메뉴 건너뛰기




Volumn 48, Issue 5, 2006, Pages 838-848

Maximally selected chi-square statistics and binary splits of nominal variables

Author keywords

Association test; Categorical variables; Contingency table; Exact distribution; Selection bias; Variable selection

Indexed keywords

ASSOCIATION TEST; CATEGORICAL VARIABLES; CHI-SQUARE STATISTICS; COMBINATORIAL APPROACH; CONTINGENCY TABLE; CUT-POINT; EXACT DISTRIBUTION; NOMINAL VARIABLES; SELECTION BIAS; VARIABLES SELECTIONS;

EID: 33750533760     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.200510191     Document Type: Article
Times cited : (20)

References (25)
  • 2
    • 0032484346 scopus 로고    scopus 로고
    • Admissibility of exact conditional tests of stochastic order
    • Berger, V. (1998). Admissibility of exact conditional tests of stochastic order. Journal of Statistical Planning and Inference 66, 39-50.
    • (1998) Journal of Statistical Planning and Inference , vol.66 , pp. 39-50
    • Berger, V.1
  • 4
    • 33745662195 scopus 로고    scopus 로고
    • Maximally selected chi-square statistics for ordinal variables
    • DOI 10.1002/bimj.200510161
    • Boulesteix, A.-L. (2006). Maximally selected chi-square statistics for ordinal variables. Biametrical Journal 48, DOI 10.1002/bimj.200510161.
    • (2006) Biametrical Journal , vol.48
    • Boulesteix, A.-L.1
  • 6
    • 0031685947 scopus 로고    scopus 로고
    • Obstacles to reducing cesarean rates in a lowcesarean setting: The effect of maternal age, height, and weight
    • Cnattingius, R., Cnattingius, S., and Notzon, F. C. (1998). Obstacles to reducing cesarean rates in a lowcesarean setting: the effect of maternal age, height, and weight. Obstetrics and Gynecology 92, 501-506.
    • (1998) Obstetrics and Gynecology , vol.92 , pp. 501-506
    • Cnattingius, R.1    Cnattingius, S.2    Notzon, F.C.3
  • 7
    • 0017188743 scopus 로고
    • A generalization of the one-sided two-sample Kolmogorov-Smimov statistic for evaluating diagnostic tests
    • Gail, M. H. and Green, S. B. (1976). A generalization of the one-sided two-sample Kolmogorov-Smimov statistic for evaluating diagnostic tests. Biometrics 32, 561-570.
    • (1976) Biometrics , vol.32 , pp. 561-570
    • Gail, M.H.1    Green, S.B.2
  • 8
    • 0032758775 scopus 로고    scopus 로고
    • Minimally selected p and other tests for a single abrupt changepoint in a binary sequence
    • Halpem, A. L. (1999). Minimally selected p and other tests for a single abrupt changepoint in a binary sequence. Biometrics 55, 1044-1050.
    • (1999) Biometrics , vol.55 , pp. 1044-1050
    • Halpem, A.L.1
  • 9
    • 0020341898 scopus 로고
    • Maximally selected Chi square statistics for small samples
    • Halpem, J. (1982). Maximally selected Chi square statistics for small samples. Biometrics 38, 1017-1023.
    • (1982) Biometrics , vol.38 , pp. 1017-1023
    • Halpem, J.1
  • 10
    • 0038457682 scopus 로고    scopus 로고
    • On the exact distribution of maximally selected rank statistics
    • Hothorn, T. and Lausen, B. (2003). On the exact distribution of maximally selected rank statistics. Computational Statistics and Data Analysis 43, 121-137.
    • (2003) Computational Statistics and Data Analysis , vol.43 , pp. 121-137
    • Hothorn, T.1    Lausen, B.2
  • 11
    • 10844235886 scopus 로고    scopus 로고
    • A comparison of the three conditional exact tests in two-way contingency tables using the unconditional exact power
    • Kang, S.-H. and Kim, S.-J. (2004). A comparison of the three conditional exact tests in two-way contingency tables using the unconditional exact power. Biometrical Journal 46, 320-330.
    • (2004) Biometrical Journal , vol.46 , pp. 320-330
    • Kang, S.-H.1    Kim, S.-J.2
  • 13
    • 0026348586 scopus 로고
    • On maximally selected Chi-square statistics
    • Koziol, J. A. (1991). On maximally selected Chi-square statistics. Biometrics 47, 1557-1561.
    • (1991) Biometrics , vol.47 , pp. 1557-1561
    • Koziol, J.A.1
  • 15
    • 0036005349 scopus 로고    scopus 로고
    • Maximally selected rank statistics for dose-response problems
    • Lausen, B., Lerche, R., and Schumacher, M. (2002). Maximally selected rank statistics for dose-response problems. Biometrical Journal 44, 131-147.
    • (2002) Biometrical Journal , vol.44 , pp. 131-147
    • Lausen, B.1    Lerche, R.2    Schumacher, M.3
  • 16
    • 0026576048 scopus 로고
    • Maximally selected rank statistics
    • Lausen, B. and Schumacher, M. (1992). Maximally selected rank statistics. Biometrics 48, 73-85.
    • (1992) Biometrics , vol.48 , pp. 73-85
    • Lausen, B.1    Schumacher, M.2
  • 17
    • 0030110581 scopus 로고    scopus 로고
    • Evaluating the effect of optimized cutoff values in the assessment of prognostic factors
    • Lausen, B. and Schumacher, M. (1996). Evaluating the effect of optimized cutoff values in the assessment of prognostic factors. Computational Statistics and Data Analysis 21, 307-326.
    • (1996) Computational Statistics and Data Analysis , vol.21 , pp. 307-326
    • Lausen, B.1    Schumacher, M.2
  • 19
    • 0020343311 scopus 로고
    • Maximally selected Chi square statistics
    • Miller, R. and Siegmund, D. (1982). Maximally selected Chi square statistics. Biometrics 48, 1011-1016.
    • (1982) Biometrics , vol.48 , pp. 1011-1016
    • Miller, R.1    Siegmund, D.2
  • 20
    • 0033858015 scopus 로고    scopus 로고
    • Approximating the distribution of maximally selected McNemar's statistics
    • Rabinowitz, D. and Betensky, R. A. (2000). Approximating the distribution of maximally selected McNemar's statistics. Biometrics 56, 897-902.
    • (2000) Biometrics , vol.56 , pp. 897-902
    • Rabinowitz, D.1    Betensky, R.A.2
  • 21
    • 22144453601 scopus 로고    scopus 로고
    • Drop-the-losers design: Normal case
    • Sampson, A. R. and Sill, M. W. (2005). Drop-the-Losers Design: Normal Case. Biometrical Journal 47, 257-268.
    • (2005) Biometrical Journal , vol.47 , pp. 257-268
    • Sampson, A.R.1    Sill, M.W.2
  • 22
    • 0033273293 scopus 로고    scopus 로고
    • Regression trees for survival data - An approach to select discontinuous split points by rank statistics
    • Schlingen, R. (1999). Regression trees for survival data - An approach to select discontinuous split points by rank statistics. Biometrical Journal 41, 943-954.
    • (1999) Biometrical Journal , vol.41 , pp. 943-954
    • Schlingen, R.1
  • 23
    • 0042409675 scopus 로고    scopus 로고
    • Selecting the best splits for classification trees with categorical variables
    • Shih, Y. S. (2001). Selecting the best splits for classification trees with categorical variables. Statistics and Probability Letters 54, 341-345.
    • (2001) Statistics and Probability Letters , vol.54 , pp. 341-345
    • Shih, Y.S.1
  • 24
    • 1842630388 scopus 로고    scopus 로고
    • A note on split selection bias in classification trees
    • Shih, Y. S. (2004). A note on split selection bias in classification trees. Computational Statistics and Data Analysis 45, 457-466.
    • (2004) Computational Statistics and Data Analysis , vol.45 , pp. 457-466
    • Shih, Y.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.