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Local influence in multilevel models. (English) Zbl 1144.62053

Summary: The authors study the local influence of observations in multilevel regression models. To this end, they perturb simultaneously the variances, responses and the design matrix. To measure the local change caused by these perturbations, they use generalized R. D. Cook statistics [J. R. Stat. Soc., Ser. B 48, 133–169 (1986; Zbl 0608.62041)] for the fixed and random parameter estimates. Closed form local influence measures also allow them to assess the joint influence of various observations. They suggest a simple computation method and illustrate their results using two examples.

MSC:

62J20 Diagnostics, and linear inference and regression
62J05 Linear regression; mixed models
62H12 Estimation in multivariate analysis
62J99 Linear inference, regression
65C60 Computational problems in statistics (MSC2010)

Citations:

Zbl 0608.62041

Software:

MLwiN
Full Text: DOI

References:

[1] Atkinson, Robust Diagnostic Regression Analysis (2000) · Zbl 0964.62063 · doi:10.1007/978-1-4612-1160-0
[2] Banerjee, Influence diagnostics for linear longitudinal models, Journal of the American Statistical Association 92 pp 999– (1997) · Zbl 0889.62063
[3] Beekman, Diagnostics for mixed model analysis, Technomet-rics 29 pp 413– (1987)
[4] Belsley, Regression Diagnostics: Identifying Influential Data and Sources of Collinearity (1980) · Zbl 0479.62056 · doi:10.1002/0471725153
[5] Chatterjee, Sensitivity Analysis in Linear Regression (1988)
[6] Christensen, Case-deletion diagnostics for mixed models, Technometrics 34 pp 38– (1992) · Zbl 0761.62098
[7] Cook, Assessment of local influence, Journal of the Royal Statistical Society Series B 48 pp 133– (1986) · Zbl 0608.62041
[8] Cook, Residuals and Influence in Regression (1982)
[9] Cook, Applied Regression Including Computing and Graphics (1999)
[10] Goldstein, Multilevel mixed linear model analysis using iterativee generalized least squares, Bio-metrika 73 pp 43– (1986) · Zbl 0587.62143
[11] Goldstein, A User’s Guide to MLwiN (1998)
[12] Goldstein, Multilevel Statistical Models (1995) · Zbl 1014.62126
[13] Haslett, A simple derivative of deletion diagnostic results for the general linear model with correlated errors, Journal of The Royal Statistical Society Series B 61 pp 603– (1999) · Zbl 0924.62076
[14] Haslett, Application of ”delete=replace” to deletion diagnostics for variance component estimation in the linear mixed model, Journal of the Royal Statistical Society Series B 66 pp 131– (2004) · Zbl 1060.62081
[15] Hodges, Some algebra and geometry for hierarchical models, applied to diagnostics, Journal of the Royal Statistical Society Series B 60 pp 497– (1998) · Zbl 0909.62072
[16] Langford, Outliers in multilevel data, Journal of the Royal Statistical Society Series A 161 pp 121– (1998) · doi:10.1111/1467-985X.00094
[17] Lawrance, Regression transformation diagnostics using local influence, Journal of the American Statistical Association 83 pp 1067– (1988)
[18] Lesaffre, Local influence in linear mixed models, Biometrics 54 pp 570– (1998) · Zbl 1058.62623
[19] Longford, Simulation-based diagnostics in random-coefficient models, Journal of the Royal Statistical Society Series A 164 pp 259– (2001) · Zbl 1002.62506 · doi:10.1111/1467-985X.00201
[20] Lu, The standardized influence matrix and its application, Journal of the American Statistical Association 92 pp 1572– (1997) · Zbl 0912.62080
[21] Martin, Leverage, influence and residuals in regression models when observations are correlated, Communications in Statistics, Theory and Methods 21 pp 1183– (1992) · Zbl 0800.62369
[22] Mortimore, School Matters (1988)
[23] Ouwens, Local influence to detect influential data structures for generalized linear mixed models, Biometrics 57 pp 1166– (2001) · Zbl 1209.62169
[24] Pefia, The detection of influential subsets in linear regression by using an influence matrix, Journal of the Royal Statistical Society Series B 57 pp 145– (1995)
[25] Poon, Conformai normal curvature and assessment of local influence, Journal of the Royal Statistical Society Series B 61 pp 51– (1999) · Zbl 0913.62062
[26] Schall, Directions in Robust Statistics and Diagnostics, Part II pp 205– (1991) · doi:10.1007/978-1-4612-4444-8_12
[27] Shi, Local influence in principal component analysis, Biometrika 84 pp 175– (1997) · Zbl 0883.62060
[28] Shi, Local influence in multilevel regression for growth curve, Journal of Multivariate Analysis 91 pp 282– (2004)
[29] St-Laurent, Leverage, local influence and curvature in nonlinear regression, Biometrika 80 pp 99– (1993) · Zbl 0769.62044
[30] Thomas, Assessing influence on predictions from generalized linear models, Technometrics 32 pp 59– (1990)
[31] Tsai, Assessing local influence in linear regression models with first-order autoregressive or heteroscedastic error structure, Statistics & Probability Letters 14 pp 247– (1992) · Zbl 0806.62056
[32] Vonesh, Linear and Nonlinear Models for the Analysis of Repeated Measurements (1997) · Zbl 0893.62077
[33] Zhu, Local influence for incomplete data models, Journal of the Royal Statistical Society Series B 63 pp 111– (2001) · Zbl 0976.62071
[34] Zhu, Local influence for generalized linear mixed models, The Canadian Journal of Statistics 31 pp 293– (2003) · Zbl 1042.62068
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