Knowledge (XXG)

Cochran–Mantel–Haenszel statistics

Source 📝

3651: 3637: 3675: 3663: 85:
We consider a binary outcome variable such as case status (e.g. lung cancer) and a binary predictor such as treatment status (e.g. smoking). The observations are grouped in strata. The stratified data are summarized in a series of 2 × 2 contingency tables, one for each stratum. The
1250: 710: 366: 1093:
for homogeneous association. The CMH test supposes that the effect of the treatment is homogeneous in all strata. The Breslow-Day test allows to test this assumption. This is not a concern if the strata are small e.g.
53:. It allows an investigator to test the association between a binary predictor or treatment and a binary outcome such as case or control status while taking into account the stratification. Unlike the 455: 811: 223: 943: 447: 3721: 1079:
is more general than the CMH test as it can handle continuous variable and perform multivariate analysis. When the CMH test can be applied, the CMH test statistic and the
1046: 1010: 3701: 856:
One generally expects the risk of an event unconditional on the stratification to be bounded between the highest and lowest risk within the strata (or identically with
740: 408: 905: 2772: 3277: 974: 878: 851: 831: 3427: 69:. Extensions of this test to a categorical response and/or to several groups are commonly called Cochran–Mantel–Haenszel statistics. It is often used in 1692: 2825: 1314:
Day N.E., Byar D.P. (September 1979). "Testing hypotheses in case-control studies-equivalence of Mantel–Haenszel statistics and logit score tests".
3264: 1687: 1387: 833:
is the number of strata. If the stratification were removed, there would be one aggregate risk ratio of the collapsed table; let this be
2291: 1439: 3679: 1056:
and not dependent on the order of the strata. Then the CMH statistic is the unique well-behaved statistic satisfying subset stability.
1175:
Nathan Mantel and William Haenszel (April 1959). "Statistical aspects of the analysis of data from retrospective studies of disease".
3074: 2966: 1298: 1124: 1360: 371:
The null hypothesis is that there is no association between the treatment and the outcome. More precisely, the null hypothesis is
3252: 3126: 43: 3310: 2971: 2716: 2087: 1677: 1084: 1076: 2301: 3361: 2573: 2380: 2269: 2227: 1466: 1210:
Nathan Mantel (September 1963). "Chi-Square Tests with One Degree of Freedom, Extensions of the Mantel–Haenszel Procedure".
3604: 2563: 705:{\displaystyle \xi _{\text{CMH}}={\frac {\left^{2}}{\sum _{i=1}^{K}{N_{1i}N_{2i}M_{1i}M_{2i} \over T_{i}^{2}(T_{i}-1)}}}.} 2613: 3716: 3155: 3104: 3089: 3079: 2948: 2820: 2787: 2568: 2398: 3224: 2525: 3711: 3499: 3300: 2279: 1948: 1412: 3384: 3351: 3356: 3099: 2858: 2764: 2744: 2652: 2363: 2181: 1664: 1536: 2530: 2296: 2154: 3116: 2884: 2605: 2459: 2388: 2308: 2166: 2147: 1855: 1576: 361:{\displaystyle R={{\sum _{i=1}^{K}{\frac {A_{i}D_{i}}{T_{i}}}} \over {\sum _{i=1}^{K}{B_{i}C_{i} \over T_{i}}}},} 3229: 3599: 3366: 2914: 2879: 2843: 2628: 2070: 1979: 1938: 1850: 1541: 1380: 2636: 2620: 757: 949:, and as with Simpson's paradox, it is difficult to interpret the statistic and decide policy based upon it. 3508: 3121: 3061: 2998: 2358: 2220: 2210: 2060: 1974: 3269: 3206: 3546: 3476: 2961: 2848: 1845: 1742: 1649: 1528: 1427: 3667: 2545: 3706: 3571: 3513: 3456: 3282: 3175: 3084: 2810: 2694: 2553: 2435: 2427: 2242: 2138: 2116: 2075: 2040: 2007: 1953: 1928: 1883: 1822: 1782: 1584: 1407: 70: 47: 3650: 2540: 1090: 3494: 3069: 3018: 2994: 2956: 2874: 2853: 2805: 2684: 2662: 2631: 2417: 2368: 2286: 2259: 2215: 2171: 1933: 1709: 1589: 946: 910: 3641: 3566: 3489: 3170: 2934: 2927: 2889: 2797: 2777: 2749: 2482: 2348: 2343: 2333: 2325: 2143: 2104: 1994: 1984: 1893: 1672: 1628: 1546: 1471: 1373: 413: 3216: 3655: 3466: 3320: 3165: 3041: 2938: 2922: 2899: 2676: 2410: 2393: 2353: 2264: 2159: 2121: 2092: 2052: 2012: 1958: 1875: 1561: 1556: 1331: 1271: 1227: 1157: 1015: 979: 58: 718: 374: 3561: 3531: 3523: 3343: 3334: 3259: 3190: 3046: 3031: 3006: 2894: 2835: 2701: 2689: 2315: 2232: 2176: 2099: 1943: 1865: 1644: 1518: 1339: 1294: 1192: 1120: 57:, which can only handle pairs, the CMH test handles arbitrary strata sizes. It is named after 3586: 3541: 3305: 3292: 3185: 3160: 3094: 3026: 2904: 2512: 2405: 2338: 2251: 2198: 2017: 1888: 1682: 1481: 1448: 1323: 1263: 1219: 1184: 1149: 66: 50: 17: 883: 3503: 3247: 3109: 3036: 2711: 2585: 2558: 2535: 2504: 2131: 2126: 2080: 1810: 1461: 1251:"An Analysis of U.S. Domestic Migration via Subset-stable Measures of Administrative Data" 1140:
William G. Cochran (December 1954). "Some Methods for Strengthening the Common χ2 Tests".
1053: 73:
in which random assignment of subjects to different treatments cannot be controlled but
3452: 3447: 1910: 1840: 1486: 959: 863: 836: 816: 3695: 3609: 3576: 3439: 3400: 3211: 3180: 2644: 2598: 2203: 1905: 1732: 1496: 1491: 1275: 62: 1762: 3551: 3484: 3461: 3376: 2706: 2002: 1900: 1835: 1777: 1699: 1654: 1223: 1070: 1066: 54: 3594: 3556: 3239: 3140: 3002: 2815: 2782: 2274: 2191: 2186: 1830: 1787: 1767: 1747: 1737: 1506: 1245: 74: 1267: 2440: 1920: 1620: 1551: 1501: 1476: 1396: 1080: 857: 751: 210: 31: 2593: 2445: 2065: 1860: 1772: 1757: 1752: 1717: 1188: 1196: 2109: 1727: 1604: 1599: 1594: 1566: 1343: 3614: 3315: 1335: 1231: 1161: 1073:
as their test statistics are identical when each stratum shows a pair.
3536: 2517: 2491: 2471: 1722: 1513: 1119:. Hoboken, New Jersey: John Wiley & Sons, Inc. pp. 231–232. 1327: 1153: 860:). It is easy to construct examples where this is not the case, and 27:
Test used in the analysis of stratified or matched categorical data
742:
distribution asymptotically with 1 df under the null hypothesis.
1456: 1293:. Hoboken, New Jersey: John Wiley & Sons, Inc. p. 413. 3425: 2992: 2739: 2038: 1808: 1425: 1369: 1069:
can only handle pairs. The CMH test is a generalization of the
1365: 754:
of all strata could be calculated, giving risk ratios
1018: 982: 962: 913: 886: 866: 839: 819: 760: 721: 458: 416: 377: 226: 3278:
Autoregressive conditional heteroskedasticity (ARCH)
3585: 3522: 3475: 3438: 3393: 3375: 3342: 3333: 3291: 3238: 3199: 3148: 3139: 3060: 3017: 2947: 2913: 2867: 2834: 2796: 2763: 2675: 2584: 2503: 2458: 2426: 2379: 2324: 2250: 2241: 2051: 1993: 1967: 1919: 1874: 1821: 1708: 1663: 1637: 1619: 1575: 1527: 1447: 1438: 1249: 1040: 1004: 968: 937: 899: 872: 845: 825: 805: 734: 704: 441: 402: 360: 1361:Introduction to the Cochran-Mantel-Haenszel Test 1019: 983: 2826:Multivariate adaptive regression splines (MARS) 1212:Journal of the American Statistical Association 1381: 8: 3435: 3422: 3339: 3145: 3014: 2989: 2760: 2736: 2464: 2247: 2048: 2035: 1818: 1805: 1444: 1435: 1422: 1388: 1374: 1366: 945:. This is comparable but not identical to 3722:Summary statistics for contingency tables 1110: 1108: 1029: 1017: 993: 981: 961: 912: 891: 885: 865: 838: 818: 797: 778: 765: 759: 726: 720: 678: 665: 660: 645: 632: 619: 606: 599: 593: 582: 571: 553: 539: 526: 519: 510: 495: 484: 472: 463: 457: 421: 415: 382: 376: 344: 333: 323: 316: 310: 299: 294: 285: 274: 264: 257: 251: 240: 235: 233: 225: 3702:Statistical tests for contingency tables 1177:Journal of the National Cancer Institute 806:{\displaystyle r_{1},r_{2},\dots ,r_{n}} 92: 1256:Journal of Computational Social Science 1104: 3352:Kaplan–Meier estimator (product limit) 7: 3662: 3362:Accelerated failure time (AFT) model 42:) is a test used in the analysis of 3674: 2957:Analysis of variance (ANOVA, anova) 3052:Cochran–Mantel–Haenszel statistics 1678:Pearson product-moment correlation 952:Klemens defines a statistic to be 410:and the alternative hypothesis is 217:contingency tables is defined as: 25: 880:is larger or smaller than all of 3673: 3661: 3649: 3636: 3635: 3311:Least-squares spectral analysis 1085:conditional logistic regression 1077:Conditional logistic regression 938:{\displaystyle i\in 1,\dots ,n} 90:-th such contingency table is: 2292:Mean-unbiased minimum-variance 1224:10.1080/01621459.1963.10500879 1035: 1022: 999: 986: 690: 671: 1: 3605:Geographic information system 2821:Simultaneous equations models 442:{\displaystyle H_{1}:R\neq 1} 2788:Coefficient of determination 2399:Uniformly most powerful test 77:covariates can be measured. 36:Cochran–Mantel–Haenszel test 18:Cochran-Mantel-Haenszel test 3357:Proportional hazards models 3301:Spectral density estimation 3283:Vector autoregression (VAR) 2717:Maximum posterior estimator 1949:Randomized controlled trial 1041:{\displaystyle \max(r_{i})} 1005:{\displaystyle \min(r_{i})} 3738: 3117:Multivariate distributions 1537:Average absolute deviation 1268:10.1007/s42001-021-00124-w 3631: 3434: 3421: 3105:Structural equation model 3013: 2988: 2759: 2735: 2467: 2441:Score/Lagrange multiplier 2047: 2034: 1856:Sample size determination 1817: 1804: 1434: 1421: 1403: 1291:Categorical Data Analysis 1117:Categorical Data Analysis 1054:infinitely differentiable 735:{\displaystyle \chi ^{2}} 449:. The test statistic is: 403:{\displaystyle H_{0}:R=1} 3600:Environmental statistics 3122:Elliptical distributions 2915:Generalized linear model 2844:Simple linear regression 2614:Hodges–Lehmann estimator 2071:Probability distribution 1980:Stochastic approximation 1542:Coefficient of variation 3260:Cross-correlation (XCF) 2868:Non-standard predictors 2302:Lehmann–Scheffé theorem 1975:Adaptive clinical trial 3656:Mathematics portal 3477:Engineering statistics 3385:Nelson–Aalen estimator 2962:Analysis of covariance 2849:Ordinary least squares 2773:Pearson product-moment 2177:Statistical functional 2088:Empirical distribution 1921:Controlled experiments 1650:Frequency distribution 1428:Descriptive statistics 1289:Agresti, Alan (2002). 1115:Agresti, Alan (2002). 1042: 1006: 970: 939: 901: 874: 847: 827: 807: 750:The standard odds- or 736: 706: 598: 500: 443: 404: 362: 315: 256: 3572:Population statistics 3514:System identification 3248:Autocorrelation (ACF) 3176:Exponential smoothing 3090:Discriminant analysis 3085:Canonical correlation 2949:Partition of variance 2811:Regression validation 2655:(Jonckheere–Terpstra) 2554:Likelihood-ratio test 2243:Frequentist inference 2155:Location–scale family 2076:Sampling distribution 2041:Statistical inference 2008:Cross-sectional study 1995:Observational studies 1954:Randomized experiment 1783:Stem-and-leaf display 1585:Central limit theorem 1189:10.1093/jnci/22.4.719 1043: 1007: 971: 940: 902: 900:{\displaystyle r_{i}} 875: 848: 828: 808: 737: 707: 578: 480: 444: 405: 363: 295: 236: 71:observational studies 3495:Probabilistic design 3080:Principal components 2923:Exponential families 2875:Nonlinear regression 2854:General linear model 2816:Mixed effects models 2806:Errors and residuals 2783:Confounding variable 2685:Bayesian probability 2663:Van der Waerden test 2653:Ordered alternative 2418:Multiple comparisons 2297:Rao–Blackwellization 2260:Estimating equations 2216:Statistical distance 1934:Factorial experiment 1467:Arithmetic-Geometric 1016: 980: 960: 911: 884: 864: 837: 817: 758: 719: 456: 414: 375: 224: 3717:Bayesian statistics 3567:Official statistics 3490:Methods engineering 3171:Seasonal adjustment 2939:Poisson regressions 2859:Bayesian regression 2798:Regression analysis 2778:Partial correlation 2750:Regression analysis 2349:Prediction interval 2344:Likelihood interval 2334:Confidence interval 2326:Interval estimation 2287:Unbiased estimators 2105:Model specification 1985:Up-and-down designs 1673:Partial correlation 1629:Index of dispersion 1547:Interquartile range 1052:statistic as being 976:is bounded between 670: 3712:Medical statistics 3587:Spatial statistics 3467:Medical statistics 3367:First hitting time 3321:Whittle likelihood 2972:Degrees of freedom 2967:Multivariate ANOVA 2900:Heteroscedasticity 2712:Bayesian estimator 2677:Bayesian inference 2526:Kolmogorov–Smirnov 2411:Randomization test 2381:Testing hypotheses 2354:Tolerance interval 2265:Maximum likelihood 2160:Exponential family 2093:Density estimation 2053:Statistical theory 2013:Natural experiment 1959:Scientific control 1876:Survey methodology 1562:Standard deviation 1038: 1002: 966: 935: 897: 870: 843: 823: 803: 732: 702: 656: 439: 400: 358: 59:William G. Cochran 3689: 3688: 3627: 3626: 3623: 3622: 3562:National accounts 3532:Actuarial science 3524:Social statistics 3417: 3416: 3413: 3412: 3409: 3408: 3344:Survival function 3329: 3328: 3191:Granger causality 3032:Contingency table 3007:Survival analysis 2984: 2983: 2980: 2979: 2836:Linear regression 2731: 2730: 2727: 2726: 2702:Credible interval 2671: 2670: 2454: 2453: 2270:Method of moments 2139:Parametric family 2100:Statistical model 2030: 2029: 2026: 2025: 1944:Random assignment 1866:Statistical power 1800: 1799: 1796: 1795: 1645:Contingency table 1615: 1614: 1482:Generalized/power 1083:statistic of the 969:{\displaystyle R} 947:Simpson's paradox 873:{\displaystyle R} 846:{\displaystyle R} 826:{\displaystyle n} 697: 694: 559: 466: 353: 350: 291: 207: 206: 16:(Redirected from 3729: 3677: 3676: 3665: 3664: 3654: 3653: 3639: 3638: 3542:Crime statistics 3436: 3423: 3340: 3306:Fourier analysis 3293:Frequency domain 3273: 3220: 3186:Structural break 3146: 3095:Cluster analysis 3042:Log-linear model 3015: 2990: 2931: 2905:Homoscedasticity 2761: 2737: 2656: 2648: 2640: 2639:(Kruskal–Wallis) 2624: 2609: 2564:Cross validation 2549: 2531:Anderson–Darling 2478: 2465: 2436:Likelihood-ratio 2428:Parametric tests 2406:Permutation test 2389:1- & 2-tails 2280:Minimum distance 2252:Point estimation 2248: 2199:Optimal decision 2150: 2049: 2036: 2018:Quasi-experiment 1968:Adaptive designs 1819: 1806: 1683:Rank correlation 1445: 1436: 1423: 1390: 1383: 1376: 1367: 1348: 1347: 1311: 1305: 1304: 1286: 1280: 1279: 1253: 1242: 1236: 1235: 1218:(303): 690–700. 1207: 1201: 1200: 1172: 1166: 1165: 1137: 1131: 1130: 1112: 1091:Breslow–Day test 1047: 1045: 1044: 1039: 1034: 1033: 1011: 1009: 1008: 1003: 998: 997: 975: 973: 972: 967: 944: 942: 941: 936: 906: 904: 903: 898: 896: 895: 879: 877: 876: 871: 852: 850: 849: 844: 832: 830: 829: 824: 812: 810: 809: 804: 802: 801: 783: 782: 770: 769: 746:Subset stability 741: 739: 738: 733: 731: 730: 711: 709: 708: 703: 698: 696: 695: 693: 683: 682: 669: 664: 654: 653: 652: 640: 639: 627: 626: 614: 613: 600: 597: 592: 576: 575: 570: 566: 565: 561: 560: 558: 557: 548: 547: 546: 534: 533: 520: 515: 514: 499: 494: 473: 468: 467: 464: 448: 446: 445: 440: 426: 425: 409: 407: 406: 401: 387: 386: 367: 365: 364: 359: 354: 352: 351: 349: 348: 339: 338: 337: 328: 327: 317: 314: 309: 293: 292: 290: 289: 280: 279: 278: 269: 268: 258: 255: 250: 234: 93: 67:William Haenszel 51:categorical data 21: 3737: 3736: 3732: 3731: 3730: 3728: 3727: 3726: 3692: 3691: 3690: 3685: 3648: 3619: 3581: 3518: 3504:quality control 3471: 3453:Clinical trials 3430: 3405: 3389: 3377:Hazard function 3371: 3325: 3287: 3271: 3234: 3230:Breusch–Godfrey 3218: 3195: 3135: 3110:Factor analysis 3056: 3037:Graphical model 3009: 2976: 2943: 2929: 2909: 2863: 2830: 2792: 2755: 2754: 2723: 2667: 2654: 2646: 2638: 2622: 2607: 2586:Rank statistics 2580: 2559:Model selection 2547: 2505:Goodness of fit 2499: 2476: 2450: 2422: 2375: 2320: 2309:Median unbiased 2237: 2148: 2081:Order statistic 2043: 2022: 1989: 1963: 1915: 1870: 1813: 1811:Data collection 1792: 1704: 1659: 1633: 1611: 1571: 1523: 1440:Continuous data 1430: 1417: 1399: 1394: 1357: 1352: 1351: 1328:10.2307/2530253 1313: 1312: 1308: 1301: 1288: 1287: 1283: 1244: 1243: 1239: 1209: 1208: 1204: 1174: 1173: 1169: 1154:10.2307/3001616 1139: 1138: 1134: 1127: 1114: 1113: 1106: 1101: 1062: 1025: 1014: 1013: 989: 978: 977: 958: 957: 909: 908: 887: 882: 881: 862: 861: 835: 834: 815: 814: 793: 774: 761: 756: 755: 748: 722: 717: 716: 674: 655: 641: 628: 615: 602: 601: 577: 549: 535: 522: 521: 506: 505: 501: 479: 475: 474: 459: 454: 453: 417: 412: 411: 378: 373: 372: 340: 329: 319: 318: 281: 270: 260: 259: 222: 221: 202: 195: 184: 168: 156: 148: 136: 124: 116: 83: 28: 23: 22: 15: 12: 11: 5: 3735: 3733: 3725: 3724: 3719: 3714: 3709: 3704: 3694: 3693: 3687: 3686: 3684: 3683: 3671: 3659: 3645: 3632: 3629: 3628: 3625: 3624: 3621: 3620: 3618: 3617: 3612: 3607: 3602: 3597: 3591: 3589: 3583: 3582: 3580: 3579: 3574: 3569: 3564: 3559: 3554: 3549: 3544: 3539: 3534: 3528: 3526: 3520: 3519: 3517: 3516: 3511: 3506: 3497: 3492: 3487: 3481: 3479: 3473: 3472: 3470: 3469: 3464: 3459: 3450: 3448:Bioinformatics 3444: 3442: 3432: 3431: 3426: 3419: 3418: 3415: 3414: 3411: 3410: 3407: 3406: 3404: 3403: 3397: 3395: 3391: 3390: 3388: 3387: 3381: 3379: 3373: 3372: 3370: 3369: 3364: 3359: 3354: 3348: 3346: 3337: 3331: 3330: 3327: 3326: 3324: 3323: 3318: 3313: 3308: 3303: 3297: 3295: 3289: 3288: 3286: 3285: 3280: 3275: 3267: 3262: 3257: 3256: 3255: 3253:partial (PACF) 3244: 3242: 3236: 3235: 3233: 3232: 3227: 3222: 3214: 3209: 3203: 3201: 3200:Specific tests 3197: 3196: 3194: 3193: 3188: 3183: 3178: 3173: 3168: 3163: 3158: 3152: 3150: 3143: 3137: 3136: 3134: 3133: 3132: 3131: 3130: 3129: 3114: 3113: 3112: 3102: 3100:Classification 3097: 3092: 3087: 3082: 3077: 3072: 3066: 3064: 3058: 3057: 3055: 3054: 3049: 3047:McNemar's test 3044: 3039: 3034: 3029: 3023: 3021: 3011: 3010: 2993: 2986: 2985: 2982: 2981: 2978: 2977: 2975: 2974: 2969: 2964: 2959: 2953: 2951: 2945: 2944: 2942: 2941: 2925: 2919: 2917: 2911: 2910: 2908: 2907: 2902: 2897: 2892: 2887: 2885:Semiparametric 2882: 2877: 2871: 2869: 2865: 2864: 2862: 2861: 2856: 2851: 2846: 2840: 2838: 2832: 2831: 2829: 2828: 2823: 2818: 2813: 2808: 2802: 2800: 2794: 2793: 2791: 2790: 2785: 2780: 2775: 2769: 2767: 2757: 2756: 2753: 2752: 2747: 2741: 2740: 2733: 2732: 2729: 2728: 2725: 2724: 2722: 2721: 2720: 2719: 2709: 2704: 2699: 2698: 2697: 2692: 2681: 2679: 2673: 2672: 2669: 2668: 2666: 2665: 2660: 2659: 2658: 2650: 2642: 2626: 2623:(Mann–Whitney) 2618: 2617: 2616: 2603: 2602: 2601: 2590: 2588: 2582: 2581: 2579: 2578: 2577: 2576: 2571: 2566: 2556: 2551: 2548:(Shapiro–Wilk) 2543: 2538: 2533: 2528: 2523: 2515: 2509: 2507: 2501: 2500: 2498: 2497: 2489: 2480: 2468: 2462: 2460:Specific tests 2456: 2455: 2452: 2451: 2449: 2448: 2443: 2438: 2432: 2430: 2424: 2423: 2421: 2420: 2415: 2414: 2413: 2403: 2402: 2401: 2391: 2385: 2383: 2377: 2376: 2374: 2373: 2372: 2371: 2366: 2356: 2351: 2346: 2341: 2336: 2330: 2328: 2322: 2321: 2319: 2318: 2313: 2312: 2311: 2306: 2305: 2304: 2299: 2284: 2283: 2282: 2277: 2272: 2267: 2256: 2254: 2245: 2239: 2238: 2236: 2235: 2230: 2225: 2224: 2223: 2213: 2208: 2207: 2206: 2196: 2195: 2194: 2189: 2184: 2174: 2169: 2164: 2163: 2162: 2157: 2152: 2136: 2135: 2134: 2129: 2124: 2114: 2113: 2112: 2107: 2097: 2096: 2095: 2085: 2084: 2083: 2073: 2068: 2063: 2057: 2055: 2045: 2044: 2039: 2032: 2031: 2028: 2027: 2024: 2023: 2021: 2020: 2015: 2010: 2005: 1999: 1997: 1991: 1990: 1988: 1987: 1982: 1977: 1971: 1969: 1965: 1964: 1962: 1961: 1956: 1951: 1946: 1941: 1936: 1931: 1925: 1923: 1917: 1916: 1914: 1913: 1911:Standard error 1908: 1903: 1898: 1897: 1896: 1891: 1880: 1878: 1872: 1871: 1869: 1868: 1863: 1858: 1853: 1848: 1843: 1841:Optimal design 1838: 1833: 1827: 1825: 1815: 1814: 1809: 1802: 1801: 1798: 1797: 1794: 1793: 1791: 1790: 1785: 1780: 1775: 1770: 1765: 1760: 1755: 1750: 1745: 1740: 1735: 1730: 1725: 1720: 1714: 1712: 1706: 1705: 1703: 1702: 1697: 1696: 1695: 1690: 1680: 1675: 1669: 1667: 1661: 1660: 1658: 1657: 1652: 1647: 1641: 1639: 1638:Summary tables 1635: 1634: 1632: 1631: 1625: 1623: 1617: 1616: 1613: 1612: 1610: 1609: 1608: 1607: 1602: 1597: 1587: 1581: 1579: 1573: 1572: 1570: 1569: 1564: 1559: 1554: 1549: 1544: 1539: 1533: 1531: 1525: 1524: 1522: 1521: 1516: 1511: 1510: 1509: 1504: 1499: 1494: 1489: 1484: 1479: 1474: 1472:Contraharmonic 1469: 1464: 1453: 1451: 1442: 1432: 1431: 1426: 1419: 1418: 1416: 1415: 1410: 1404: 1401: 1400: 1395: 1393: 1392: 1385: 1378: 1370: 1364: 1363: 1356: 1355:External links 1353: 1350: 1349: 1322:(3): 623–630. 1306: 1299: 1281: 1237: 1202: 1183:(4): 719–748. 1167: 1148:(4): 417–451. 1132: 1125: 1103: 1102: 1100: 1097: 1096: 1095: 1088: 1087:are identical. 1074: 1061: 1058: 1037: 1032: 1028: 1024: 1021: 1001: 996: 992: 988: 985: 965: 934: 931: 928: 925: 922: 919: 916: 894: 890: 869: 842: 822: 800: 796: 792: 789: 786: 781: 777: 773: 768: 764: 747: 744: 729: 725: 713: 712: 701: 692: 689: 686: 681: 677: 673: 668: 663: 659: 651: 648: 644: 638: 635: 631: 625: 622: 618: 612: 609: 605: 596: 591: 588: 585: 581: 574: 569: 564: 556: 552: 545: 542: 538: 532: 529: 525: 518: 513: 509: 504: 498: 493: 490: 487: 483: 478: 471: 462: 438: 435: 432: 429: 424: 420: 399: 396: 393: 390: 385: 381: 369: 368: 357: 347: 343: 336: 332: 326: 322: 313: 308: 305: 302: 298: 288: 284: 277: 273: 267: 263: 254: 249: 246: 243: 239: 232: 229: 205: 204: 200: 196: 190: 185: 179: 174: 170: 169: 163: 158: 154: 150: 146: 142: 138: 137: 131: 126: 122: 118: 114: 110: 106: 105: 102: 99: 96: 82: 79: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 3734: 3723: 3720: 3718: 3715: 3713: 3710: 3708: 3705: 3703: 3700: 3699: 3697: 3682: 3681: 3672: 3670: 3669: 3660: 3658: 3657: 3652: 3646: 3644: 3643: 3634: 3633: 3630: 3616: 3613: 3611: 3610:Geostatistics 3608: 3606: 3603: 3601: 3598: 3596: 3593: 3592: 3590: 3588: 3584: 3578: 3577:Psychometrics 3575: 3573: 3570: 3568: 3565: 3563: 3560: 3558: 3555: 3553: 3550: 3548: 3545: 3543: 3540: 3538: 3535: 3533: 3530: 3529: 3527: 3525: 3521: 3515: 3512: 3510: 3507: 3505: 3501: 3498: 3496: 3493: 3491: 3488: 3486: 3483: 3482: 3480: 3478: 3474: 3468: 3465: 3463: 3460: 3458: 3454: 3451: 3449: 3446: 3445: 3443: 3441: 3440:Biostatistics 3437: 3433: 3429: 3424: 3420: 3402: 3401:Log-rank test 3399: 3398: 3396: 3392: 3386: 3383: 3382: 3380: 3378: 3374: 3368: 3365: 3363: 3360: 3358: 3355: 3353: 3350: 3349: 3347: 3345: 3341: 3338: 3336: 3332: 3322: 3319: 3317: 3314: 3312: 3309: 3307: 3304: 3302: 3299: 3298: 3296: 3294: 3290: 3284: 3281: 3279: 3276: 3274: 3272:(Box–Jenkins) 3268: 3266: 3263: 3261: 3258: 3254: 3251: 3250: 3249: 3246: 3245: 3243: 3241: 3237: 3231: 3228: 3226: 3225:Durbin–Watson 3223: 3221: 3215: 3213: 3210: 3208: 3207:Dickey–Fuller 3205: 3204: 3202: 3198: 3192: 3189: 3187: 3184: 3182: 3181:Cointegration 3179: 3177: 3174: 3172: 3169: 3167: 3164: 3162: 3159: 3157: 3156:Decomposition 3154: 3153: 3151: 3147: 3144: 3142: 3138: 3128: 3125: 3124: 3123: 3120: 3119: 3118: 3115: 3111: 3108: 3107: 3106: 3103: 3101: 3098: 3096: 3093: 3091: 3088: 3086: 3083: 3081: 3078: 3076: 3073: 3071: 3068: 3067: 3065: 3063: 3059: 3053: 3050: 3048: 3045: 3043: 3040: 3038: 3035: 3033: 3030: 3028: 3027:Cohen's kappa 3025: 3024: 3022: 3020: 3016: 3012: 3008: 3004: 3000: 2996: 2991: 2987: 2973: 2970: 2968: 2965: 2963: 2960: 2958: 2955: 2954: 2952: 2950: 2946: 2940: 2936: 2932: 2926: 2924: 2921: 2920: 2918: 2916: 2912: 2906: 2903: 2901: 2898: 2896: 2893: 2891: 2888: 2886: 2883: 2881: 2880:Nonparametric 2878: 2876: 2873: 2872: 2870: 2866: 2860: 2857: 2855: 2852: 2850: 2847: 2845: 2842: 2841: 2839: 2837: 2833: 2827: 2824: 2822: 2819: 2817: 2814: 2812: 2809: 2807: 2804: 2803: 2801: 2799: 2795: 2789: 2786: 2784: 2781: 2779: 2776: 2774: 2771: 2770: 2768: 2766: 2762: 2758: 2751: 2748: 2746: 2743: 2742: 2738: 2734: 2718: 2715: 2714: 2713: 2710: 2708: 2705: 2703: 2700: 2696: 2693: 2691: 2688: 2687: 2686: 2683: 2682: 2680: 2678: 2674: 2664: 2661: 2657: 2651: 2649: 2643: 2641: 2635: 2634: 2633: 2630: 2629:Nonparametric 2627: 2625: 2619: 2615: 2612: 2611: 2610: 2604: 2600: 2599:Sample median 2597: 2596: 2595: 2592: 2591: 2589: 2587: 2583: 2575: 2572: 2570: 2567: 2565: 2562: 2561: 2560: 2557: 2555: 2552: 2550: 2544: 2542: 2539: 2537: 2534: 2532: 2529: 2527: 2524: 2522: 2520: 2516: 2514: 2511: 2510: 2508: 2506: 2502: 2496: 2494: 2490: 2488: 2486: 2481: 2479: 2474: 2470: 2469: 2466: 2463: 2461: 2457: 2447: 2444: 2442: 2439: 2437: 2434: 2433: 2431: 2429: 2425: 2419: 2416: 2412: 2409: 2408: 2407: 2404: 2400: 2397: 2396: 2395: 2392: 2390: 2387: 2386: 2384: 2382: 2378: 2370: 2367: 2365: 2362: 2361: 2360: 2357: 2355: 2352: 2350: 2347: 2345: 2342: 2340: 2337: 2335: 2332: 2331: 2329: 2327: 2323: 2317: 2314: 2310: 2307: 2303: 2300: 2298: 2295: 2294: 2293: 2290: 2289: 2288: 2285: 2281: 2278: 2276: 2273: 2271: 2268: 2266: 2263: 2262: 2261: 2258: 2257: 2255: 2253: 2249: 2246: 2244: 2240: 2234: 2231: 2229: 2226: 2222: 2219: 2218: 2217: 2214: 2212: 2209: 2205: 2204:loss function 2202: 2201: 2200: 2197: 2193: 2190: 2188: 2185: 2183: 2180: 2179: 2178: 2175: 2173: 2170: 2168: 2165: 2161: 2158: 2156: 2153: 2151: 2145: 2142: 2141: 2140: 2137: 2133: 2130: 2128: 2125: 2123: 2120: 2119: 2118: 2115: 2111: 2108: 2106: 2103: 2102: 2101: 2098: 2094: 2091: 2090: 2089: 2086: 2082: 2079: 2078: 2077: 2074: 2072: 2069: 2067: 2064: 2062: 2059: 2058: 2056: 2054: 2050: 2046: 2042: 2037: 2033: 2019: 2016: 2014: 2011: 2009: 2006: 2004: 2001: 2000: 1998: 1996: 1992: 1986: 1983: 1981: 1978: 1976: 1973: 1972: 1970: 1966: 1960: 1957: 1955: 1952: 1950: 1947: 1945: 1942: 1940: 1937: 1935: 1932: 1930: 1927: 1926: 1924: 1922: 1918: 1912: 1909: 1907: 1906:Questionnaire 1904: 1902: 1899: 1895: 1892: 1890: 1887: 1886: 1885: 1882: 1881: 1879: 1877: 1873: 1867: 1864: 1862: 1859: 1857: 1854: 1852: 1849: 1847: 1844: 1842: 1839: 1837: 1834: 1832: 1829: 1828: 1826: 1824: 1820: 1816: 1812: 1807: 1803: 1789: 1786: 1784: 1781: 1779: 1776: 1774: 1771: 1769: 1766: 1764: 1761: 1759: 1756: 1754: 1751: 1749: 1746: 1744: 1741: 1739: 1736: 1734: 1733:Control chart 1731: 1729: 1726: 1724: 1721: 1719: 1716: 1715: 1713: 1711: 1707: 1701: 1698: 1694: 1691: 1689: 1686: 1685: 1684: 1681: 1679: 1676: 1674: 1671: 1670: 1668: 1666: 1662: 1656: 1653: 1651: 1648: 1646: 1643: 1642: 1640: 1636: 1630: 1627: 1626: 1624: 1622: 1618: 1606: 1603: 1601: 1598: 1596: 1593: 1592: 1591: 1588: 1586: 1583: 1582: 1580: 1578: 1574: 1568: 1565: 1563: 1560: 1558: 1555: 1553: 1550: 1548: 1545: 1543: 1540: 1538: 1535: 1534: 1532: 1530: 1526: 1520: 1517: 1515: 1512: 1508: 1505: 1503: 1500: 1498: 1495: 1493: 1490: 1488: 1485: 1483: 1480: 1478: 1475: 1473: 1470: 1468: 1465: 1463: 1460: 1459: 1458: 1455: 1454: 1452: 1450: 1446: 1443: 1441: 1437: 1433: 1429: 1424: 1420: 1414: 1411: 1409: 1406: 1405: 1402: 1398: 1391: 1386: 1384: 1379: 1377: 1372: 1371: 1368: 1362: 1359: 1358: 1354: 1345: 1341: 1337: 1333: 1329: 1325: 1321: 1317: 1310: 1307: 1302: 1300:0-471-36093-7 1296: 1292: 1285: 1282: 1277: 1273: 1269: 1265: 1261: 1257: 1252: 1248:(June 2021). 1247: 1241: 1238: 1233: 1229: 1225: 1221: 1217: 1213: 1206: 1203: 1198: 1194: 1190: 1186: 1182: 1178: 1171: 1168: 1163: 1159: 1155: 1151: 1147: 1143: 1136: 1133: 1128: 1126:0-471-36093-7 1122: 1118: 1111: 1109: 1105: 1098: 1092: 1089: 1086: 1082: 1078: 1075: 1072: 1068: 1064: 1063: 1060:Related tests 1059: 1057: 1055: 1051: 1030: 1026: 994: 990: 963: 955: 954:subset stable 950: 948: 932: 929: 926: 923: 920: 917: 914: 892: 888: 867: 859: 854: 840: 820: 798: 794: 790: 787: 784: 779: 775: 771: 766: 762: 753: 745: 743: 727: 723: 715:It follows a 699: 687: 684: 679: 675: 666: 661: 657: 649: 646: 642: 636: 633: 629: 623: 620: 616: 610: 607: 603: 594: 589: 586: 583: 579: 572: 567: 562: 554: 550: 543: 540: 536: 530: 527: 523: 516: 511: 507: 502: 496: 491: 488: 485: 481: 476: 469: 460: 452: 451: 450: 436: 433: 430: 427: 422: 418: 397: 394: 391: 388: 383: 379: 355: 345: 341: 334: 330: 324: 320: 311: 306: 303: 300: 296: 286: 282: 275: 271: 265: 261: 252: 247: 244: 241: 237: 230: 227: 220: 219: 218: 216: 212: 203: 197: 194: 189: 186: 183: 178: 175: 172: 171: 167: 162: 159: 157: 151: 149: 143: 140: 139: 135: 130: 127: 125: 119: 117: 111: 108: 107: 103: 100: 97: 95: 94: 91: 89: 80: 78: 76: 72: 68: 64: 63:Nathan Mantel 60: 56: 52: 49: 45: 41: 37: 33: 19: 3707:Epidemiology 3678: 3666: 3647: 3640: 3552:Econometrics 3502: / 3485:Chemometrics 3462:Epidemiology 3455: / 3428:Applications 3270:ARIMA model 3217:Q-statistic 3166:Stationarity 3062:Multivariate 3051: 3005: / 3001: / 2999:Multivariate 2997: / 2937: / 2933: / 2707:Bayes factor 2606:Signed rank 2518: 2492: 2484: 2472: 2167:Completeness 2003:Cohort study 1901:Opinion poll 1836:Missing data 1823:Study design 1778:Scatter plot 1700:Scatter plot 1693:Spearman's ρ 1655:Grouped data 1319: 1315: 1309: 1290: 1284: 1259: 1255: 1240: 1215: 1211: 1205: 1180: 1176: 1170: 1145: 1141: 1135: 1116: 1071:McNemar test 1067:McNemar test 1050:well-behaved 1049: 953: 951: 855: 749: 714: 370: 214: 208: 198: 192: 187: 181: 176: 173:Column total 165: 160: 152: 144: 133: 128: 120: 112: 101:No treatment 87: 84: 55:McNemar test 39: 35: 29: 3680:WikiProject 3595:Cartography 3557:Jurimetrics 3509:Reliability 3240:Time domain 3219:(Ljung–Box) 3141:Time-series 3019:Categorical 3003:Time-series 2995:Categorical 2930:(Bernoulli) 2765:Correlation 2745:Correlation 2541:Jarque–Bera 2513:Chi-squared 2275:M-estimator 2228:Asymptotics 2172:Sufficiency 1939:Interaction 1851:Replication 1831:Effect size 1788:Violin plot 1768:Radar chart 1748:Forest plot 1738:Correlogram 1688:Kendall's τ 1262:: 351–382. 1246:Ben Klemens 858:odds ratios 209:The common 75:confounding 3696:Categories 3547:Demography 3265:ARMA model 3070:Regression 2647:(Friedman) 2608:(Wilcoxon) 2546:Normality 2536:Lilliefors 2483:Student's 2359:Resampling 2233:Robustness 2221:divergence 2211:Efficiency 2149:(monotone) 2144:Likelihood 2061:Population 1894:Stratified 1846:Population 1665:Dependence 1621:Count data 1552:Percentile 1529:Dispersion 1462:Arithmetic 1397:Statistics 1316:Biometrics 1142:Biometrics 1081:score test 752:risk ratio 211:odds-ratio 104:Row total 81:Definition 44:stratified 32:statistics 2928:Logistic 2695:posterior 2621:Rank sum 2369:Jackknife 2364:Bootstrap 2182:Bootstrap 2117:Parameter 2066:Statistic 1861:Statistic 1773:Run chart 1758:Pie chart 1753:Histogram 1743:Fan chart 1718:Bar chart 1600:L-moments 1487:Geometric 1276:236308711 927:… 918:∈ 788:… 724:χ 685:− 580:∑ 517:− 482:∑ 461:ξ 434:≠ 297:∑ 238:∑ 98:Treatment 3642:Category 3335:Survival 3212:Johansen 2935:Binomial 2890:Isotonic 2477:(normal) 2122:location 1929:Blocking 1884:Sampling 1763:Q–Q plot 1728:Box plot 1710:Graphics 1605:Skewness 1595:Kurtosis 1567:Variance 1497:Heronian 1492:Harmonic 1197:13655060 1048:, and a 813:, where 141:Controls 3668:Commons 3615:Kriging 3500:Process 3457:studies 3316:Wavelet 3149:General 2316:Plug-in 2110:L space 1889:Cluster 1590:Moments 1408:Outline 1336:2530253 1232:2282717 1162:3001616 213:of the 48:matched 3537:Census 3127:Normal 3075:Manova 2895:Robust 2645:2-way 2637:1-way 2475:-test 2146:  1723:Biplot 1514:Median 1507:Lehmer 1449:Center 1344:497345 1342:  1334:  1297:  1274:  1230:  1195:  1160:  1123:  1094:pairs. 34:, the 3161:Trend 2690:prior 2632:anova 2521:-test 2495:-test 2487:-test 2394:Power 2339:Pivot 2132:shape 2127:scale 1577:Shape 1557:Range 1502:Heinz 1477:Cubic 1413:Index 1332:JSTOR 1272:S2CID 1228:JSTOR 1158:JSTOR 1099:Notes 3394:Test 2594:Sign 2446:Wald 1519:Mode 1457:Mean 1340:PMID 1295:ISBN 1193:PMID 1121:ISBN 1065:The 1012:and 956:iff 907:for 109:Case 65:and 2574:BIC 2569:AIC 1324:doi 1264:doi 1220:doi 1185:doi 1150:doi 1020:max 984:min 465:CMH 46:or 40:CMH 30:In 3698:: 1338:. 1330:. 1320:35 1318:. 1270:. 1258:. 1254:. 1226:. 1216:58 1214:. 1191:. 1181:22 1179:. 1156:. 1146:10 1144:. 1107:^ 853:. 61:, 2519:G 2493:F 2485:t 2473:Z 2192:V 2187:U 1389:e 1382:t 1375:v 1346:. 1326:: 1303:. 1278:. 1266:: 1260:5 1234:. 1222:: 1199:. 1187:: 1164:. 1152:: 1129:. 1036:) 1031:i 1027:r 1023:( 1000:) 995:i 991:r 987:( 964:R 933:n 930:, 924:, 921:1 915:i 893:i 889:r 868:R 841:R 821:n 799:n 795:r 791:, 785:, 780:2 776:r 772:, 767:1 763:r 728:2 700:. 691:) 688:1 680:i 676:T 672:( 667:2 662:i 658:T 650:i 647:2 643:M 637:i 634:1 630:M 624:i 621:2 617:N 611:i 608:1 604:N 595:K 590:1 587:= 584:i 573:2 568:] 563:) 555:i 551:T 544:i 541:1 537:M 531:i 528:1 524:N 512:i 508:A 503:( 497:K 492:1 489:= 486:i 477:[ 470:= 437:1 431:R 428:: 423:1 419:H 398:1 395:= 392:R 389:: 384:0 380:H 356:, 346:i 342:T 335:i 331:C 325:i 321:B 312:K 307:1 304:= 301:i 287:i 283:T 276:i 272:D 266:i 262:A 253:K 248:1 245:= 242:i 231:= 228:R 215:K 201:i 199:T 193:i 191:2 188:M 182:i 180:1 177:M 166:i 164:2 161:N 155:i 153:D 147:i 145:C 134:i 132:1 129:N 123:i 121:B 115:i 113:A 88:i 38:( 20:)

Index

Cochran-Mantel-Haenszel test
statistics
stratified
matched
categorical data
McNemar test
William G. Cochran
Nathan Mantel
William Haenszel
observational studies
confounding
odds-ratio
risk ratio
odds ratios
Simpson's paradox
infinitely differentiable
McNemar test
McNemar test
Conditional logistic regression
score test
conditional logistic regression
Breslow–Day test


ISBN
0-471-36093-7
doi
10.2307/3001616
JSTOR
3001616

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.