Simple and fast overidentified rank estimation for right‐censored length‐biased data and backward recurrence time (English)
- New search for: Sun, Yifei
- New search for: Chan, Kwun Chuen Gary
- New search for: Qin, Jing
- New search for: Sun, Yifei
- New search for: Chan, Kwun Chuen Gary
- New search for: Qin, Jing
In:
BIOMETRICS -WASHINGTON-
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74
, 1
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77-85
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2018
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ISSN:
- Article (Journal) / Print
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Title:Simple and fast overidentified rank estimation for right‐censored length‐biased data and backward recurrence time
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Contributors:
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Published in:BIOMETRICS -WASHINGTON- ; 74, 1 ; 77-85
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Publisher:
- New search for: Wiley-Blackwell
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Publication date:2018-01-01
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Size:9 pages
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ISSN:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 519.5 / 574
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© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents – Volume 74, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Issue information ‐ toc & cover information| 2018
- 3
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Issue information ‐ masthead| 2018
- 4
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Issue information ‐ ed board| 2018
- 8
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Covariate selection with group lasso and doubly robust estimation of causal effectsKoch, Brandon / Vock, David M. / Wolfson, Julian et al. | 2018
- 18
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Incorporating patient preferences into estimation of optimal individualized treatment rulesButler, Emily L. / Laber, Eric B. / Davis, Sonia M. / Kosorok, Michael R. et al. | 2018
- 27
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Evaluating principal surrogate markers in vaccine trials in the presence of multiphase samplingHuang, Ying et al. | 2018
- 40
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A gatekeeping procedure to test a primary and a secondary endpoint in a group sequential design with multiple interim looksTamhane, Ajit C. / Gou, Jiangtao / Jennison, Christopher / Mehta, Cyrus R. / Curto, Teresa et al. | 2018
- 49
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Covariate‐adjusted response‐adaptive randomization for multi‐arm clinical trials using a modified forward looking gittins index ruleVillar, Sofía S. / Rosenberger, William F. et al. | 2018
- 58
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Outcome‐dependent sampling with interval‐censored failure time dataZhou, Qingning / Cai, Jianwen / Zhou, Haibo et al. | 2018
- 68
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Semiparametric probit models with univariate and bivariate current‐status dataLiu, Hao / Qin, Jing et al. | 2018
- 77
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Simple and fast overidentified rank estimation for right‐censored length‐biased data and backward recurrence timeSun, Yifei / Chan, Kwun Chuen Gary / Qin, Jing et al. | 2018
- 86
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A local agreement pattern measure based on hazard functions for survival outcomesDai, Tian / Guo, Ying / Peng, Limin / Manatunga, Amita K. et al. | 2018
- 100
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A pairwise likelihood augmented cox estimator for left‐truncated dataWu, Fan / Kim, Sehee / Qin, Jing / Saran, Rajiv / Li, Yi et al. | 2018
- 109
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Flcrm: functional linear cox regression modelKong, Dehan / Ibrahim, Joseph G. / Lee, Eunjee / Zhu, Hongtu et al. | 2018
- 118
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Cox regression with dependent error in covariatesHuang, Yijian / Wang, Ching‐Yun et al. | 2018
- 127
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Functional multiple indicators, multiple causes measurement error modelsTekwe, Carmen D. / Zoh, Roger S. / Bazer, Fuller W. / Wu, Guoyao / Carroll, Raymond J. et al. | 2018
- 135
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Model‐based bootstrapping when correcting for measurement error with application to logistic regressionBuonaccorsi, John P. / Romeo, Giovanni / Thoresen, Magne et al. | 2018
- 145
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Robust mislabel logistic regression without modeling mislabel probabilitiesHung, Hung / Jou, Zhi‐Yu / Huang, Su‐Yun et al. | 2018
- 155
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Computation of ancestry scores with mixed families and unrelated individualsZhou, Yi‐Hui / Marron, James S. / Wright, Fred A. et al. | 2018
- 165
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Multiple phenotype association tests using summary statistics in genome‐wide association studiesLiu, Zhonghua / Lin, Xihong et al. | 2018
- 176
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Multivariate association analysis with somatic mutation dataHe, Qianchuan / Liu, Yang / Peters, Ulrike / Hsu, Li et al. | 2018
- 185
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Inferring network structure in non‐normal and mixed discrete‐continuous genomic dataBhadra, Anindya / Rao, Arvind / Baladandayuthapani, Veerabhadran et al. | 2018
- 196
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Fast approximation of small p‐values in permutation tests by partitioning the permutationsSegal, Brian D. / Braun, Thomas / Elliott, Michael R. / Jiang, Hui et al. | 2018
- 207
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Global sensitivity analysis for repeated measures studies with informative drop‐out: a semi‐parametric approachScharfstein, Daniel / McDermott, Aidan / Díaz, Iván / Carone, Marco / Lunardon, Nicola / Turkoz, Ibrahim et al. | 2018
- 220
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A profile likelihood approach for longitudinal data analysisChen, Ziqi / Tang, Man‐Lai / Gao, Wei et al. | 2018
- 229
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Fpca‐based method to select optimal sampling schedules that capture between‐subject variability in longitudinal studiesWu, Meihua / Diez‐Roux, Ana / Raghunathan, Trivellore E. / Sánchez, Brisa N. et al. | 2018
- 239
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Model‐free scoring system for risk prediction with application to hepatocellular carcinoma studyShen, Weining / Ning, Jing / Yuan, Ying / Lok, Anna S. / Feng, Ziding et al. | 2018
- 249
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A bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkersTayob, Nabihah / Stingo, Francesco / Do, Kim‐Anh / Lok, Anna S. F. / Feng, Ziding et al. | 2018
- 260
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Conditional adaptive bayesian spectral analysis of nonstationary biomedical time seriesBruce, Scott A. / Hall, Martica H. / Buysse, Daniel J. / Krafty, Robert T. et al. | 2018
- 270
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Bayescat: bayesian co‐estimation of alignment and treeShim, Heejung / Larget, Bret et al. | 2018
- 280
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Estimating the size of an open population using sparse capture–recapture dataHuggins, Richard / Stoklosa, Jakub / Roach, Cameron / Yip, Paul et al. | 2018
- 289
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Evaluating center performance in the competing risks setting: application to outcomes of wait‐listed end‐stage renal disease patientsDharmarajan, Sai H. / Schaubel, Douglas E. / Saran, Rajiv et al. | 2018
- 300
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Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological informationSafo, Sandra E. / Li, Shuzhao / Long, Qi et al. | 2018
- 313
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Multi‐subgroup gene screening using semi‐parametric hierarchical mixture models and the optimal discovery procedure: application to a randomized clinical trial in multiple myelomaMatsui, Shigeyuki / Noma, Hisashi / Qu, Pingping / Sakai, Yoshio / Matsui, Kota / Heuck, Christoph / Crowley, John et al. | 2018
- 321
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Estimating the probability of clonal relatedness of pairs of tumors in cancer patientsMauguen, Audrey / Seshan, Venkatraman E. / Ostrovnaya, Irina / Begg, Colin B. et al. | 2018
- 331
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Profiling the effects of short time‐course cold ischemia on tumor protein phosphorylation using a bayesian approachWu, You / Gaskins, Jeremy / Kong, Maiying / Datta, Susmita et al. | 2018
- 342
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Spatial bayesian latent factor regression modeling of coordinate‐based meta‐analysis dataMontagna, Silvia / Wager, Tor / Barrett, Lisa Feldman / Johnson, Timothy D. / Nichols, Thomas E. et al. | 2018
- 354
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A note on marginalization of regression parameters from mixed models of binary outcomesHedeker, Donald / du Toit, Stephen H. C. / Demirtas, Hakan / Gibbons, Robert D. et al. | 2018
- 362
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Why you cannot transform your way out of trouble for small countsWarton, David I. et al. | 2018
- 369
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On the reliability of n‐mixture models for count dataBarker, Richard J. / Schofield, Matthew R. / Link, William A. / Sauer, John R. et al. | 2018
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Alexbottle and paulaylin. statistical methods for healthcare performance monitoring. boca raton, crc press.Kurz, Christoph F. et al. | 2018
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Marcoscutari and jean‐baptistedenis. bayesian networks: with examples in r. boca raton, crc press.Tattar, Prabhanjan et al. | 2018
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Gerhardtutz and matthiasschmid. modeling discrete time‐to‐event data. heidelberg, springer.Beyersmann, Jan et al. | 2018
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Robertelashoff, gangli and ningli. joint modeling of longitudinal and time‐to‐event data. boca raton, crc press.Jacqmin‐Gadda, Hélène et al. | 2018
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Jinqiaoduan. an introduction to stochastic dynamics. new york, cambridge university press.Müller, Johannes et al. | 2018
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Niels g.becker. modeling to inform infectious disease control. boca raton, crc press.Kuttler, Christina et al. | 2018
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Chulahn, moonseongheo and songzhang. sample size calculations for clustered and longitudinal outcomes in clinical research. boca raton, crc press.Michalek, Joel et al. | 2018
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Maxkuhn and kjelljohnson. applied predictive modeling. new york, springer.Rizopoulos, Dimitris et al. | 2018
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Report of the editors—2017| 2018
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Issue information ‐ cover| 2018