Printed from https://ideas.repec.org/s/bla/biomet8.html
Content
June 2016, Volume 72, Issue 2
- 649-658 Capitalizing on opportunistic data for monitoring relative abundances of species
by Christophe Giraud & Clément Calenge & Camille Coron & Romain Julliard - 659-660 MICHAEL FRIENDLY AND DAVID MEYER . Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data . Boca Raton, FL : CRC Press
by Alan Agresti - 660-661 ADRIAN BADDELEY , EGE RUBAK , AND ROLF TURNER , Spatial Point Patterns: Methodology and Applications with R . Boca Raton, FL : CRC Press
by M. N. M. van Lieshout - 661-661 TAN WAI-YUAN , Stochastic Models with Applications to Genetics, Cancers, AIDS, and Other Biomedical Systems, 2-super-nd ed . Singapore : World Scientific Publishing Co
by Silke Rolles - 661-662 KATIE HARRON , HARVEY GOLDSTEIN , AND CHRIS DIBBEN , eds, Methodological Developments in Data Linkage . New York : Wiley
by Donna Pauler Ankerst
March 2016, Volume 72, Issue 1
- 10-19 Comparing treatment policies with assistance from the structural nested mean model
by Xi Lu & Kevin G. Lynch & David W. Oslin & Susan Murphy - 20-29 New methods for treatment effect calibration, with applications to non-inferiority trials
by Zhiwei Zhang & Lei Nie & Guoxing Soon & Zonghui Hu - 30-38 Augmented case-only designs for randomized clinical trials with failure time endpoints
by James Y. Dai & Xinyi Cindy Zhang & Ching-Yun Wang & Charles Kooperberg - 39-45 Comparison of multiple hazard rate functions
by Zhongxue Chen & Hanwen Huang & Peihua Qiu - 46-55 Mixed effects models for recurrent events data with partially observed time-varying covariates: Ecological momentary assessment of smoking
by Stephen L. Rathbun & Saul Shiffman - 56-63 Bayesian framework for parametric bivariate accelerated lifetime modeling and its application to hospital acquired infections
by D. Bilgili & D. Ryu & Ö. Ergönül & N. Ebrahimi - 64-73 Quantile regression analysis of censored longitudinal data with irregular outcome-dependent follow-up
by Xiaoyan Sun & Limin Peng & Amita Manatunga & Michele Marcus - 74-84 Parametric modeling of quantile regression coefficient functions
by Paolo Frumento & Matteo Bottai - 85-94 Detection of gene–gene interactions using multistage sparse and low-rank regression
by Hung Hung & Yu-Ting Lin & Penweng Chen & Chen-Chien Wang & Su-Yun Huang & Jung-Ying Tzeng - 95-105 Optimum study design for detecting imprinting and maternal effects based on partial likelihood
by Fangyuan Zhang & Abbas Khalili & Shili Lin - 106-115 A bivariate measurement error model for semicontinuous and continuous variables: Application to nutritional epidemiology
by Victor Kipnis & Laurence S. Freedman & Raymond J. Carroll & Douglas Midthune - 116-124 A general class of recapture models based on the conditional capture probabilities
by A. Farcomeni - 125-135 Flexible behavioral capture–recapture modeling
by Danilo Alunni Fegatelli & Luca Tardella - 136-145 Rediscovery of Good–Turing estimators via Bayesian nonparametrics
by Stefano Favaro & Bernardo Nipoti & Yee Whye Teh - 146-155 PenPC : A two-step approach to estimate the skeletons of high-dimensional directed acyclic graphs
by Min Jin Ha & Wei Sun & Jichun Xie - 156-164 Test for rare variants by environment interactions in sequencing association studies
by Xinyi Lin & Seunggeun Lee & Michael C. Wu & Chaolong Wang & Han Chen & Zilin Li & Xihong Lin - 165-174 Pathway analysis for RNA-Seq data using a score-based approach
by Yi-Hui Zhou - 175-183 The cross-cut statistic and its sensitivity to bias in observational studies with ordered doses of treatment
by Paul R. Rosenbaum - 184-192 Nonparametric Bayes modeling for case control studies with many predictors
by Jing Zhou & Amy H. Herring & Anirban Bhattacharya & Andrew F. Olshan & David B. Dunson - 193-203 A Bayesian joint model of menstrual cycle length and fecundity
by Kirsten J. Lum & Rajeshwari Sundaram & Germaine M. Buck Louis & Thomas A. Louis - 204-214 Joint frailty models for zero-inflated recurrent events in the presence of a terminal event
by Lei Liu & Xuelin Huang & Alex Yaroshinsky & Janice N. Cormier - 215-221 On the restricted mean survival time curve in survival analysis
by Lihui Zhao & Brian Claggett & Lu Tian & Hajime Uno & Marc A. Pfeffer & Scott D. Solomon & Lorenzo Trippa & L. J. Wei - 222-231 A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
by Lianming Wang & Christopher S. McMahan & Michael G. Hudgens & Zaina P. Qureshi - 232-241 Confidence intervals for the ratio of two median residual lifetimes with left-truncated and right-censored data
by Tsung-Hsien Tsai & Wei-Yann Tsai & Yunchan Chi & Sheng-Mao Chang - 242-252 A two-step semiparametric method to accommodate sampling weights in multiple imputation
by Hanzhi Zhou & Michael R. Elliott & Trviellore E. Raghunathan - 253-261 An approximate marginal logistic distribution for the analysis of longitudinal ordinal data
by Nazanin Nooraee & Fentaw Abegaz & Johan Ormel & Ernst Wit & Edwin R van den Heuvel - 262-271 Population size and stopover duration estimation using mark–resight data and Bayesian analysis of a superpopulation model
by James E. Lyons & William L. Kendall & J. Andrew Royle & Sarah J. Converse & Brad A. Andres & Joseph B. Buchanan - 272-280 Subsampling versus bootstrapping in resampling-based model selection for multivariable regression
by Riccardo De Bin & Silke Janitza & Willi Sauerbrei & Anne-Laure Boulesteix - 281-288 A Bayesian model for quantifying the change in mortality associated with future ozone exposures under climate change
by Stacey E. Alexeeff & Gabriele G. Pfister & Doug Nychka - 289-298 Efficient estimation and prediction for the Bayesian binary spatial model with flexible link functions
by Vivekananda Roy & Evangelos Evangelou & Zhengyuan Zhu - 299-302 Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification
by Yaakov Malinovsky & Paul S. Albert & Anindya Roy - 303-304 Rejoinder to “Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification”
by Christopher S. McMahan & Joshua M. Tebbs & Christopher R. Bilder - 304-304 Rejoinder to “Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification”
by Michael G. Hudgens - 305-306 WEILI HE , JOSÉ PINHEIRO , and OLGA M. KUZNETSOVA . Practical Considerations for Adaptive Trial Design and Implementation . Springer, New York
by Seonwoo Kim - 306-307 Edited by SVERDLOV O. MODERN . Adaptive Randomized Clinical Trials: Statistical and Practical Aspects . Boca Raton, FL . Chapman & Hall/CRC
by Jungnam Joo
September 2015, Volume 71, Issue 3
- 563-574 Bayesian function‐on‐function regression for multilevel functional data
by Mark J. Meyer & Brent A. Coull & Francesco Versace & Paul Cinciripini & Jeffrey S. Morris - 575-584 Bayesian modeling and analysis for gradients in spatiotemporal processes
by Harrison Quick & Sudipto Banerjee & Bradley P. Carlin - 585-595 Bayesian nonlinear model selection for gene regulatory networks
by Yang Ni & Francesco C. Stingo & Veerabhadran Baladandayuthapani - 596-605 An exposure‐weighted score test for genetic associations integrating environmental risk factors
by Summer S. Han & Philip S. Rosenberg & Arpita Ghosh & Maria Teresa Landi & Neil E. Caporaso & Nilanjan Chatterjee - 606-615 Set‐based tests for genetic association in longitudinal studies
by Zihuai He & Min Zhang & Seunggeun Lee & Jennifer A. Smith & Xiuqing Guo & Walter Palmas & Sharon L. R. Kardia & Ana V. Diez Roux & Bhramar Mukherjee - 616-624 A moving blocks empirical likelihood method for longitudinal data
by Jin Qiu & Lang Wu - 625-635 Quantile regression with a change‐point model for longitudinal data: An application to the study of cognitive changes in preclinical alzheimer's disease
by Chenxi Li & N. Maritza Dowling & Rick Chappell - 636-644 Doubly‐robust dynamic treatment regimen estimation via weighted least squares
by Michael P. Wallace & Erica E. M. Moodie - 645-653 Regularized outcome weighted subgroup identification for differential treatment effects
by Yaoyao Xu & Menggang Yu & Ying‐Qi Zhao & Quefeng Li & Sijian Wang & Jun Shao - 654-665 Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models
by Chi Wang & Francesca Dominici & Giovanni Parmigiani & Corwin Matthew Zigler - 666-676 Estimation of covariate‐specific time‐dependent ROC curves in the presence of missing biomarkers
by Shanshan Li & Yang Ning - 677-686 Additive gamma frailty models with applications to competing risks in related individuals
by Frank Eriksson & Thomas Scheike - 687-695 The proportional odds cumulative incidence model for competing risks
by Frank Eriksson & Jianing Li & Thomas Scheike & Mei‐Jie Zhang - 696-703 Using cumulative sums of martingale residuals for model checking in nested case‐control studies
by Ørnulf Borgan & Ying Zhang - 704-713 The direct integral method for confidence intervals for the ratio of two location parameters
by Yanqing Wang & Suojin Wang & Raymond J. Carroll - 714-720 Adjusting for population shifts and covariates in space–time interaction tests
by Carl P. Schmertmann - 721-730 Mixture regression models for closed population capture–recapture data
by Fodé Tounkara & Louis‐Paul Rivest - 731-740 The group exponential lasso for bi‐level variable selection
by Patrick Breheny - 741-750 Multiple testing for neuroimaging via hidden Markov random field
by Hai Shu & Bin Nan & Robert Koeppe - 751-759 Bayesian hierarchical regression on clearance rates in the presence of “lag” and “tail” phases with an application to malaria parasites
by Colin B. Fogarty & Michael P. Fay & Jennifer A. Flegg & Kasia Stepniewska & Rick M. Fairhurst & Dylan S. Small - 760-771 Bayesian path specific frailty models for multi‐state survival data with applications
by Mário de Castro & Ming‐Hui Chen & Yuanye Zhang - 772-781 Nonparametric discrete survival function estimation with uncertain endpoints using an internal validation subsample
by Jarcy Zee & Sharon X. Xie - 782-791 Penalized regression for interval‐censored times of disease progression: Selection of HLA markers in psoriatic arthritis
by Ying Wu & Richard J. Cook - 792-802 Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging
by Yuan Wang & Brian P. Hobbs & Jianhua Hu & Chaan S. Ng & Kim‐Anh Do - 803-811 A Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutants
by Alberto Cassese & Michele Guindani & Philipp Antczak & Francesco Falciani & Marina Vannucci - 812-820 Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies
by Wen‐Yu Hua & Debashis Ghosh - 821-831 Multivariate longitudinal data analysis with mixed effects hidden Markov models
by Jesse D. Raffa & Joel A. Dubin - 832-840 Testing for independence in J×K contingency tables with complex sample survey data
by Stuart R. Lipsitz & Garrett M. Fitzmaurice & Debajyoti Sinha & Nathanael Hevelone & Edward Giovannucci & Jim C. Hu - 841-850 Statistical monitoring of the hand, foot and mouth disease in China
by Jingnan Zhang & Yicheng Kang & Yang Yang & Peihua Qiu - 851-858 Continuous versus group sequential analysis for post‐market drug and vaccine safety surveillance
by I. R. Silva & M. Kulldorff - 859-563 A note on the empirical likelihood confidence band for hazards ratio with covariate adjustment
by Shihong Zhu & Yifan Yang & Mai Zhou - 859-563 Rejoinder to “A note on the empirical likelihood confidence band for hazards ratio with covariate adjustment”
by Bin Dong & David Matthews - 864-865 Bayesian networks with examples in R
by Taeryon Choi - 864-865 Ding‐Geng Chen, and Karl E. Peace, Applied meta‐analysis with R. CRC Press
by Mira Park
June 2015, Volume 71, Issue 2
- 279-288 On Bayesian estimation of marginal structural models
by Olli Saarela & David A. Stephens & Erica E. M. Moodie & Marina B. Klein - 288-291 Discussion of “On Bayesian Estimation of Marginal Structural Models”
by Michael R. Elliott & Roderick J. Little - 291-293 Discussion of “On Bayesian Estimation of Marginal Structural Models”
by Paul Gustafson - 293-296 Discussion of “On Bayesian Estimation of Marginal Structural Models”
by Alessandra Mattei & Fabrizia Mealli - 296-299 Discussion of “On Bayesian estimation of marginal structural models”
by James M. Robins & Miguel A. Hernán & Larry Wasserman - 299-301 Rejoinder “On Bayesian estimation of marginal structural models”
by Olli Saarela & David A. Stephens & Erica E. M. Moodie & Marina B. Klein - 302-312 Causal estimation using semiparametric transformation models under prevalent sampling
by Yu-Jen Cheng & Mei-Cheng Wang - 313-322 Spatial extended hazard model with application to prostate cancer survival
by Li Li & Timothy Hanson & Jiajia Zhang - 323-332 R-vine models for spatial time series with an application to daily mean temperature
by Tobias Michael Erhardt & Claudia Czado & Ulf Schepsmeier - 333-343 Classification of longitudinal data through a semiparametric mixed-effects model based on lasso-type estimators
by Ana Arribas-Gil & Rolando De la Cruz & Emilie Lebarbier & Cristian Meza - 344-353 Generalized multilevel function-on-scalar regression and principal component analysis
by Jeff Goldsmith & Vadim Zipunnikov & Jennifer Schrack - 354-363 Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure
by Yanming Li & Bin Nan & Ji Zhu - 364-375 Nonparametric estimation of transition probabilities in the non-Markov illness-death model: A comparative study
by Jacobo de Uña-Álvarez & Luís Meira-Machado - 376-385 An attraction–repulsion point process model for respiratory syncytial virus infections
by Joshua Goldstein & Murali Haran & Ivan Simeonov & John Fricks & Francesca Chiaromonte - 386-396 Incorporating founder virus information in vaccine field trials
by Dean Follmann & Chiung-Yu Huang - 397-403 Identification of homogeneous and heterogeneous variables in pooled cohort studies
by Xin Cheng & Wenbin Lu & Mengling Liu - 404-416 Generalized t-statistic for two-group classification
by Osamu Komori & Shinto Eguchi & John B. Copas - 417-427 Testing effect of a drug using multiple nested models for the dose–response
by C. Baayen & P. Hougaard & C. B. Pipper - 428-438 miRNA–target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer
by Thierry Chekouo & Francesco C. Stingo & James D. Doecke & Kim-Anh Do - 439-449 A direct method to evaluate the time-dependent predictive accuracy for biomarkers
by Weining Shen & Jing Ning & Ying Yuan - 450-459 Sequential multiple assignment randomized trial (SMART) with adaptive randomization for quality improvement in depression treatment program
by Ying Kuen Cheung & Bibhas Chakraborty & Karina W. Davidson - 460-468 Improving efficiency in clinical trials using auxiliary information: Application of a multi-state cure model
by A. S. C. Conlon & J. M. G. Taylor & D. J. Sargent - 469-477 Longitudinal clinical trials with adaptive choice of follow-up time
by Neal Jeffries & Nancy L. Geller - 478-486 Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records
by Benjamin A. Goldstein & Themistocles Assimes & Wolfgang C. Winkelmayer & Trevor Hastie - 487-497 Joint modeling of cross-sectional health outcomes and longitudinal predictors via mixtures of means and variances
by Bei Jiang & Michael R. Elliott & Mary D. Sammel & Naisyin Wang - 498-507 Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure
by Margarita Moreno-Betancur & Grégoire Rey & Aurélien Latouche - 508-519 Multilevel quantile function modeling with application to birth outcomes
by Luke B. Smith & Brian J. Reich & Amy H. Herring & Peter H. Langlois & Montserrat Fuentes - 520-528 Nonparametric inference in hidden Markov models using P-splines
by Roland Langrock & Thomas Kneib & Alexander Sohn & Stacy L. DeRuiter - 529-537 A penalized likelihood approach for investigating gene–drug interactions in pharmacogenetic studies
by Megan L. Neely & Howard D. Bondell & Jung-Ying Tzeng - 538-547 A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard
by Yulun Liu & Yong Chen & Haitao Chu - 548-555 Confidence intervals for intraclass correlation coefficients in a nonlinear dose–response meta-analysis
by Nino Demetrashvili & Edwin R. Van den Heuvel - 556-557 Reader reaction on the generalized Kruskal–Wallis test for genetic association studies incorporating group uncertainty
by Baolin Wu & Weihua Guan - 558-559 Clinical trials with missing data
by Juwon Song - 559-560 Carpenter , J. R. , and Kenward , M. G. Multiple Imputation and its Application . Wiley , Hoboken, New Jersey
by Sohee Park - 560-561 JEONG , J.-H. Statistical Inference on Residual Life . Springer , New York
by Seungyeoun Lee
March 2015, Volume 71, Issue 1
- 1-14 Causal mediation analysis with multiple mediators
by R. M. Daniel & B. L. De Stavola & S. N. Cousens & S. Vansteelandt - 15-24 On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints
by Ariel Alonso & Wim Van der Elst & Geert Molenberghs & Marc Buyse & Tomasz Burzykowski - 25-32 Estimation of treatment effects in all-comers randomized clinical trials with a predictive marker
by Yuki Choai & Shigeyuki Matsui - 33-41 Minimum clinically important difference in medical studies
by A. S. Hedayat & Junhui Wang & Tu Xu - 42-52 Case-base methods for studying vaccination safety
by Olli Saarela & James A. Hanley - 53-62 Group variable selection via convex log-exp-sum penalty with application to a breast cancer survivor study
by Zhigeng Geng & Sijian Wang & Menggang Yu & Patrick O. Monahan & Victoria Champion & Grace Wahba - 63-70 Sparse kernel machine regression for ordinal outcomes
by Yuanyuan Shen & Katherine P. Liao & Tianxi Cai - 71-79 Regression analysis of mixed recurrent-event and panel-count data with additive rate models
by Liang Zhu & Hui Zhao & Jianguo Sun & Wendy Leisenring & Leslie L. Robison - 80-89 A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates
by Francesco Bartolucci & Alessio Farcomeni - 90-101 A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data
by Jane M. Lange & Rebecca A. Hubbard & Lurdes Y. T. Inoue & Vladimir N. Minin - 102-113 Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks
by Paul Blanche & Cécile Proust-Lima & Lucie Loubère & Claudine Berr & Jean-François Dartigues & Hélène Jacqmin-Gadda - 114-121 Disease risk estimation by combining case–control data with aggregated information on the population at risk
by Xiaohui Chang & Rasmus Waagepetersen & Herbert Yu & Xiaomei Ma & Theodore R. Holford & Rong Wang & Yongtao Guan - 122-130 Instrumental variable additive hazards models
by Jialiang Li & Jason Fine & Alan Brookhart - 131-138 On the selection of ordinary differential equation models with application to predator-prey dynamical models
by Xinyu Zhang & Jiguo Cao & Raymond J. Carroll - 139-145 An alternative approach to confidence interval estimation for the win ratio statistic
by Xiaodong Luo & Hong Tian & Surya Mohanty & Wei Yann Tsai - 146-156 Combining one-sample confidence procedures for inference in the two-sample case
by Michael P. Fay & Michael A. Proschan & Erica Brittain - 157-166 Testing the mean matrix in high-dimensional transposable data
by Anestis Touloumis & Simon Tavaré & John C. Marioni - 167-177 Spatial variable selection methods for investigating acute health effects of fine particulate matter components
by Laura F. Boehm Vock & Brian J. Reich & Montserrat Fuentes & Francesca Dominici - 178-187 Simultaneous variable selection for joint models of longitudinal and survival outcomes
by Zangdong He & Wanzhu Tu & Sijian Wang & Haoda Fu & Zhangsheng Yu - 188-197 Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome
by Rebecca Graziani & Michele Guindani & Peter F. Thall - 198-207 Model choice problems using approximate Bayesian computation with applications to pathogen transmission data sets
by Xing Ju Lee & Christopher C. Drovandi & Anthony N. Pettitt - 208-217 A Bayesian approach to estimate the biomass of anchovies off the coast of Perú
by Zaida C. Quiroz & Marcos O. Prates & Håvard Rue - 218-226 Bayesian designs and the control of frequentist characteristics: A practical solution
by Steffen Ventz & Lorenzo Trippa - 227-236 On the analysis of hybrid designs that combine group- and individual-level data
by E. Smoot & S. Haneuse - 237-246 Computational aspects of N-mixture models
by Emily B. Dennis & Byron J.T. Morgan & Martin S. Ridout - 247-257 Structured functional principal component analysis
by Haochang Shou & Vadim Zipunnikov & Ciprian M. Crainiceanu & Sonja Greven - 258-266 Estimating the size of populations at high risk for HIV using respondent-driven sampling data
by Mark S. Handcock & Krista J. Gile & Corinne M. Mar - 267-273 Reader reaction to “A robust method for estimating optimal treatment regimes” by Zhang et al. (2012)
by Jeremy M. G. Taylor & Wenting Cheng & Jared C. Foster - 274-277 Randomized response-adaptive designs in clinical trials
by Seung-Ho Kang - 274-277 Banerjee , S. Carlin , B. P. , and Gelfand , A. E. Hierarchical Modeling and Analysis for Spatial Data. Second Edition . CRC Press/Chapman & Hall . Monographs on Statistics and Applied Probability 135, Boca Raton, Florida , 2015 . 562 pp. $ 99.95 . ISBN-13: 978-1-4398-1917-3 (Hardcover)
by Maria Dolores Ugarte
December 2014, Volume 70, Issue 4
- 775-782 Closed-population capture–recapture modeling of samples drawn one at a time
by Richard J. Barker & Matthew R. Schofield & Janine A. Wright & Alain C. Frantz & Chris Stevens - 783-793 Unimodal regression using Bernstein–Schoenberg splines and penalties
by Claudia Köllmann & Björn Bornkamp & Katja Ickstadt - 794-801 Linear mixed function-on-function regression models
by Wei Wang - 802-811 Hierarchical functional data with mixed continuous and binary measurements
by Haocheng Li & John Staudenmayer & Raymond J. Carroll - 812-822 Identifying functional co-activation patterns in neuroimaging studies via poisson graphical models
by Wenqiong Xue & Jian Kang & F. DuBois Bowman & Tor D. Wager & Jian Guo - 823-834 Bayesian semiparametric regression in the presence of conditionally heteroscedastic measurement and regression errors
by Abhra Sarkar & Bani K. Mallick & Raymond J. Carroll - 835-844 Covariate measurement error correction methods in mediation analysis with failure time data
by Shanshan Zhao & Ross L. Prentice - 845-851 Testing goodness-of-fit for the proportional hazards model based on nested case–control data
by Wenbin Lu & Mengling Liu & Yi-Hau Chen - 852-861 Confounder selection via penalized credible regions
by Ander Wilson & Brian J. Reich - 862-871 Score test variable screening
by Sihai Dave Zhao & Yi Li - 872-880 Meta-analysis based variable selection for gene expression data
by Quefeng Li & Sijian Wang & Chiang-Ching Huang & Menggang Yu & Jun Shao - 881-890 More powerful genetic association testing via a new statistical framework for integrative genomics
by Sihai D. Zhao & T. Tony Cai & Hongzhe Li - 891-901 Identifying optimal biomarker combinations for treatment selection via a robust kernel method
by Ying Huang & Youyi Fong - 902-909 Regression analysis of correlated ordinal data using orthogonalized residuals
by J. Perin & J. S. Preisser & C. Phillips & B. Qaqish - 910-919 Semiparametric estimation in generalized linear mixed models with auxiliary covariates: A pairwise likelihood approach
by Li Liu & Liming Xiang - 920-931 Robust inference in the negative binomial regression model with an application to falls data
by William H. Aeberhard & Eva Cantoni & Stephane Heritier - 932-942 A spectral method for spatial downscaling
by Brian J. Reich & Howard H. Chang & Kristen M. Foley - 943-953 A sparse ising model with covariates
by Jie Cheng & Elizaveta Levina & Pei Wang & Ji Zhu - 954-961 Rotation-based multiple testing in the multivariate linear model
by Aldo Solari & Livio Finos & Jelle J. Goeman - 962-971 Maximum likelihood estimation for model M t,α for capture–recapture data with misidentification
by R. T. R. Vale & R. M. Fewster & E. L. Carroll & N. J. Patenaude - 972-980 A one-step-ahead pseudo-DIC for comparison of Bayesian state-space models
by R. B. Millar & S. McKechnie - 981-992 A Bayesian nonparametric model for spatially distributed multivariate binary data with application to a multidrug-resistant tuberculosis (MDR-TB) study
by Jian Kang & Nanhua Zhang & Ran Shi - 993-1002 Bayesian nowcasting during the STEC O104:H4 outbreak in Germany, 2011
by Michael Höhle & Matthias an der Heiden - 1003-1013 Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome
by Ming-Hui Chen & Joseph G. Ibrahim & Donglin Zeng & Kuolung Hu & Catherine Jia - 1014-1022 Estimation of treatment effects in matched-pair cluster randomized trials by calibrating covariate imbalance between clusters
by Zhenke Wu & Constantine E. Frangakis & Thomas A. Louis & Daniel O. Scharfstein - 1023-1032 Robust meta-analytic-predictive priors in clinical trials with historical control information
by Heinz Schmidli & Sandro Gsteiger & Satrajit Roychoudhury & Anthony O'Hagan & David Spiegelhalter & Beat Neuenschwander - 1033-1041 Power calculation for comparing diagnostic accuracies in a multi-reader, multi-test design
by Eunhee Kim & Zheng Zhang & Youdan Wang & Donglin Zeng - 1042-1051 A serial risk score approach to disease classification that accounts for accuracy and cost
by Dat Huynh & Oliver Laeyendecker & Ron Brookmeyer - 1052-1060 Modeling longitudinal data with a random change point and no time-zero: Applications to inference and prediction of the labor curve
by Alexander C. McLain & Paul S. Albert - 1063-1063 CHEN, JEHUA. Statistical Methods for QTL Mapping . Chapman and Hall/CRC, Boca Raton, FL
by Yun Joo Yoo
September 2014, Volume 70, Issue 3
- 471-479 Modeling and testing for joint association using a genetic random field model
by Zihuai He & Min Zhang & Xiaowei Zhan & Qing Lu - 480-488 Integrative analysis of prognosis data on multiple cancer subtypes
by Jin Liu & Jian Huang & Yawei Zhang & Qing Lan & Nathaniel Rothman & Tongzhang Zheng & Shuangge Ma - 489-499 Evaluating marker-guided treatment selection strategies
by Roland A. Matsouaka & Junlong Li & Tianxi Cai - 500-505 Bounds on causal interactions for binary outcomes
by A. Sjölander & W. Lee & H. Källberg & Y. Pawitan - 506-515 Estimating peer effects in longitudinal dyadic data using instrumental variables
by A. James O'Malley & Felix Elwert & J. Niels Rosenquist & Alan M. Zaslavsky & Nicholas A. Christakis - 516-525 Optimally weighted L-super-2 distance for functional data
by Huaihou Chen & Philip T. Reiss & Thaddeus Tarpey - 526-535 Warped functional analysis of variance
by Daniel Gervini & Patrick A. Carter - 536-545 A statistical approach to set classification by feature selection with applications to classification of histopathology images
by Sungkyu Jung & Xingye Qiao - 546-555 Probability-enhanced sufficient dimension reduction for binary classification
by Seung Jun Shin & Yichao Wu & Hao Helen Zhang & Yufeng Liu - 556-567 An evaluation of inferential procedures for adaptive clinical trial designs with pre-specified rules for modifying the sample size
by Gregory P. Levin & Sarah C. Emerson & Scott S. Emerson - 568-578 A pathway EM-algorithm for estimating vaccine efficacy with a non-monotone validation set
by Yang Yang & M. Elizabeth Halloran & Yanjun Chen & Eben Kenah - 579-587 Accelerated intensity frailty model for recurrent events data
by Bo Liu & Wenbin Lu & Jiajia Zhang - 588-598 Maximum likelihood estimation of semiparametric mixture component models for competing risks data
by Sangbum Choi & Xuelin Huang - 599-607 Semiparametric transformation models for semicompeting survival data
by Huazhen Lin & Ling Zhou & Chunhong Li & Yi Li - 608-618 Combined estimating equation approaches for semiparametric transformation models with length-biased survival data
by Yu-Jen Cheng & Chiung-Yu Huang - 619-628 Hypothesis testing for an extended cox model with time-varying coefficients
by Takumi Saegusa & Chongzhi Di & Ying Qing Chen - 629-638 Individual prediction regions for multivariate longitudinal data with small samples
by D. Concordet & R. Servien - 639-647 Parametric bootstrap methods for testing multiplicative terms in GGE and AMMI models
by Johannes Forkman & Hans-Peter Piepho - 648-660 A pseudo-penalized quasi-likelihood approach to the spatial misalignment problem with non-normal data
by Kenneth K. Lopiano & Linda J. Young & Carol A. Gotway - 661-670 Efficient pairwise composite likelihood estimation for spatial-clustered data
by Yun Bai & Jian Kang & Peter X.-K. Song - 671-682 An improved nonparametric lower bound of species richness via a modified good–turing frequency formula
by Chun-Huo Chiu & Yi-Ting Wang & Bruno A. Walther & Anne Chao - 683-694 Bayesian estimation of the phylogeography of African gorillas with genome-differentiated population trees
by Joungyoun Kim & Bret Larget - 695-707 Combining biomarkers to optimize patient treatment recommendations
by Chaeryon Kang & Holly Janes & Ying Huang - 707-710 Discussion of “Combining biomarkers to optimize patient treatment recommendation”
by Eric B. Laber & Anastasios A. Tsiatis & Marie Davidian & Shannon T. Holloway - 710-713 Discussion
by Lu Tian - 713-716 Discussion of combining biomarkers to optimize patient treatment recommendations
by Ying-Qi Zhao & Michael R. Kosorok - 716-719 Discussion of “Combining biomarkers to optimize patient treatment recommendations” by Chaeryon Kang, Holly Janes, and Ying Huang
by Menggang Yu & Quefeng Li - 719-720 Rejoinder: Combining biomarkers to optimize patient treatment recommendations
by Chaeryon Kang & Holly Janes & Ying Huang - 721-730 Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood
by Masataka Taguri & Yutaka Matsuyama & Yasuo Ohashi