Statistical optimization of parametric accelerated failure time model for mapping survival trait loci

Theoretical and Applied Genetics

Volumn 122, Issue 5, 2011, Pages 855-863

  Piao, Zhongze ^a   Zhou, Xiaojing ^b   Yan, Li ^b   Guo, Ying ^b   Yang, Runqing ^b,c   Luo, Zhixiang ^d   Prows, Daniel R ^e  

^a INSTITUTE OF EDIBLE FUNGI   (China)

^b HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY   (China)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

^d RICE RESEARCH INSTITUTE   (China)

^e CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE LUNG INJURY; AFT MODEL; BAYESIAN INFORMATION CRITERION; DATA ANALYSIS; DE FACTO STANDARD; EM ALGORITHMS; ERROR DISTRIBUTIONS; FAILURE TIME; FUNDAMENTAL MODELS; INTERVAL MAPPING; LOG-LOGISTIC DISTRIBUTION; MAXIMUM LIKELIHOOD ESTIMATE; MODEL SELECTION CRITERIA; OPTIMAL MAPPING; PARAMETRIC APPROACH; QUANTITATIVE TRAIT LOCUS; REAL DATA SETS; SEMIPARAMETRIC MODELS; SKEWED DISTRIBUTION; STATISTICAL OPTIMIZATION; SURVIVAL ANALYSIS; SURVIVAL DISTRIBUTIONS; SURVIVAL FUNCTION;

ALGORITHMS; BIOINFORMATICS; DATA REDUCTION; MAPPING; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; QUALITY ASSURANCE;

WEIBULL DISTRIBUTION;

ACUTE LUNG INJURY; ALGORITHM; ANIMAL; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; C57BL MOUSE; CHROMOSOME MAP; FEMALE; GENETICS; MALE; MOUSE; PHENOTYPE; QUANTITATIVE TRAIT LOCUS; RICE; STATISTICAL MODEL; SURVIVAL;

ACUTE LUNG INJURY; ALGORITHMS; ANIMALS; BAYES THEOREM; CHROMOSOME MAPPING; FEMALE; LIKELIHOOD FUNCTIONS; MALE; MICE; MICE, INBRED C57BL; MODELS, GENETIC; MODELS, STATISTICAL; ORYZA SATIVA; PHENOTYPE; QUANTITATIVE TRAIT LOCI; SURVIVAL ANALYSIS;

EID: 79952445421     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-010-1491-6     Document Type: Article

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