Content
January 2020, Volume 69, Issue 1
- 25-46 Longitudinal dynamic functional regression
by Ana‐Maria Staicu & Md Nazmul Islam & Raluca Dumitru & Eric van Heugten - 47-67 Zoom‐in–out joint graphical lasso for different coarseness scales
by Eugen Pircalabelu & Gerda Claeskens & Lourens J. Waldorp - 69-88 Selecting biomarkers for building optimal treatment selection rules by using kernel machines
by Sayan Dasgupta & Ying Huang - 89-107 Estimating the probability of default for no‐default and low‐default portfolios
by Oliver Blümke - 109-130 Bayesian modelling of marked point processes with incomplete records: volcanic eruptions
by Ting Wang & Matthew Schofield & Mark Bebbington & Koji Kiyosugi - 131-150 A full Bayesian implementation of a generalized partial credit model with an application to an international disability survey
by Sujit K. Sahu & Mark R. Bass & Carla Sabariego & Alarcos Cieza & Carolina S. Fellinghauer & Somnath Chatterji - 151-166 A time‐varying Bayesian joint hierarchical copula model for analysing recurrent events and a terminal event: an application to the Cardiovascular Health Study
by Zheng Li & Vernon M. Chinchilli & Ming Wang - 167-193 Inference for biomedical data by using diffusion models with covariates and mixed effects
by Mareile Große Ruse & Adeline Samson & Susanne Ditlevsen - 195-218 Modelling and prediction of financial trading networks: an application to the New York Mercantile Exchange natural gas futures market
by Brenda Betancourt & Abel Rodríguez & Naomi Boyd
November 2019, Volume 68, Issue 5
- 1207-1232 Are actuarial crop insurance rates fair?: an analysis using a penalized bivariate B‐spline method
by Michael J. Price & Cindy L. Yu & David A. Hennessy & Xiaodong Du - 1233-1257 Multi‐dimensional penalized hazard model with continuous covariates: applications for studying trends and social inequalities in cancer survival
by Mathieu Fauvernier & Laurent Roche & Zoé Uhry & Laure Tron & Nadine Bossard & Laurent Remontet & and the Challenges in the Estimation of Net Survival Working Survival Group - 1259-1280 State space models for non‐stationary intermittently coupled systems: an application to the North Atlantic oscillation
by Philip G. Sansom & Daniel B. Williamson & David B. Stephenson - 1281-1303 Estimating finite mixtures of semi‐Markov chains: an application to the segmentation of temporal sensory data
by Hervé Cardot & Guillaume Lecuelle & Pascal Schlich & Michel Visalli - 1305-1326 Bayesian variable selection using spike‐and‐slab priors with application to high dimensional electroencephalography data by local modelling
by Shariq Mohammed & Dipak K. Dey & Yuping Zhang - 1327-1349 Analysing a quality‐of‐life survey by using a coclustering model for ordinal data and some dynamic implications
by Margot Selosse & Julien Jacques & Christophe Biernacki & Florence Cousson‐Gélie - 1351-1370 Forecasting causes of death by using compositional data analysis: the case of cancer deaths
by Søren Kjærgaard & Yunus Emre Ergemen & Malene Kallestrup‐Lamb & Jim Oeppen & Rune Lindahl‐Jacobsen - 1371-1391 Case‐only trees and random forests for exploring genotype‐specific treatment effects in randomized clinical trials with dichotomous end points
by James Y. Dai & Michael LeBlanc - 1393-1410 Bayesian uncertainty‐directed dose finding designs
by I. Domenicano & S. Ventz & M. Cellamare & R. H. Mak & L. Trippa - 1411-1429 Reduced bias for respondent‐driven sampling: accounting for non‐uniform edge sampling probabilities in people who inject drugs in Mauritius
by Miles Q. Ott & Krista J. Gile & Matthew T. Harrison & Lisa G. Johnston & Joseph W. Hogan - 1431-1446 Ensemble prediction of time‐to‐event outcomes with competing risks: a case‐study of surgical complications in Crohn's disease
by Michael C. Sachs & Andrea Discacciati & Åsa H. Everhov & Ola Olén & Erin E. Gabriel - 1447-1463 Subgroup analysis of treatment effects for misclassified biomarkers with time‐to‐event data
by Fang Wan & Andrew C. Titman & Thomas F. Jaki - 1465-1483 Indices of non‐ignorable selection bias for proportions estimated from non‐probability samples
by Rebecca R. Andridge & Brady T. West & Roderick J. A. Little & Philip S. Boonstra & Fernanda Alvarado‐Leiton - 1485-1507 Prediction with high dimensional regression via hierarchically structured Gaussian mixtures and latent variables
by Chun‐Chen Tu & Florence Forbes & Benjamin Lemasson & Naisyin Wang - 1509-1528 A time varying approach to the stock return–inflation puzzle
by Xiaoye Li & Zhibiao Zhao - 1529-1553 A hidden semi‐Markov model for characterizing regime shifts in ocean density variability
by Theodoros Economou & Matthew B. Menary - 1555-1576 Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation
by Vinny Davies & Umberto Noè & Alan Lazarus & Hao Gao & Benn Macdonald & Colin Berry & Xiaoyu Luo & Dirk Husmeier - 1577-1595 Integration of survival and binary data for variable selection and prediction: a Bayesian approach
by Arnab Kumar Maity & Raymond J. Carroll & Bani K. Mallick
August 2019, Volume 68, Issue 4
- 831-858 Modelling extreme rain accumulation with an application to the 2011 Lake Champlain flood
by Jonathan Jalbert & Orla A. Murphy & Christian Genest & Johanna G. Nešlehová - 859-885 Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model
by Vinny Davies & William T. Harvey & Richard Reeve & Dirk Husmeier - 887-913 Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study
by Umberto Picchini & Julie Lyng Forman - 915-939 Comparing Kaplan–Meier curves with delayed treatment effects: applications in immunotherapy trials
by Philippe Flandre & John O’Quigley - 941-962 Data integrative Bayesian inference for mixtures of regression models
by Mehran Aflakparast & Mathisca de Gunst - 963-983 Markov switching integer‐valued generalized auto‐regressive conditional heteroscedastic models for dengue counts
by Cathy W. S. Chen & Khemmanant Khamthong & Sangyeol Lee - 985-1005 An instrumental variable procedure for estimating Cox models with non‐proportional hazards in the presence of unmeasured confounding
by Pablo Martínez‐Camblor & Todd A. MacKenzie & Douglas O. Staiger & Phillip P. Goodney & A. James O’Malley - 1007-1027 Detecting anisotropy in fingerprint growth
by Karla Markert & Karolin Krehl & Carsten Gottschlich & Stephan Huckemann - 1029-1049 The mean, variance and correlation for bivariate recurrent event data with a terminal event
by Thomas H. Scheike & Frank Eriksson & Siri Tribler - 1051-1070 Testing critical points of non‐parametric regression curves: application to the management of stalked barnacles
by Marta Sestelo & Javier Roca‐Pardiñas - 1071-1089 Additive quantile regression for clustered data with an application to children's physical activity
by Marco Geraci - 1091-1109 Non‐parametric Bayes models for mixed scale longitudinal surveys
by Tsuyoshi Kunihama & Carolyn T. Halpern & Amy H. Herring - 1111-1130 Non‐parametric overdose control for dose finding in drug combination trials
by Chi Kin Lam & Ruitao Lin & Guosheng Yin - 1131-1147 Estimation of the Von Bertalanffy growth model when ages are measured with error
by Rajib Dey & Noel Cadigan & Nan Zheng - 1149-1166 Health effects of sanitation facilities: a Bayesian semiparametric analysis of compositional data
by Samuel I. Watson & Jo Sartori & Olalekan Uthman & Richard J. Lilford - 1167-1182 Joint modelling of competing risks and current status data: an application to a spontaneous labour study
by Youjin Lee & Mei‐Cheng Wang & Katherine L. Grantz & Rajeshwari Sundaram - 1183-1204 A computationally efficient correlated mixed probit model for credit risk inference
by Elisa Tosetti & Veronica Vinciotti
April 2019, Volume 68, Issue 3
- 495-520 Functional clustering of accelerometer data via transformed input variables
by Yaeji Lim & Hee‐Seok Oh & Ying Kuen Cheung - 521-541 Bayesian analysis of functional magnetic resonance imaging data with spatially varying auto‐regressive orders
by Ming Teng & Farouk S. Nathoo & Timothy D. Johnson - 543-564 Careful prior specification avoids incautious inference for log‐Gaussian Cox point processes
by Sigrunn H. S⊘rbye & Janine B. Illian & Daniel P. Simpson & David Burslem & Håvard Rue - 565-583 Discrete Weibull generalized additive model: an application to count fertility data
by Alina Peluso & Veronica Vinciotti & Keming Yu - 585-602 Exploring patterns of demand in bike sharing systems via replicated point process models
by Daniel Gervini & Manoj Khanal - 603-621 Rectangular latent Markov models for time‐specific clustering, with an analysis of the wellbeing of nations
by Gordon Anderson & Alessio Farcomeni & Maria Grazia Pittau & Roberto Zelli - 623-640 Optimal design of experiments for non‐linear response surface models
by Yuanzhi Huang & Steven G. Gilmour & Kalliopi Mylona & Peter Goos - 641-655 Detecting weak dependence in computer network traffic patterns by using higher criticism
by Matthew Price‐Williams & Nick Heard & Patrick Rubin‐Delanchy - 657-681 Calibrating non‐probability surveys to estimated control totals using LASSO, with an application to political polling
by Jack Kuang Tsung Chen & Richard L. Valliant & Michael R. Elliott - 683-704 RNASeqDesign: a framework for ribonucleic acid sequencing genomewide power calculation and study design issues
by Chien‐Wei Lin & Serena G. Liao & Peng Liu & Mei‐Ling Ting Lee & Yong Seok Park & George C. Tseng - 705-725 PairClone: a Bayesian subclone caller based on mutation pairs
by Tianjian Zhou & Peter Müller & Subhajit Sengupta & Yuan Ji - 727-749 Ranking the importance of genetic factors by variable‐selection confidence sets
by Chao Zheng & Davide Ferrari & Michael Zhang & Paul Baird - 751-769 Topic modelling for medical prescription fraud and abuse detection
by Babak Zafari & Tahir Ekin - 771-791 Landmark linear transformation model for dynamic prediction with application to a longitudinal cohort study of chronic disease
by Yayuan Zhu & Liang Li & Xuelin Huang - 793-807 A new competing risks decomposition: application to the effect of cutting unemployment benefit on unemployment durations
by Donal O’Neill - 809-828 Bayesian non‐parametric survival regression for optimizing precision dosing of intravenous busulfan in allogeneic stem cell transplantation
by Yanxun Xu & Peter F. Thall & William Hua & Borje S. Andersson
February 2019, Volume 68, Issue 2
- 267-269 Preface to the themed issue on ‘Early phase clinical trial design methodology’
by Nolan A. Wages & Ying Yuan - 271-288 Semiparametric dose finding methods: special cases
by M. Clertant & J. O’Quigley - 289-308 gBOIN: a unified model‐assisted phase I trial design accounting for toxicity grades, and binary or continuous end points
by Rongji Mu & Ying Yuan & Jin Xu & Sumithra J. Mandrekar & Jun Yin - 309-329 A Bayesian model‐free approach to combination therapy phase I trials using censored time‐to‐toxicity data
by Graham M. Wheeler & Michael J. Sweeting & Adrian P. Mander - 331-345 Phase I–II trial design for biologic agents using conditional auto‐regressive models for toxicity and efficacy
by Daniel G. Muenz & Jeremy M. G. Taylor & Thomas M. Braun - 347-367 An information theoretic phase I–II design for molecularly targeted agents that does not require an assumption of monotonicity
by Pavel Mozgunov & Thomas Jaki - 369-384 Joint modelling of a binary and a continuous outcome measured at two cycles to determine the optimal dose
by Monia Ezzalfani & Tomasz Burzykowski & Xavier Paoletti - 385-410 AAA: triple adaptive Bayesian designs for the identification of optimal dose combinations in dual‐agent dose finding trials
by Jiaying Lyu & Yuan Ji & Naiqing Zhao & Daniel V. T. Catenacci - 411-425 A utility‐based Bayesian phase I–II design for immunotherapy trials with progression‐free survival end point
by Beibei Guo & Yeonhee Park & Suyu Liu - 427-444 A dose finding design for seizure reduction in neonates
by Moreno Ursino & Ying Yuan & Corinne Alberti & Emmanuelle Comets & Geraldine Favrais & Tim Friede & Frederike Lentz & Nigel Stallard & Sarah Zohar - 445-460 Dose individualization and variable selection by using the Bayesian lasso in early phase dose finding trials
by Yasuyuki Kakurai & Shuhei Kaneko & Chikuma Hamada & Akihiro Hirakawa - 461-474 Optimizing natural killer cell doses for heterogeneous cancer patients on the basis of multiple event times
by Juhee Lee & Peter F. Thall & Katy Rezvani - 475-491 Treatment and dose prioritization in early phase platform trials of targeted cancer therapies
by Yimei Li & Ming Wang & Ying Kuen Cheung
January 2019, Volume 68, Issue 1
- 3-28 Dirichlet process mixtures of order statistics with applications to retail analytics
by James Pitkin & Gordon Ross & Ioanna Manolopoulou - 29-49 Projecting UK mortality by using Bayesian generalized additive models
by Jason Hilton & Erengul Dodd & Jonathan J. Forster & Peter W. F. Smith - 51-78 Computer model calibration with large non‐stationary spatial outputs: application to the calibration of a climate model
by Kai‐Lan Chang & Serge Guillas - 79-97 Distributed lag interaction models with two pollutants
by Yin‐Hsiu Chen & Bhramar Mukherjee & Veronica J. Berrocal - 99-120 Spatial cluster detection in mobility networks: a copula approach
by Heeyoung Kim & Rong Duan & Sungil Kim & Jaehwan Lee & Guang‐Qin Ma - 121-139 Informing a risk prediction model for binary outcomes with external coefficient information
by Wenting Cheng & Jeremy M. G. Taylor & Tian Gu & Scott A. Tomlins & Bhramar Mukherjee - 141-160 Detecting epistatic selection with partially observed genotype data by using copula graphical models
by Pariya Behrouzi & Ernst C. Wit - 161-179 On the ranking of test match batsmen
by Richard J. Boys & Peter M. Philipson - 181-198 Methods for preferential sampling in geostatistics
by Daniel Dinsdale & Matias Salibian‐Barrera - 199-215 Multivariate posterior inference for spatial models with the integrated nested Laplace approximation
by Virgilio Gómez‐Rubio & Francisco Palmí‐Perales - 217-234 Bayesian log‐Gaussian Cox process regression: applications to meta‐analysis of neuroimaging working memory studies
by Pantelis Samartsidis & Claudia R. Eickhoff & Simon B. Eickhoff & Tor D. Wager & Lisa Feldman Barrett & Shir Atzil & Timothy D. Johnson & Thomas E. Nichols - 235-250 Two‐stage design for phase I–II cancer clinical trials using continuous dose combinations of cytotoxic agents
by Mourad Tighiouart - 251-264 Temporal trends of biomarkers and between‐biomarker associations
by Zonghui Hu
November 2018, Volume 67, Issue 5
- 1103-1145 The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages
by Davide Pigoli & Pantelis Z. Hadjipantelis & John S. Coleman & John A. D. Aston - 1147-1176 Simultaneous inference for misaligned multivariate functional data
by Niels Lundtorp Olsen & Bo Markussen & Lars Lau Raket - 1177-1205 The role of secondary outcomes in multivariate meta‐analysis
by John B. Copas & Dan Jackson & Ian R. White & Richard D. Riley - 1207-1236 Peptide refinement by using a stochastic search
by Nicole H. Lewis & David B. Hitchcock & Ian L. Dryden & John R. Rose - 1237-1273 Detecting multivariate interactions in spatial point patterns with Gibbs models and variable selection
by T. Rajala & D. J. Murrell & S. C. Olhede - 1275-1304 Unravelling the predictive power of telematics data in car insurance pricing
by Roel Verbelen & Katrien Antonio & Gerda Claeskens - 1305-1329 Self‐exciting point processes with spatial covariates: modelling the dynamics of crime
by Alex Reinhart & Joel Greenhouse - 1331-1356 Constructing treatment decision rules based on scalar and functional predictors when moderators of treatment effect are unknown
by Adam Ciarleglio & Eva Petkova & Todd Ogden & Thaddeus Tarpey - 1357-1378 Radiologic image‐based statistical shape analysis of brain tumours
by Karthik Bharath & Sebastian Kurtek & Arvind Rao & Veerabhadran Baladandayuthapani - 1379-1398 Stratified space–time infectious disease modelling, with an application to hand, foot and mouth disease in China
by Cici Bauer & Jon Wakefield - 1399-1418 Multivariate latent variable transition models of longitudinal mixed data: an analysis on alcohol use disorder
by Silvia Cagnone & Cinzia Viroli - 1419-1436 Testing for pathway (in)activation by using Gaussian graphical models
by Wessel N. van Wieringen & Carel F. W. Peeters & Renee X. de Menezes & Mark A. van de Wiel - 1437-1450 A non‐linear model for censored and mismeasured time varying covariates in survival models, with applications in human immunodeficiency virus and acquired immune deficiency syndrome studies
by Hongbin Zhang & Lang Wu
August 2018, Volume 67, Issue 4
- 743-789 Optimal treatment allocations in space and time for on‐line control of an emerging infectious disease
by Eric B. Laber & Nick J. Meyer & Brian J. Reich & Krishna Pacifici & Jaime A. Collazo & John M. Drake - 791-812 Using artificial censoring to improve extreme tail quantile estimates
by Yang Liu & Matías Salibián‐Barrera & Ruben H. Zamar & James V. Zidek - 813-839 Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models
by Anna Bonnet & Céline Lévy‐Leduc & Elisabeth Gassiat & Roberto Toro & Thomas Bourgeron - 841-860 Correlated multistate models for multiple processes: an application to renal disease progression in systemic lupus erythematosus
by Aidan G. O’Keeffe & Li Su & Vernon T. Farewell - 861-879 Bayesian small area estimation for skewed business survey variables
by Enrico Fabrizi & Maria Rosaria Ferrante & Carlo Trivisano - 881-896 Non‐parametric Bayesian multivariate metaregression: an application in environmental epidemiology
by Gyuseok Sim & Ho Kim & Antonella Zanobetti & Joel Schwartz & Yeonseung Chung - 897-915 The functional latent block model for the co‐clustering of electricity consumption curves
by Charles Bouveyron & Laurent Bozzi & Julien Jacques & François‐Xavier Jollois - 917-938 Discovering treatment effect heterogeneity through post‐treatment variables with application to the effect of class size on mathematics scores
by Ashkan Ertefaie & Jesse Y. Hsu & Lindsay C. Page & Dylan S. Small - 939-959 Marginal logistic regression for spatially clustered binary data
by Manuela Cattelan & Cristiano Varin - 961-978 Functional principal components analysis on moving time windows of longitudinal data: dynamic prediction of times to event
by Fangrong Yan & Xiao Lin & Ruosha Li & Xuelin Huang - 979-1001 Simultaneous equation penalized likelihood estimation of vehicle accident injury severity
by Francesco Donat & Giampiero Marra - 1003-1022 Spatially varying auto‐regressive models for prediction of new human immunodeficiency virus diagnoses
by Lyndsay Shand & Bo Li & Trevor Park & Dolores Albarracín - 1023-1045 Estimating material properties under extreme conditions by using Bayesian model calibration with functional outputs
by J. L. Brown & L. B. Hund - 1047-1069 Power and commensurate priors for synthesizing aggregate and individual patient level data in network meta‐analysis
by Hwanhee Hong & Haoda Fu & Bradley P. Carlin - 1071-1081 Bayesian models for weighted data with missing values: a bootstrap approach
by Harvey Goldstein & James Carpenter & Michael G. Kenward - 1083-1100 Modelling correlated binary variables: an application to lower urinary tract symptoms
by William Barcella & Maria De Iorio & James Malone‐Lee
April 2018, Volume 67, Issue 3
- 523-548 Bayesian non‐parametric conditional copula estimation of twin data
by Luciana Dalla Valle & Fabrizio Leisen & Luca Rossini - 549-573 Combining sharp and smooth transitions in volatility dynamics: a fuzzy regime approach
by Giampiero M. Gallo & Edoardo Otranto - 575-598 Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach
by Monia Ranalli & Francesco Lagona & Marco Picone & Enrico Zambianchi - 599-619 Stochastic differential equation based on a multimodal potential to model movement data in ecology
by Pierre Gloaguen & Marie‐Pierre Etienne & Sylvain Le Corff - 621-642 Boosting factor‐specific functional historical models for the detection of synchronization in bioelectrical signals
by David Rügamer & Sarah Brockhaus & Kornelia Gentsch & Klaus Scherer & Sonja Greven - 643-664 Standardized drought indices: a novel univariate and multivariate approach
by Tobias M. Erhardt & Claudia Czado - 665-686 Signal regression models for location, scale and shape with an application to stock returns
by Sarah Brockhaus & Andreas Fuest & Andreas Mayr & Sonja Greven - 687-704 Modelling time varying heterogeneity in recurrent infection processes: an application to serological data
by Steven Abrams & Andreas Wienke & Niel Hens - 705-722 A spatiotemporal multispecies model of a semicontinuous response
by Charlotte M. Jones‐Todd & Ben Swallow & Janine B. Illian & Mike Toms - 723-740 BLAST: Bayesian latent subgroup design for basket trials accounting for patient heterogeneity
by Yiyi Chu & Ying Yuan
February 2018, Volume 67, Issue 2
- 307-327 Survival analysis with functions of mismeasured covariate histories: the case of chronic air pollution exposure in relation to mortality in the nurses’ health study
by Xiaomei Liao & Xin Zhou & Molin Wang & Jaime E. Hart & Francine Laden & Donna Spiegelman - 329-354 Analysis of spatial data with a nested correlation structure
by Oyelola A. Adegboye & Denis H. Y. Leung & You‐Gan Wang - 355-369 A penalized inference approach to stochastic block modelling of community structure in the Italian Parliament
by Mirko Signorelli & Ernst C. Wit - 371-394 Mediation analysis for count and zero‐inflated count data without sequential ignorability and its application in dental studies
by Zijian Guo & Dylan S. Small & Stuart A. Gansky & Jing Cheng - 395-416 Contextual ranking by passive safety of generational classes of light vehicles
by Z. Ouni & C. Denis & C. Chauvel & A. Chambaz - 417-434 Dynamic Bayesian network inferencing for non‐homogeneous complex systems
by Paul P.‐Y. Wu & M. Julian Caley & Gary A. Kendrick & Kathryn McMahon & Kerrie Mengersen - 435-452 Multiclass vector auto‐regressive models for multistore sales data
by Ines Wilms & Luca Barbaglia & Christophe Croux - 453-480 Generalized additive models with principal component analysis: an application to time series of respiratory disease and air pollution data
by Juliana B. de Souza & Valdério A. Reisen & Glaura C. Franco & Márton Ispány & Pascal Bondon & Jane Meri Santos - 481-500 Clustered multistate models with observation level random effects, mover–stayer effects and dynamic covariates: modelling transition intensities and sojourn times in a study of psoriatic arthritis
by Sean Yiu & Vernon T. Farewell & Brian D. M. Tom - 501-520 Estimating dynamic macroeconomic models: how informative are the data?
by Daniel O. Beltran & David Draper
January 2018, Volume 67, Issue 1
- 3-23 A Bayesian model selection approach for identifying differentially expressed transcripts from RNA sequencing data
by Panagiotis Papastamoulis & Magnus Rattray - 25-54 Bayesian model selection for the glacial–interglacial cycle
by Jake Carson & Michel Crucifix & Simon Preston & Richard D. Wilkinson - 55-81 Domain‐selective functional analysis of variance for supervised statistical profile monitoring of signal data
by Alessia Pini & Simone Vantini & Bianca Maria Colosimo & Marco Grasso - 83-102 Urban heat risk mapping using multiple point patterns in Houston, Texas
by Jacob W. Mortensen & Matthew J. Heaton & Olga V. Wilhelmi - 103-125 Estimating the treatment effect on the treated under time‐dependent confounding in an application to the Swiss HIV Cohort Study
by Jon Michael Gran & Rune Hoff & Kjetil Røysland & Bruno Ledergerber & James Young & Odd O. Aalen - 127-144 Bayesian mixed treatment comparisons meta‐analysis for correlated outcomes subject to reporting bias
by Yulun Liu & Stacia M. DeSantis & Yong Chen - 145-163 Accommodating informative dropout and death: a joint modelling approach for longitudinal and semicompeting risks data
by Qiuju Li & Li Su - 165-183 Bat echolocation call identification for biodiversity monitoring: a probabilistic approach
by Vassilios Stathopoulos & Veronica Zamora‐Gutierrez & Kate E. Jones & Mark Girolami - 185-200 Simultaneously modelling clustered marginal counts and multinomial proportions with zero inflation with application to analysis of osteoporotic fractures data
by M. Tariqul Hasan & Gary Sneddon & Renjun Ma - 201-215 Markov models for ocular fixation locations in the presence and absence of colour
by Adam B. Kashlak & Eoin Devane & Helge Dietert & Henry Jackson - 217-229 Fully general Chao and Zelterman estimators with application to a whale shark population
by Alessio Farcomeni - 231-253 Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution
by Gavin Shaddick & Matthew L. Thomas & Amelia Green & Michael Brauer & Aaron van Donkelaar & Rick Burnett & Howard H. Chang & Aaron Cohen & Rita Van Dingenen & Carlos Dora & Sophie Gumy & Yang Liu & Randall Martin & Lance A. Waller & Jason West & James V. Zidek & Annette Prüss‐Ustün - 255-273 Pattern–mixture models with incomplete informative cluster size: application to a repeated pregnancy study
by Ashok Chaurasia & Danping Liu & Paul S. Albert - 275-289 Simulation–extrapolation for bias correction with exposure uncertainty in radiation risk analysis utilizing grouped data
by Munechika Misumi & Kyoji Furukawa & John B. Cologne & Harry M. Cullings - 291-304 A multivariate space–time model for analysing county level heart disease death rates by race and sex
by Harrison Quick & Lance A. Waller & Michele Casper
November 2017, Volume 66, Issue 5
- 893-918 Modelling trends in digit preference patterns
by Carlo G. Camarda & Paul H. C. Eilers & Jutta Gampe - 919-939 A non-stationary spatial model for temperature interpolation applied to the state of Rio de Janeiro
by Marcelo Cunha & Dani Gamerman & Montserrat Fuentes & Marina Paez - 941-962 A spatiotemporal model for extreme precipitation simulated by a climate model, with an application to assessing changes in return levels over North America
by Jonathan Jalbert & Anne-Catherine Favre & Claude Bélisle & Jean-François Angers - 963-977 Improved detection of changes in species richness in high diversity microbial communities
by Amy Willis & John Bunge & Thea Whitman - 979-996 A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials
by Haitao Pan & Ying Yuan & Jielai Xia - 997-1013 The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models
by Arne Risa Hole & Hong Il Yoo - 1015-1030 Phase I designs that allow for uncertainty in the attribution of adverse events
by Alexia Iasonos & John O'Quigley - 1031-1047 Ecological grouping of survey sites when sampling artefacts are present
by Scott D. Foster & Nicole A. Hill & Mitchell Lyons - 1049-1064 Mechanism for missing data incorporated in joint modelling of ordinal responses
by Anna Ivanova & Geert Molenberghs & Geert Verbeke - 1065-1073 Detecting bias arising from delayed recording of time
by Bianca L. De Stavola & D. R. Cox - 1075-1090 Joint regression analysis of marginal quantile and quantile association: application to longitudinal body mass index in adolescents
by Chi-Chuan Yang & Yi-Hau Chen & Hsing-Yi Chang
August 2017, Volume 66, Issue 4
- 669-690 Exploring the existence of a stayer population with mover–stayer counting process models: application to joint damage in psoriatic arthritis
by Sean Yiu & Vernon T. Farewell & Brian D. M. Tom - 691-715 Hidden Markov modelling of sparse time series from non-volcanic tremor observations
by Ting Wang & Jiancang Zhuang & Kazushige Obara & Hiroshi Tsuruoka - 717-740 History matching of a complex epidemiological model of human immunodeficiency virus transmission by using variance emulation
by I. Andrianakis & I. Vernon & N. McCreesh & T. J. McKinley & J. E. Oakley & R. N. Nsubuga & M. Goldstein & R. G. White - 741-757 Causal mediation analysis for the Cox proportional hazards model with a smooth baseline hazard estimator
by Wei Wang & Jeffrey M. Albert - 759-776 Do debit cards decrease cash demand?: causal inference and sensitivity analysis using principal stratification
by Andrea Mercatanti & Fan Li - 777-795 Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change
by Legrand D. F. Saint-Cyr & Laurent Piet - 797-814 Bayesian causality test for integer-valued time series models with applications to climate and crime data
by Cathy W. S. Chen & Sangyeol Lee - 815-831 A new strategy for diagnostic model assessment in capture–recapture
by Rachel S. McCrea & Byron J. T. Morgan & Olivier Gimenez - 833-846 A second-order semiparametric method for survival analysis, with application to an acquired immune deficiency syndrome clinical trial study
by Fei Jiang & Yanyuan Ma & J. Jack Lee - 847-867 Biomarker detection and categorization in ribonucleic acid sequencing meta-analysis using Bayesian hierarchical models
by Tianzhou Ma & Faming Liang & George C. Tseng - 869-890 Statistical inference of the mechanisms driving collective cell movement
by Elaine A. Ferguson & Jason Matthiopoulos & Robert H. Insall & Dirk Husmeier
April 2017, Volume 66, Issue 3
- 451-453 Preface to the themed issue on ‘Statistical network science and its applications’
by Veronica Vinciotti & Ernst Wit - 455-480 Optimal design of experiments on connected units with application to social networks
by Ben M. Parker & Steven G. Gilmour & John Schormans - 481-500 Sharing social network data: differentially private estimation of exponential family random-graph models
by Vishesh Karwa & Pavel N. Krivitsky & Aleksandra B. Slavković - 501-519 Analysis of networks with missing data with application to the National Longitudinal Study of Adolescent Health
by Krista J. Gile & Mark S. Handcock - 521-536 Source estimation for propagation processes on complex networks with an application to delays in public transportation systems
by Juliane Manitz & Jonas Harbering & Marie Schmidt & Thomas Kneib & Anita Schöbel - 537-554 Implementing propensity score matching with network data: the effect of the General Agreement on Tariffs and Trade on bilateral trade
by Bruno Arpino & Luca De Benedictis & Alessandra Mattei - 555-580 Bayesian modelling of networks in complex business intelligence problems
by Daniele Durante & Sally Paganin & Bruno Scarpa & David B. Dunson - 581-605 A network analysis of the volatility of high dimensional financial series
by Matteo Barigozzi & Marc Hallin - 607-627 Estimating whole-brain dynamics by using spectral clustering
by Ivor Cribben & Yi Yu - 629-645 Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models
by Abdolreza Mohammadi & Fentaw Abegaz & Edwin Heuvel & Ernst C. Wit - 647-665 The networked partial correlation and its application to the analysis of genetic interactions
by Alberto Roverato & Robert Castelo
February 2017, Volume 66, Issue 2
- 227-252 Log-mean linear regression models for binary responses with an application to multimorbidity
by Monia Lupparelli & Alberto Roverato - 253-271 Binary auto-regressive geometric modelling in a DNA context
by Sónia Gouveia & Manuel G. Scotto & Christian H. Weiß & Paulo Jorge S. G. Ferreira - 273-294 Prediction of settlement delay in critical illness insurance claims by using the generalized beta of the second kind distribution
by Erengul Dodd & George Streftaris - 295-311 Simultaneous inference for multilevel linear mixed models—with an application to a large-scale school meal study
by Christian Ritz & Rikke Pilmann Laursen & Camilla Trab Damsgaard - 313-328 Linear regression with a randomly censored covariate: application to an Alzheimer's study
by Folefac D. Atem & Jing Qian & Jacqueline E. Maye & Keith A. Johnson & Rebecca A. Betensky - 329-344 An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes
by Stefano Castruccio & Joseph Guinness - 345-361 Subgroup selection in adaptive signature designs of confirmatory clinical trials
by Zhiwei Zhang & Meijuan Li & Min Lin & Guoxing Soon & Tom Greene & Changyu Shen - 363-386 Bayesian D-optimal choice designs for mixtures
by Aiste Ruseckaite & Peter Goos & Dennis Fok - 387-412 A Bayesian hidden Markov mixture model to detect overexpressed chromosome regions
by Vinícius Diniz Mayrink & Flávio Bambirra Gonçalves - 413-423 A multistate model for correlated interval-censored life history data in caries research
by Daewoo Pak & Chenxi Li & David Todem & Woosung Sohn - 425-448 Estimation of the population size by using the one-inflated positive Poisson model
by Ryan T. Godwin & Dankmar Böhning
January 2017, Volume 66, Issue 1
- 3-28 A novel principal component analysis for spatially misaligned multivariate air pollution data
by Roman A. Jandarov & Lianne A. Sheppard & Paul D. Sampson & Adam A. Szpiro - 29-51 Similarity-based semilocal estimation of post-processing models
by Sebastian Lerch & Sándor Baran - 53-72 Optimal designs for thermal spraying
by Holger Dette & Laura Hoyden & Sonja Kuhnt & Kirsten Schorning - 73-91 Design D-optimal event-related functional magnetic resonance imaging experiments
by Moein Saleh & Ming-Hung Kao & Rong Pan