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	Model Selection Using Information Theory and the MDL Principle [My Copy] Sociological Methods & Research, Vol. 33, No. 2. (2004), pp. 230-260. by Robert A. Stine posted to aic akaike bayes bic criterion cross-validation file-import-08-10-29 inflation information regression ric risk stepwise tree by pkonings on 2008-10-29 15:37:12 as
	Effect of allelic heterogeneity on the power of the transmission disequilibrium test [My Copy] Effect of allelic heterogeneity on the power of the transmission disequilibrium test, Vol. 18 (2000), pp. 143-156. by S. L. Slager, J. Huang, V. J. Vieland posted to association calculations file-import-08-10-29 genomic genotypic relative risk sample screens size statgen studies survey tdt by pkonings on 2008-10-29 15:37:11 as
	Model Selection Using Information Theory and the MDL Principle [My Copy] Sociological Methods & Research, Vol. 33, No. 2. (2004), pp. 230-260. by Robert A. Stine posted to aic akaike bayes bic criterion cross-validation file-import-08-10-29 inflation information regression ric risk stepwise tree by pkonings on 2008-10-29 15:36:06 as
	Effect of allelic heterogeneity on the power of the transmission disequilibrium test [My Copy] Effect of allelic heterogeneity on the power of the transmission disequilibrium test, Vol. 18 (2000), pp. 143-156. by S. L. Slager, J. Huang, V. J. Vieland posted to association calculations file-import-08-10-29 genomic genotypic relative risk sample screens size statgen studies survey tdt by pkonings on 2008-10-29 15:35:58 as
	Tree-based Multivariate Regression and Density Estimation with Right-censored Data [My Copy] Journal of Multivariate Analysis, Vol. 90, No. 1. (2004), pp. 154-177. by Annette M. Molinaro, Sandrine Dudoit, Mark J. van der Laan posted to 62c99 62g05 62g07 62g08 62g99 62h99 62n02 62p10 analysis and applications biology cart censored comparative cross-validation data data--estimation decision density estimation file-import-08-10-29 function genomic hybridization inference inference--estimation loss medical microarray model multivariate nonparametric outcome prediction regression risk sciences selection survival theory to tree by pkonings on 2008-10-29 15:35:26 as
	Standardized Approach for Developing Probabilistic Exposure Factor Distributions [My Copy] Risk Analysis, Vol. 24, No. 5. (2004), pp. 1185-1199. by Randy L. Maddalena, Thomas E. Mckone, Michael D. Sohn posted to and assessment body cart classification density duration exposure file-import-08-10-29 function pdf probabilistic probability regression risk tree weight by pkonings on 2008-10-29 15:35:22 as
	A generalized estimating equation approach to modelling foetal response in developmental toxicity studies when the number of implants is dose dependent [My Copy] Applied Statistics, Vol. 52 (2003), pp. 51-61. by Anthony Y. C. Kuk posted to assessment death developmental dose dose-dependent equations estimating file-import-08-10-29 foetal foetuses generalized litter malformation or overdispersion risk safe size studies toxicity underdispersion unformed virtually by pkonings on 2008-10-29 15:35:17 as
	Evaluating the Predictiveness of a Continuous Marker [My Copy] Biometrics, Vol. advance access (2007), pp. x-x. by Ying Huang, Margaret S. Pepe, Ziding Feng posted to biomarker characteristic classification curve explained file-import-08-10-29 operation prediction receiver risk variation by pkonings on 2008-10-29 15:35:13 as
	Evaluating the Predictiveness of a Continuous Marker [My Copy] No. 282. (2006) by Ying Huang, Margaret S. Pepe, Ziding Feng posted to biomarker classification curve explained file-import-08-10-29 prediction risk roc variation by pkonings on 2008-10-29 15:35:13 as
	Principles of multilevel modelling [My Copy] International Journal of Epidemiology, Vol. 29, No. 1. (2000), pp. 158-167. by Sander Greenland posted to assessment bayesian empirical-bayes estimation file-import-08-10-29 hierarchical mixed modelling models multilevel random-coefficient regression ridge risk statistics stein by pkonings on 2008-10-29 15:35:08 as
	When Should Epidemiologic Regressions Use Random Coefficients? [My Copy] Biometrics, Vol. 56, No. 3. (2000), pp. 915-921. by Sander Greenland posted to assessment bayes bayesian causal components empirical epidemiologic estimators file-import-08-10-29 hierarchical inference methods mixed modeling models multilevel random-coefficient regression relative risk shrinkage statistics variance by pkonings on 2008-10-29 15:35:08 as
	Supplement to Genome-wide association study identifies novel breast cancer susceptibility loci [My Copy] Nature, Vol. 447, No. 7148. (2007), pp. 1087-1093. by Douglas F. Easton, Karen A. Pooley, Alison M. Dunning, et al.Paul D. P. Pharoah, Deborah Thompson, Dennis G. Ballinger, Jeffery P. Struewing, Jonathan Morrison, Helen Field, Robert Luben, Nicholas Wareham, Shahana Ahmed, Catherine S. Healey, Richard Bowman, Kerstin B. Meyer, Christopher A. Haiman, Laurence K. Kolonel, Brian E. Henderson, Loic Le Marchand, Paul Brennan, Suleeporn Sangrajrang, Valerie Gaborieau, Fabrice Odefrey, Chen Y. Shen, Pei E. Wu, Hui C. Wang, Diana Eccles, Gareth D. Evans, Julian Peto, Olivia Fletcher, Nichola Johnson, Sheila Seal, Michael R. Stratton, Nazneen Rahman, Georgia C. Trench, Stig E. Bojesen, Borge G. Nordestgaard, Christen K. Axelsson, Montserrat G. Closas, Louise Brinton, Stephen Chanock, Jolanta Lissowska, Beata Peplonska, Heli Nevanlinna, Rainer Fagerholm, Hannaleena Eerola, Daehee Kang, Keun Y. Yoo, Dong Y. Noh, Sei H. Ahn, David J. Hunter, Susan E. Hankinson, David G. Cox, Per Hall, Sara Wedren, Jianjun Liu, Yen L. Low, Natalia Bogdanova, Peter Schurmann, Thilo Dork, Rob A. E. M. Tollenaar, Catharina E. Jacobi, Peter Devilee, Jan G. M. Klijn, Alice J. Sigurdson, Michele M. Doody, Bruce H. Alexander, Jinghui Zhang, Angela Cox, Ian W. Brock, Gordon Macpherson, Malcolm W. R. Reed, Fergus J. Couch, Ellen L. Goode, Janet E. Olson, Hanne M. Heijboer, Ans van den Ouweland, Andre Uitterlinden, Fernando Rivadeneira, Roger L. Milne, Gloria Ribas, Anna G. Neira, Javier Benitez, John L. Hopper, Margaret Mccredie, Melissa Southey, Graham G. Giles, Chris Schroen, Christina Justenhoven, Hiltrud Brauch, Ute Hamann, Yon D. Ko, Amanda B. Spurdle, Jonathan Beesley, Xiaoqing Chen, Arto Mannermaa, Veli M. Kosma, Vesa Kataja, Jaana Hartikainen, Nicholas E. Day, David R. Cox, Bruce A. J. Ponder posted to 005 05 10-7 1343 1792 21860 22 22578 227876 25 30 4316 4398 77 a account additional aggregation alleles an and approach association at be breast by cancer cases causative chance common compared conducted conferring confirmation consistent contain controls correlate disease due estimated europeans evidence exhibited exhibits expected familial fgfr2 file-import-08-10-29 five followed for four from further genes genetic genome-wide identifiable identify in independent indicating is known less level likely loci lsp1 many map3k1 may moderate more novel nucleotide of p plausible polymorphisms r2 residual risk risks second significant single snps stage strong studies study susceptibility tested than that the these third this tnrc9 to two-stage used variance variants variation we were which with would by pkonings on 2008-10-29 15:34:59 as
	Genome-wide association study identifies novel breast cancer susceptibility loci [My Copy] Nature, Vol. 447, No. 7148. (2007), pp. 1087-1093. by Douglas F. Easton, Karen A. Pooley, Alison M. Dunning, et al.Paul D. P. Pharoah, Deborah Thompson, Dennis G. Ballinger, Jeffery P. Struewing, Jonathan Morrison, Helen Field, Robert Luben, Nicholas Wareham, Shahana Ahmed, Catherine S. Healey, Richard Bowman, Kerstin B. Meyer, Christopher A. Haiman, Laurence K. Kolonel, Brian E. Henderson, Loic Le Marchand, Paul Brennan, Suleeporn Sangrajrang, Valerie Gaborieau, Fabrice Odefrey, Chen Y. Shen, Pei E. Wu, Hui C. Wang, Diana Eccles, Gareth D. Evans, Julian Peto, Olivia Fletcher, Nichola Johnson, Sheila Seal, Michael R. Stratton, Nazneen Rahman, Georgia C. Trench, Stig E. Bojesen, Borge G. Nordestgaard, Christen K. Axelsson, Montserrat G. Closas, Louise Brinton, Stephen Chanock, Jolanta Lissowska, Beata Peplonska, Heli Nevanlinna, Rainer Fagerholm, Hannaleena Eerola, Daehee Kang, Keun Y. Yoo, Dong Y. Noh, Sei H. Ahn, David J. Hunter, Susan E. Hankinson, David G. Cox, Per Hall, Sara Wedren, Jianjun Liu, Yen L. Low, Natalia Bogdanova, Peter Schurmann, Thilo Dork, Rob A. E. M. Tollenaar, Catharina E. Jacobi, Peter Devilee, Jan G. M. Klijn, Alice J. Sigurdson, Michele M. Doody, Bruce H. Alexander, Jinghui Zhang, Angela Cox, Ian W. Brock, Gordon Macpherson, Malcolm W. R. Reed, Fergus J. Couch, Ellen L. Goode, Janet E. Olson, Hanne M. Heijboer, Ans van den Ouweland, Andre Uitterlinden, Fernando Rivadeneira, Roger L. Milne, Gloria Ribas, Anna G. Neira, Javier Benitez, John L. Hopper, Margaret Mccredie, Melissa Southey, Graham G. Giles, Chris Schroen, Christina Justenhoven, Hiltrud Brauch, Ute Hamann, Yon D. Ko, Amanda B. Spurdle, Jonathan Beesley, Xiaoqing Chen, Arto Mannermaa, Veli M. Kosma, Vesa Kataja, Jaana Hartikainen, Nicholas E. Day, David R. Cox, Bruce A. J. Ponder posted to 005 05 10-7 1343 1792 21860 22 22578 227876 25 30 4316 4398 77 a account additional aggregation alleles an and approach association at be breast by cancer cases causative chance common compared conducted conferring confirmation consistent contain controls correlate disease due estimated europeans evidence exhibited exhibits expected familial fgfr2 file-import-08-10-29 five followed for four from further genes genetic genome-wide identifiable identify in independent indicating is known less level likely loci lsp1 many map3k1 may moderate more novel nucleotide of p plausible polymorphisms r2 residual risk risks second significant single snps stage strong studies study susceptibility tested than that the these third this tnrc9 to two-stage used variance variants variation we were which with would by pkonings on 2008-10-29 15:34:58 as
	Does inequality in self-assessed health predict inequality in survival by income? Evidence from Swedish data [My Copy] Social Science and Medicine, Vol. 57 (2003), pp. 1621-1629. by Eddy van Doorslaer, Ulf G. Gerdtham posted to file-import-08-10-29 health inequality mortality risk self-assessed survival sweden by pkonings on 2008-10-29 15:34:58 as
	The use of hierarchical models for estimating relative risks of individual genetic variants: An application to a study of melanoma [My Copy] Statistics in Medicine, Vol. advance access (2008), pp. x-x. by Marinela Capanu, Irene Orlow, Marianne Berwick, Amanda J. Hummer, Duncan C. Thomas, Colin B. Begg posted to bayesian file-import-08-10-29 genetic hierarchical methods models pseudo-likelihood risk by pkonings on 2008-10-29 15:34:48 as

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