统计研究

参考文献

[1]Wacholder S,Chanock S,Garcia-Closas M,et al.Assessing the probability that a positive report is false:an approach for molecular epidemiology studies[J].Journal of the National Cancer Institute,2004(6):434-442.

[2]March D,Susser E.The eco-in eco-epidemiology[J].International Journal of Epidemiology,2006(6):1379-1383.

[3]Restif O.Evolutionary epidemiology 20 years on:challenges and prospects[J].Infection,Genetics and Evolution,2009(1):108-123.

[4]Ostfeld R S,Glass G E,Keesing F.Spatial epidemiology:an emerging(or re-emerging)discipline[J].Trends in Ecology&Evolution,2005(6):328-336.

[5]Austin P C.The performance of different propensity score methods for estimating marginal hazard ratios[J].Statistics in Medicine,2013(16):2837-2849.

[6]Imai K,Ratkovic M.Covariate balancing propensity score[J].Journal of the Royal Statistical Society:Series B(Statistical Methodology),2014(1):243-263.

[7]Maeda I,Morita T,Yamaguchi T,et al.Effect of continuous deep sedation on survival in patients with advanced cancer(J-Proval):a propensity score-weighted analysis of a prospective cohort study[J].The Lancet Oncology,2016(1):115-122.

[8]Szpiro A A,Paciorek C J.Measurement error in two-stage analyses,with application to air pollution epidemiology[J].Environmetrics,2013(8):501-517.

[9]Szpiro A A,Sheppard L,Adar S D,et al.Estimating acute air pollution health effects from cohort study data[J].Biometrics,2014(1):164-174.

[10]Alexeeff S E,Carroll R J,Coull B.Spatial measurement error and correction by spatial SIMEX in linear regression models when using predicted air pollution exposures[J].Biostatistics,2015.

[11]Ehrhardt S,Appel L J,Meinert C L.Trends in National Institutes of Health Funding for Clinical Trials Registered in Clinical Trials.gov[J].Journal of the American Medical Association,2015(23):2566-2567.

[12]Machin D,Fayers P.Randomized clinical trials:design,practice and reporting[M].John Wiley&Sons,Oxford.2010.

[13]Chow S C,Chang M.Adaptive design methods in clinical trials-a review[J].Orphanet Journal of Rare Diseases,2008(11):169-90.

[14]Rosenberger W F,Lachin J L.Randomization in Clinical Trials:Theory and Practice[M].New York:Wiley.2002.

[15]Efron B.Forcing a sequential experiment to be balanced[J].Biometrika,1971(58):403-417.

[16]Markaryan T,Rosenberger W F.Exact properties of Efron's biased coin randomization procedure[J].Annals of Statistics,2010(38):1546-1567.

[17]Baldi Antognini A.A theoretical analysis of the power of biased coin designs[J].Journal of Statistical Planning and Inference,2008(138):1792-1798.

[18]Hu F,Zhang L X.Asymptotic properties of doubly-adaptive biased coin designs for multitreatment clinical trials[J].Annals of Statistics,2004(32):268-301.

[19]Brown S,Thorpe H,Hawkins K,et al.Minimization-reducing predictability for multi-centre trials whilst retaining balance within centre[J].Statistics in Medicine,2005(25):3715-3727.

[20]Shao J,Yu X,Zhong B.A theory for testing hypotheses under covariate-adaptive randomization[J].Biometrika,2010(97):347-360.

[21]Baldi Antognini A,Zagoraiou M.The covariate-adaptive biased coin design for balancing clinical trials in the presence of prognostic factors[J].Biometrika,2011(98):519-535.

[22]Yuan Y,Huang X,Liu S.A Bayesian response-adaptive covariatebalanced randomization design with application to a leukemia clinical trial[J].Statistics in Medicine,2011(30):1218-1229.

[23]Ma W,Hu F,Zhang L.Testing hypotheses of covariate-adaptive randomized clinical trials[J].Journal of the American Statistical Association,2015(110):669-680.

[24]Hu J,Zhu H,Hu F.A unified family of covariate-adjusted response-adaptive designs based on efficiency and ethics[J].Journal of the American Statistical Association,2015(509):357-367.

[25]Huang T,Zhu H.Longitudinal Covariate-Adjusted ResponseAdaptive Randomization:Impact of Missing Data[M].Boca Raton:CRC Press,2016.

[26]Hartley A M.A Bayesian adaptive blinded sample size adjustment method for risk differences[J].Pharmaceutical Statistics,2015(6):488-514.

[27]Fisher L D,Lin D Y.Time-dependent covariates in the Cox Proportional-hazardsregressionmodel[J].Annual Review of Public Health,1999(1):145-157.

[28]Tsiatis A A,Davidian M.Joint modeling of longitudinal and timeto-event data:an overview[J].Statistica Sinica,2004.809-834.

[29]Ibrahim J G,Chen M H,Sinha D.Bayesian methods for joint modeling of longitudinal and survival data with applications to cancer vaccine trialsp[J].Statistica Sinica,2004.863-883.

[30]Robertson T,Robertson T.Order restricted statistical inference[J].1988.

[31]Huang J.Efficient estimation for the proportional hazards model with interval censoring[J].The Annals of Statistics,1996(2):540-568.

[32]Ma S,Kosorok M R.Robust semiparametric M-estimation and the weighted bootstrap[J].Journal of Multivariate Analysis,2005(1):190-217.

[33]Ma S,Kosorok M R.Adaptive penalized M-estimation with current status data[J].Annals of the Institute of Statistical Mathematics2006,58(3):511-526.

[34]Genest C,Rivest L P.Statistical inference procedures for bivariate Archimedean copulas[J].Journal of the American statistical Association,1993(423):1034-1043.

[35]Hougaard P.Analysis of multivariate survival data[M].New York:Springer-Verlag,2000.

[36]Fine J P,Gray R J.A proportional hazards model for the subdistribution of a competing risk[J].Journal of the American statistical association,1999(446):496-509.

[37]Maller R A,Zhou X.Survival analysis with long-term survivors[M].Wiley New York,1996.

[38]Fang H B,Li G,Sun J.Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional-Hazards Mixture Model[J].Scandinavian Journal of Statistics,2005(1):59-75.

[39]Ma S.Additive risk model for current status data with a cured subgroup[J].Annals of the Institute of Statistical Mathematics,2011(1):117-134.

[40]Ibrahim J G,Chen M H,Mac Eachern S N.Bayesian variable selection for proportional hazards models[J].Canadian Journal of Statistics,1999(4):701-717.

[41]Heagerty P J,Zheng Y.Survival model predictive accuracy and ROC curves[J].Biometrics,2005(1):92-105.

[42]Harrell F E,Califf R M,Pryor D B,et al.Evaluating the yield of medical tests[J].Jama,1982(18):2543-2546.

[43]Pencina M J,D'Agostino R B.Overall C as a measure of discrimination in survival analysis:model specific population value and confidence interval estimation[J].Statistics in medicine,2004(13):2109-2123.

[44]Ma S,Song X.Ranking prognosis markers in cancer genomic studies[J].Briefings in bioinformatics,2010.

[45]Lu Y,Fang J,Tian L,et al.Advanced medical statistics[J].World Scientific,2015.5.

[46]Donoho D L.High-dimensional data analysis:The curses and blessings of dimensionality.[J].AMS Math Challenges Lecture,2000.1-32.

[47]Tibshirani R.Regression shrinkage and selection via the lasso[J].Journal of the Royal Statistical Society.Series B(Methodological),1996.267-288.

[48]Fan J,Li R.Variable selection via nonconcave penalized likelihood and its oracle properties[J].Journal of the American statistical Association,2001(456):1348-1360.

[49]Zhang C H.Nearly unbiased variable selection under minimax concave penalty[J].The Annals of statistics,2010.894-942.

[50]Zou H.The adaptive lasso and its oracle properties[J].Journal of the American statistical association,2006(476):1418-1429.

[51]Zou H,Hastie T.Regularization and variable selection via the elastic net[J].Journal of the Royal Statistical Society:Series B(Statistical Methodology),2005(2):301-320.

[52]Yuan M,Lin Y.Model selection and estimation in regression with grouped variables[J].Journal of the Royal Statistical Society:Series B(Statistical Methodology),2006(1):49-67.

[53]Ma S,Song X,Huang J.Supervised group Lasso with applications to microarray data analysis[J].BMC bioinformatics,2007(1):1.

[54]Huang J,Ma S,Xie H,et al.A group bridge approach for variable selection[J].Biometrika,2009(2):339-355.

[55]Friedman J,Hastie T,Tibshirani,et al.A note on the group lasso and a sparse group lasso[J].ar Xiv preprint ar Xiv,2010.

[56]Huang J,Breheny P,Ma S,et al.A selective review of group selection in high-dimensional models[J].Statistical science:a review journal of the Institute of Mathematical Statistics,2012,27(4).

[57]Li C,Li H,et al.Network-constrained regularization and variable selection for analysis of genomic data[J].Bioinformatics,2008(9):1175-1182.

[58]Huang J,Ma S,Li H,et al.The sparse Laplacian shrinkage estimator for high-dimensional regression[J].Annals of statistics,2011(4):2021.

[59]Shi X,Zhao Q,Huang J,et al.Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach[J].Bioinformatics,2015(24):3977-3983.

[60]Friedman J,Hastie T,Tibshirani R,et al.Sparse inverse covariance estimation with the graphical lasso[J].Biostatistics,2008(3):432-441.

[61]Peng J,Wang P,Zhou N,et al.Partial correlation estimation by joint sparse regression models[J].Journal of the American Statistical Association,2012.

[62]Witten D M,Tibshirani R.Covariance-regularized regression and classification for high dimensional problems[J].Journal of the Royal Statistical Society:Series B(Statistical Methodology),2009(3):615-636.

[63]Wang W,Baladandayuthapani V,Morris J S,et al.i BAG:integrative Bayesian analysis of high-dimensional multiplatform genomics data[J].Bioinformatics,2013(2):149-159.

[64]Benjamini Y,Hochberg Y.Controlling the false discovery rate:a practical and powerful approach to multiple testing[J].Journal of the Royal Statistical Society.Series B(Methodological),1995.289-300.

[65]Gilbert P B.A modified false discovery rate multiple-comparisons procedure for discrete data,applied to human immunodeficiency virus genetics[J].Journal of the Royal Statistical Society:Series C(Applied Statistics),2005(1):143-158.

[66]Storey J D.A direct approach to false discovery rates[J].Journal of the Royal Statistical Society:Series B(Statistical Methodology),2002(3):479-498.

[67]Efron B.Local false discovery rates[M].Division of Biostatistics,Stanford University.2005.

[68]Tsai C A,Hsueh H M,Chen J J.Estimation of false discovery rates in multiple testing:application to gene microarray data[J].Biometrics,2003(4):1071-1081.

[69]Benjamini Y,Yekutieli D.The control of the false discovery rate in multiple testing under dependency[J].Annals of statistics,2001.1165-1188.

[70]Wu W B.On false discovery control under dependence[J].The Annals of statistics,2008.364-380.

[71]Sun W,Tony Cai T.Large-scale multiple testing under dependence[J].Journal of the Royal Statistical Society:Series B(Statistical Methodology),2009(2):393-424.

[72]Liu J,Peissig P,Zhang C,et al.Graphical-model based multiple testing under dependence,with applications to genome-wide association studies[A].In Uncertainty in artificial intelligence:proceedings of the...Conference.Conference on Uncertainty in Artificial Intelligence[C].NIH Public Access,2012.511.