Genetic mixed linear models for twin survival data

Behavior Genetics

Volumn 37, Issue 4, 2007, Pages 621-630

  Ha, Il Do ^a   Lee, Youngjo ^b   Pawitan, Yudi ^c  

^a Daegu Haany University   (South Korea)

^b Seoul National University   (South Korea)

^c KAROLINSKA INSTITUTE   (Sweden)

Author keywords

Environment effect; Genetic effect; Hierarchical likelihood; Left truncation and right censoring; Mixed linear models; Random effects

Indexed keywords

ARTICLE; CONTROLLED STUDY; FEMALE; GENETIC MODEL; HERITABILITY; HUMAN; LIFESPAN; MALE; MATHEMATICAL COMPUTING; METHODOLOGY; ONSET AGE; SIMULATION; STATISTICAL MODEL; SURVIVAL; TWINS;

AGE OF ONSET; ENVIRONMENT; FEMALE; HUMANS; LIFE EXPECTANCY; LIKELIHOOD FUNCTIONS; MALE; MODELS, GENETIC; MODELS, STATISTICAL; REGISTRIES; SURVIVAL ANALYSIS; SWEDEN; TWINS;

EID: 34250790642     PISSN: 00018244     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10519-007-9150-7     Document Type: Article

References (27)

1. Agresti A, Caffo B, Ohman-Strickland P (2004) Example in which misspecification of a random effects distribution reduces efficiency, and possible remedies. Comput Stat Data Anal 47:639-653
2. Chernoff H (1954) On the distribution of the likelihood ratio. Ann Math Stat 25:573-578
3. Ha ID, Lee Y (2005a) Multilevel mixed linear models for survival data. Lifetime Data Anal 11:131-142
4. Ha ID, Lee Y (2005b) Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models. Biometrika 92:717-723
5. Ha ID, Lee Y, Song J-K (2002) Hierarchical likelihood approach for mixed linear models with censored data. Lifetime Data Anal 8:163-176
6. Henderson CR (1975) Best linear unbiased estimation and prediction under a selection model. Biometrics 31:423-447
7. Hougaard P (2000) Analysis of multivariate survival data. Springer-Verlag, New York
8. Klein JP, Pelz C, Zhang M (1999) Modelling random effects for censored data by a multivariate normal regression model. Biometrics 55:497-506
9. Lambert P, Collett D, Kimber A, Johnson R (2004) Parametric accelerated failure time models with random effects and an application to kidney transplant survival. Stat Med 23:3177-3192
10. Lai TZ, Ying Z (1994) A missing information principle and M-estimators in regression analysis with censored and truncated data. Ann Stat 22:1222-1255
11. Lee Y, Nelder JA (1996). Hierarchical generalized linear models (with discussion). J Roy Stat Soc Ser B 58:619-678
12. Lee Y, Nelder JA (2001a) Modelling and analysing correlated non-normal data. Stat Modell 1:3-16
13. Lee Y, Nelder JA (2001b). Hierarchical generalised linear models: a synthesis of generalised linear models, random-effect models and structured dispersions. Biometrika 88:987-1006
14. Neale MC, Cardon LR (1992) Methodology for genetic studies of twin and families. Kluwer Academic, Dordrecht
15. Noh M, Lee Y (2007) REML estimation for binary data in GLMMs. J Multivariate Anal 98:896-915
16. Pawitan Y, Reilly M, Nilsson, E, Cnattingius S, Lichtenstein P (2004) Estimation of genetic and environmental factors for binary traits using family data. Stat Med 23:449-465
17. Self SG, Liang KY (1987) Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. J Am Stat Assoc 82:605-610
18. Sham PC (1998) Statistics in human genetics. Arnold, London
19. Stram DO, Lee JW (1994) Variance components testing in the longitudinal mixed effects model. Biometrics 50:1171-1177
20. Tobin J (1958) Estimation of relationship for limited dependent variables. Econometrica 26:24-36
21. Vu HTV, Knuiman MW (2002) A hybrid ML-EM algorithm for calculation of maximum likelihood estimates in semiparametric shared frailty models. Comput Stat Data Anal 40:173-187
22. Wienke A, Holm NV, Christensen K, Skytthe A, Vaupel JW, Yashin AI (2003) The heritability of cause-specific mortality: a correlated gamma-frailty model applied to mortality due to respiratory disease in Danish twins born 1870-1930. Stat Med 22:3873-3887
23. Wolfinger RD (1993) Covariance structure selection in general mixed models. Communications in Statistics-Simulation and Computation 22: 1079-1106
24. Xue X (2001) Analysis of childhood brain tumour data in New York city using frailty. Stat Med 20:3459-3473
25. Yashin AI, Iachine IA (1995) How long can humans live? Lower bound for biological limit of human longevity calculated from Danish twin data using correlated frailty model. Mech Ageing Dev 80:147-169
26. Yashin AI, Iachine IA, Harris JR (1999) Half of the variation in susceptibility to mortality is genetic: findings from Swedish twin survival data. Behav Genet 29:11-19
27. Zhi X, Grambsch PM, Eberly LE (2005) Likelihood ratio test for the variance component in a semi-parametric shared gamma frailty model. Research Report 2005-005, Division of Biostatistics, University of Minnesota