Journal of the Royal Statistical Society Series C

1952 - 2022

Current editor(s): R. Chandler and P. W. F. Smith

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Volume 68, issue 5, 2019

Are actuarial crop insurance rates fair?: an analysis using a penalized bivariate B‐spline method pp. 1207-1232

Michael J. Price, Cindy L. Yu, David Hennessy and Xiaodong Du

Multi‐dimensional penalized hazard model with continuous covariates: applications for studying trends and social inequalities in cancer survival pp. 1233-1257

Mathieu Fauvernier, Laurent Roche, Zoé Uhry, Laure Tron, Nadine Bossard, Laurent Remontet and and the Challenges in the Estimation of Net Survival Working Survival Group

State space models for non‐stationary intermittently coupled systems: an application to the North Atlantic oscillation pp. 1259-1280

Philip G. Sansom, Daniel B. Williamson and David B. Stephenson

Estimating finite mixtures of semi‐Markov chains: an application to the segmentation of temporal sensory data pp. 1281-1303

Hervé Cardot, Guillaume Lecuelle, Pascal Schlich and Michel Visalli

Bayesian variable selection using spike‐and‐slab priors with application to high dimensional electroencephalography data by local modelling pp. 1305-1326

Shariq Mohammed, Dipak K. Dey and Yuping Zhang

Analysing a quality‐of‐life survey by using a coclustering model for ordinal data and some dynamic implications pp. 1327-1349

Margot Selosse, Julien Jacques, Christophe Biernacki and Florence Cousson‐Gélie

Forecasting causes of death by using compositional data analysis: the case of cancer deaths pp. 1351-1370

Søren Kjærgaard, Yunus Emre Ergemen, Malene Kallestrup‐Lamb, Jim Oeppen and Rune Lindahl‐Jacobsen

Case‐only trees and random forests for exploring genotype‐specific treatment effects in randomized clinical trials with dichotomous end points pp. 1371-1391

James Y. Dai and Michael LeBlanc

Bayesian uncertainty‐directed dose finding designs pp. 1393-1410

I. Domenicano, S. Ventz, M. Cellamare, R. H. Mak and L. Trippa

Reduced bias for respondent‐driven sampling: accounting for non‐uniform edge sampling probabilities in people who inject drugs in Mauritius pp. 1411-1429

Miles Q. Ott, Krista J. Gile, Matthew T. Harrison, Lisa G. Johnston and Joseph W. Hogan

Ensemble prediction of time‐to‐event outcomes with competing risks: a case‐study of surgical complications in Crohn's disease pp. 1431-1446

Michael C. Sachs, Andrea Discacciati, Åsa H. Everhov, Ola Olén and Erin E. Gabriel

Subgroup analysis of treatment effects for misclassified biomarkers with time‐to‐event data pp. 1447-1463

Fang Wan, Andrew C. Titman and Thomas F. Jaki

Indices of non‐ignorable selection bias for proportions estimated from non‐probability samples pp. 1465-1483

Rebecca R. Andridge, Brady T. West, Roderick J. A. Little, Philip S. Boonstra and Fernanda Alvarado‐Leiton

Prediction with high dimensional regression via hierarchically structured Gaussian mixtures and latent variables pp. 1485-1507

Chun‐Chen Tu, Florence Forbes, Benjamin Lemasson and Naisyin Wang

A time varying approach to the stock return–inflation puzzle pp. 1509-1528

Xiaoye Li and Zhibiao Zhao

A hidden semi‐Markov model for characterizing regime shifts in ocean density variability pp. 1529-1553

Theodoros Economou and Matthew B. Menary

Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation pp. 1555-1576

Vinny Davies, Umberto Noè, Alan Lazarus, Hao Gao, Benn Macdonald, Colin Berry, Xiaoyu Luo and Dirk Husmeier

Integration of survival and binary data for variable selection and prediction: a Bayesian approach pp. 1577-1595

Arnab Kumar Maity, Raymond J. Carroll and Bani K. Mallick

Volume 68, issue 4, 2019

Modelling extreme rain accumulation with an application to the 2011 Lake Champlain flood pp. 831-858

Jonathan Jalbert, Orla A. Murphy, Christian Genest and Johanna G. Nešlehová

Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model pp. 859-885

Vinny Davies, William T. Harvey, Richard Reeve and Dirk Husmeier

Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study pp. 887-913

Umberto Picchini and Julie Lyng Forman

Comparing Kaplan–Meier curves with delayed treatment effects: applications in immunotherapy trials pp. 915-939

Philippe Flandre and John O’Quigley

Data integrative Bayesian inference for mixtures of regression models pp. 941-962

Mehran Aflakparast and Mathisca de Gunst

Markov switching integer‐valued generalized auto‐regressive conditional heteroscedastic models for dengue counts pp. 963-983

Cathy W. S. Chen, Khemmanant Khamthong and Sangyeol Lee

An instrumental variable procedure for estimating Cox models with non‐proportional hazards in the presence of unmeasured confounding pp. 985-1005

Pablo Martínez‐Camblor, Todd A. MacKenzie, Doug Staiger, Phillip P. Goodney and A. James O’Malley

Detecting anisotropy in fingerprint growth pp. 1007-1027

Karla Markert, Karolin Krehl, Carsten Gottschlich and Stephan Huckemann

The mean, variance and correlation for bivariate recurrent event data with a terminal event pp. 1029-1049

Thomas H. Scheike, Frank Eriksson and Siri Tribler

Testing critical points of non‐parametric regression curves: application to the management of stalked barnacles pp. 1051-1070

Marta Sestelo and Javier Roca‐Pardiñas

Additive quantile regression for clustered data with an application to children's physical activity pp. 1071-1089

Marco Geraci

Non‐parametric Bayes models for mixed scale longitudinal surveys pp. 1091-1109

Tsuyoshi Kunihama, Carolyn T. Halpern and Amy H. Herring

Non‐parametric overdose control for dose finding in drug combination trials pp. 1111-1130

Chi Kin Lam, Ruitao Lin and Guosheng Yin

Estimation of the Von Bertalanffy growth model when ages are measured with error pp. 1131-1147

Rajib Dey, Noel Cadigan and Nan Zheng

Health effects of sanitation facilities: a Bayesian semiparametric analysis of compositional data pp. 1149-1166

Samuel I. Watson, Jo Sartori, Olalekan Uthman and Richard J. Lilford

Joint modelling of competing risks and current status data: an application to a spontaneous labour study pp. 1167-1182

Youjin Lee, Mei‐Cheng Wang, Katherine L. Grantz and Rajeshwari Sundaram

A computationally efficient correlated mixed probit model for credit risk inference pp. 1183-1204

Elisa Tosetti and Veronica Vinciotti

Volume 68, issue 3, 2019

Functional clustering of accelerometer data via transformed input variables pp. 495-520

Yaeji Lim, Hee‐Seok Oh and Ying Kuen Cheung

Bayesian analysis of functional magnetic resonance imaging data with spatially varying auto‐regressive orders pp. 521-541

Ming Teng, Farouk S. Nathoo and Timothy D. Johnson

Careful prior specification avoids incautious inference for log‐Gaussian Cox point processes pp. 543-564

Sigrunn H. S⊘rbye, Janine B. Illian, Daniel P. Simpson, David Burslem and Håvard Rue

Discrete Weibull generalized additive model: an application to count fertility data pp. 565-583

Alina Peluso, Veronica Vinciotti and Keming Yu

Exploring patterns of demand in bike sharing systems via replicated point process models pp. 585-602

Daniel Gervini and Manoj Khanal

Rectangular latent Markov models for time‐specific clustering, with an analysis of the wellbeing of nations pp. 603-621

Gordon Anderson, Alessio Farcomeni, Maria Grazia Pittau and Roberto Zelli

Optimal design of experiments for non‐linear response surface models pp. 623-640

Yuanzhi Huang, Steven G. Gilmour, Kalliopi Mylona and Peter Goos

Detecting weak dependence in computer network traffic patterns by using higher criticism pp. 641-655

Matthew Price‐Williams, Nick Heard and Patrick Rubin‐Delanchy

Calibrating non‐probability surveys to estimated control totals using LASSO, with an application to political polling pp. 657-681

Jack Kuang Tsung Chen, Richard L. Valliant and Michael R. Elliott

RNASeqDesign: a framework for ribonucleic acid sequencing genomewide power calculation and study design issues pp. 683-704

Chien‐Wei Lin, Serena G. Liao, Peng Liu, Mei‐Ling Ting Lee, Yong Seok Park and George C. Tseng

PairClone: a Bayesian subclone caller based on mutation pairs pp. 705-725

Tianjian Zhou, Peter Müller, Subhajit Sengupta and Yuan Ji

Ranking the importance of genetic factors by variable‐selection confidence sets pp. 727-749

Chao Zheng, Davide Ferrari, Michael Zhang and Paul Baird

Topic modelling for medical prescription fraud and abuse detection pp. 751-769

Babak Zafari and Tahir Ekin

Landmark linear transformation model for dynamic prediction with application to a longitudinal cohort study of chronic disease pp. 771-791

Yayuan Zhu, Liang Li and Xuelin Huang

A new competing risks decomposition: application to the effect of cutting unemployment benefit on unemployment durations pp. 793-807

Donal O’Neill

Bayesian non‐parametric survival regression for optimizing precision dosing of intravenous busulfan in allogeneic stem cell transplantation pp. 809-828

Yanxun Xu, Peter F. Thall, William Hua and Borje S. Andersson

Volume 68, issue 2, 2019

Preface to the themed issue on ‘Early phase clinical trial design methodology’ pp. 267-269

Nolan A. Wages and Ying Yuan

Semiparametric dose finding methods: special cases pp. 271-288

M. Clertant and J. O’Quigley

gBOIN: a unified model‐assisted phase I trial design accounting for toxicity grades, and binary or continuous end points pp. 289-308

Rongji Mu, Ying Yuan, Jin Xu, Sumithra J. Mandrekar and Jun Yin

A Bayesian model‐free approach to combination therapy phase I trials using censored time‐to‐toxicity data pp. 309-329

Graham M. Wheeler, Michael J. Sweeting and Adrian Mander

Phase I–II trial design for biologic agents using conditional auto‐regressive models for toxicity and efficacy pp. 331-345

Daniel G. Muenz, Jeremy M. G. Taylor and Thomas M. Braun

An information theoretic phase I–II design for molecularly targeted agents that does not require an assumption of monotonicity pp. 347-367

Pavel Mozgunov and Thomas Jaki

Joint modelling of a binary and a continuous outcome measured at two cycles to determine the optimal dose pp. 369-384

Monia Ezzalfani, Tomasz Burzykowski and Xavier Paoletti

AAA: triple adaptive Bayesian designs for the identification of optimal dose combinations in dual‐agent dose finding trials pp. 385-410

Jiaying Lyu, Yuan Ji, Naiqing Zhao and Daniel V. T. Catenacci

A utility‐based Bayesian phase I–II design for immunotherapy trials with progression‐free survival end point pp. 411-425

Beibei Guo, Yeonhee Park and Suyu Liu

A dose finding design for seizure reduction in neonates pp. 427-444

Moreno Ursino, Ying Yuan, Corinne Alberti, Emmanuelle Comets, Geraldine Favrais, Tim Friede, Frederike Lentz, Nigel Stallard and Sarah Zohar

Dose individualization and variable selection by using the Bayesian lasso in early phase dose finding trials pp. 445-460

Yasuyuki Kakurai, Shuhei Kaneko, Chikuma Hamada and Akihiro Hirakawa

Optimizing natural killer cell doses for heterogeneous cancer patients on the basis of multiple event times pp. 461-474

Juhee Lee, Peter F. Thall and Katy Rezvani

Treatment and dose prioritization in early phase platform trials of targeted cancer therapies pp. 475-491

Yimei Li, Ming Wang and Ying Kuen Cheung

Volume 68, issue 1, 2019

Dirichlet process mixtures of order statistics with applications to retail analytics pp. 3-28

James Pitkin, Gordon Ross and Ioanna Manolopoulou

Projecting UK mortality by using Bayesian generalized additive models pp. 29-49

Jason Hilton, Erengul Dodd, Jonathan J. Forster and Peter W. F. Smith

Computer model calibration with large non‐stationary spatial outputs: application to the calibration of a climate model pp. 51-78

Kai‐Lan Chang and Serge Guillas

Distributed lag interaction models with two pollutants pp. 79-97

Yin‐Hsiu Chen, Bhramar Mukherjee and Veronica J. Berrocal

Spatial cluster detection in mobility networks: a copula approach pp. 99-120

Heeyoung Kim, Rong Duan, Sungil Kim, Jaehwan Lee and Guang‐Qin Ma

Informing a risk prediction model for binary outcomes with external coefficient information pp. 121-139

Wenting Cheng, Jeremy M. G. Taylor, Tian Gu, Scott A. Tomlins and Bhramar Mukherjee

Detecting epistatic selection with partially observed genotype data by using copula graphical models pp. 141-160

Pariya Behrouzi and Ernst C. Wit

On the ranking of test match batsmen pp. 161-179

Richard J. Boys and Peter M. Philipson

Methods for preferential sampling in geostatistics pp. 181-198

Daniel Dinsdale and Matias Salibian‐Barrera

Multivariate posterior inference for spatial models with the integrated nested Laplace approximation pp. 199-215

Virgilio Gómez‐Rubio and Francisco Palmí‐Perales

Bayesian log‐Gaussian Cox process regression: applications to meta‐analysis of neuroimaging working memory studies pp. 217-234

Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff, Tor D. Wager, Lisa Feldman Barrett, Shir Atzil, Timothy D. Johnson and Thomas E. Nichols

Two‐stage design for phase I–II cancer clinical trials using continuous dose combinations of cytotoxic agents pp. 235-250

Mourad Tighiouart

Temporal trends of biomarkers and between‐biomarker associations pp. 251-264

Zonghui Hu