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Journal of Chinese Integrative Medicine ›› 2009, Vol. 7 ›› Issue (9): 878-882.doi: 10.3736/jcim20090915

• Medical Statistice • Previous Articles     Next Articles

Statistical analysis using SAS software package for data of R×C contingency table (Part two)

Liang-ping Hu,Li-xin Tao   

  1. Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China
  • Received:2009-07-31 Accepted:2009-08-03 Online:2009-09-20 Published:2009-09-15
  • Contact: Liang-ping Hu E-mail:lphu812@sina.com

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Key words: Statistics, Medicine, Data analysis, Statistical, Qualitative data, SAS software

"

临床分期 n 例数 (%)
Grade: Grade 0 Grade Ⅰ Grade Ⅱ Grade Ⅲ
Ⅰ 35 12 (34.29) 6 (17.14) 7 (20.00) 10 (28.57)
Ⅱ 223 45 (20.18) 71 (31.84) 64 (28.70) 43 (19.28)
Ⅲ 74 14 (18.92) 14 (18.92) 17 (22.97) 29 (39.19)

"

倦怠程度 n 例数
抑郁程度： 无抑郁 轻度抑郁 中度抑郁
无倦怠 117 104 13 0
有倦怠危险信号 111 75 27 9
倦怠 35 8 20 7
倦怠严重 7 0 3 4

"

DATA PGM1;
DO A=1 TO 4;
DO B=1 TO 3;
INPUT F @@; OUTPUT;
END; END; CARDS;
104 13 0
75 27 9
8 20 7		 0 3 4
;
ODS HTML;
PROC CORR SPEARMAN;
VAR A B; FREQ F; RUN;
PROC CORRESP;
TABLES A,B; WEIGHT F; RUN;
ODS HTML CLOSE;

"

2 变量
Freq 变量		 A B
F

"

变量 n 均值 标准差 中位数 最小值 最大值
A 270 1.748 15 0.778 13 2.000 00 1.000 00 4.000 00
B 270 1.381 48 0.620 91 1.000 00 1.000 00 3.000 00

"

变量 A B
A
 1.000 00
 0.491 56
<0.000 1
B
 0.491 56
<0.000 1		 1.000 00

"

惯性和卡方分解
奇异值 主惯性 卡方 百分比 累积百分比 18 36 54 72 90---+---+---+---+---+---
0.545 07 0.297 10 80.217 6 91.45 91.45 *************************
0.166 69 0.027 79 7.502 1 8.55 100.00 **
合计 0.324 89 87.719 7 100.00
自由度=6

"

疼痛分级 n 例数
BME分级： 无BME BME 1级 BME 2级
无疼痛 47 25 18 4
疼痛1级 184 41 93 50
疼痛2级 33 3 16 14

"

%LET R=3;
%LET C=3;
DATA PGM20F;
DO Y=1 TO 3;
DO X=1 TO 3;
INPUT F @@;
OUTPUT;
END; END; CARDS;
25 18 4
41 93 50
3 16 14
;
PROC FREQ;
WEIGHT F;
TABLES Y*X / CHISQ;
OUTPUT OUT=AAA CHISQ; RUN;
PROC REG DATA=PGM20F OUTEST=BBB
OUTSEB;
MODEL Y=X; FREQ F; RUN;
DATA W1; SET BBB;
IF _TYPE_=‘PARMS’ THEN B=X;
ELSE DELETE; RUN;
DATA W2; SET BBB;
IF _TYPE_=‘SEB’ THEN SB=X;
ELSE DELETE; RUN;
DATA W3; SET AAA;
KF=_PCHI_; KEEP KF; RUN;
DATA W4; SET W1;		 MERGE W2; MERGE W3;
KEEP B SB KF; RUN;
ODS HTML;
DATA CCC; SET W4;
DFF=(&R-1)*(&C-1); DFR=1;
DFB=DFF-DFR; VB=SB*SB;
KR=ROUND(B*B/VB, 0.001);
FILE PRINT;
IF KR>KF THEN GOTO OK1;
ELSE GOTO OK2;
OK1: PUT #2 @10 ‘The DATA is not suitable for’;
PUT #4 @10 ‘the test of linear trend.’;
GOTO OK3;
OK2: KB=KF-KR;
KB=ROUND (KB, 0.001);
PR=1-PROBCHI (KR,DFR);
PR=ROUND (PR, 0.000 1);
IF PR<0.000 1 THEN PR=0.000 1;
PB=1-PROBCHI(KB,DFB);
PB=ROUND(PB, 0.000 1);
IF PB<0.000 1 THEN PB=0.000 1;
PUT #2 @10 ‘CHISQ-R’@20 ‘P-R’#2 @30 ‘CHISQ-B’@40 ‘P-B’;
PUT #4@10 KR @20 PR#4@30 KB @40 PB;
OK3: RUN;
ODS HTML CLOSE;

"

CHISQ-R P-R CHISQ-B P-B
27.182 0.000 1 0.993 0.802 9

"

临床分期 n 肾数（只）
彩色多普勒能量图分型： Ⅰ型 Ⅱ型 Ⅲ型 Ⅳ型
代偿期 102 21 78 3 0
失代偿期 84 0 27 49 8
衰竭期 78 0 2 29 47

"

临床诊断 n 例数
病理诊断： 轻度 中度 重度
轻度 30 27 2 1
中度 18 12 5 1
重度 6 2 1 3

"

DATA PGM3;
DO A=1 TO 3;
DO B=1 TO 3;
INPUT F @@;
OUTPUT;
END; END; CARDS;
27 2 1
12 5 1
2 1 3		 ;
ODS HTML;
PROC FREQ;
WEIGHT F;
TABLES A*B;
TEST KAPPA;
RUN;
ODS HTML CLOSE;

"

对称性检验
统计量（S）
自由度
Pr>S		 7.476 2
3
0.058 2

"

Kappa
渐近标准误差
95%置信下限
95%置信上限		 0.321 4
0.110 0
0.105 8
0.537 1

"

H0下的渐近标准误差
Z
单侧Pr>Z
双侧Pr>|Z|		 0.095 7
3.360 4
0.000 4
0.000 8

"

加权Kappa
渐近标准误差
95%置信下限
95%置信上限		 0.377 4
0.118 2
0.145 6
0.609 1
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