0.3008		0.7628	0.0446	<.0001
5	0.0017	0.0492	0.4593	0.7628		0.0370	<.0001
6	0.1087	0.7085	0.3725	0.0446	0.0370		0.0081
7	0.4957	0.0722	0.0030	<.0001	<.0001	0.0081

Plot of Over_48t_til_op least-squares means for Tid_inn_ukedag.

Plot of all pairwise Over_48t_til_op least-squares means differences for Tid_inn_ukedag at significance level 0.05.

Note:

To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

Tid_op_ukedag	Over_48t_til_op LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
1	0.27792044	0.05346693	<.0001	1
2	0.22663497	0.06232140	0.0003	2
3	0.11880028	0.05901040	0.0448	3
4	-0.02100827	0.05684069	0.7119	4
5	-0.04679704	0.05771084	0.4179	5
6	0.01699984	0.05582137	0.7609	6
7	0.12840449	0.05702094	0.0249	7

Least Squares Means for effect Tid_op_ukedag Pr > \|t\| for H0: LSMean(i)=LSMean(j) Dependent Variable: Over_48t_til_op
i/j	1	2	3	4	5	6	7
1		0.4930	0.0521	0.0005	<.0001	0.0006	0.0279
2	0.4930		0.1557	0.0045	0.0028	0.0192	0.2472
3	0.0521	0.1557		0.0595	0.0551	0.2469	0.9133
4	0.0005	0.0045	0.0595		0.7336	0.6352	0.0818
5	<.0001	0.0028	0.0551	0.7336		0.3286	0.0229
6	0.0006	0.0192	0.2469	0.6352	0.3286		0.1030
7	0.0279	0.2472	0.9133	0.0818	0.0229	0.1030

Plot of Over_48t_til_op least-squares means for Tid_op_ukedag.

Plot of all pairwise Over_48t_til_op least-squares means differences for Tid_op_ukedag at significance level 0.05.

Note:

To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.

Diagnosekode	Over_48t_til_op LSMEAN	Standard Error	Pr > \|t\|	LSMEAN Number
S720	0.17092005	0.02294682	<.0001	1
S721	0.08206390	0.02790605	0.0035	2
S722	0.04742521	0.05870619	0.4197	3

Least Squares Means for effect Diagnosekode Pr > \|t\| for H0: LSMean(i)=LSMean(j) Dependent Variable: Over_48t_til_op
i/j	1	2	3
1		0.0137	0.0495
2	0.0137		0.5924
3	0.0495	0.5924

Plot of Over_48t_til_op least-squares means for Diagnosekode.

Plot of all pairwise Over_48t_til_op least-squares means differences for Diagnosekode at significance level 0.05.

Note:

To ensure overall protection level, only probabilities associated with pre-planned comparisons should be used.