Journal of the Royal Statistical Society - Series C

Volume 68, n° 5, November 2019

  • Andridge R. R., West B. T., Little R. J. A., Boonstra P. S., Alvarado‐Leiton F. - Indices of non-ignorable selection bias for proportions estimated from non-probability samples, pp. 1465‑1483
  • Cardot H., Lecuelle G., Schlich P., Visalli M. - Estimating finite mixtures of semi-Markov chains: an application to the segmentation of temporal sensory data, pp. 1281‑1303
  • Dai J. Y., LeBlanc M. - Case-only trees and random forests for exploring genotype-specific treatment effects in randomized clinical trials with dichotomous end points, pp. 1371‑1391
  • Davies V., Noè U., Lazarus A., Gao H., Macdonald B., Berry C., Husmeier D. - Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation, pp. 1555‑1576
  • Domenicano I., Ventz S., Cellamare M., Mak R. H., Trippa L. - Bayesian uncertainty-directed dose finding designs, pp. 1393‑1410
  • Economou T., Menary M. B. - A hidden semi-Markov model for characterizing regime shifts in ocean density variability, pp. 1529‑1553
  • Fauvernier M., Roche L., Uhry Z. Tron L., Bossard N., Remontet L. - Multi-dimensional penalized hazard model with continuous covariates: applications for studying trends and social inequalities in cancer survival, pp. 1233‑1257
  • Kjærgaard S., Ergemen Y. E., Kallestrup‐Lamb M., Oeppen J., Lindahl‐Jacobsen R. - Forecasting causes of death by using compositional data analysis: the case of cancer deaths, pp. 1351‑1370
  • Li X., Zhao Z. - A time varying approach to the stock return–inflation puzzle, pp. 1509‑1528
  • Maity A. K., Carroll R. J., Mallick B. K. - Integration of survival and binary data for variable selection and prediction: a Bayesian approach, pp. 1577‑1595
  • Mohammed S., Dey D. K., Zhang Y. - Bayesian variable selection using spike-and-slab priors with application to high dimensional electroencephalography data by local modelling, pp. 1305‑1326
  • Ott M. Q., Gile K. J., Harrison M. T., Johnston L. G., Hogan J. W. - Reduced bias for respondent-driven sampling: accounting for non-uniform edge sampling probabilities in people who inject drugs in Mauritius, pp. 1411‑1429
  • Price M. J., Yu C. L. Hennessy D. A., Du X. - Are actuarial crop insurance rates fair?: an analysis using a penalized bivariate B-spline method, pp. 1207‑1232
  • Sachs M. C., Discacciati A., Everhov Å. H., Olén O., Gabriel E. E. - Ensemble prediction of time-to-event outcomes with competing risks: a case-study of surgical complications in Crohn’s disease, pp. 1431‑1446
  • Sansom P. G., Williamson D. B., Stephenson D. B. - State space models for non-stationary intermittently coupled systems: an application to the North Atlantic oscillation, pp. 1259‑1280
  • Selosse M., Jacques, J. Biernacki C., Cousson‐Gélie F. - Analysing a quality-of-life survey by using a coclustering model for ordinal data and some dynamic implications, pp. 1327‑1349
  • Tu C.-C., Forbes F., Lemasson B., Wang N. - Prediction with high dimensional regression via hierarchically structured Gaussian mixtures and latent variables, pp. 1485‑1507
  • Wan F., Titman A. C., Jaki T. F. - Subgroup analysis of treatment effects for misclassified biomarkers with time-to-event data, pp. 1447‑1463

Volume 68, n° 4, August 2019

  • AFLAKPARAST Mehran, GUNST Mathisca - Data integrative Bayesian inference for mixtures of regression models, pp. 941‑62.
  • CHEN Cathy W. S., KHAMTHONG Khemmanant, LEE Sangyeol - Markov switching integer‐valued generalized auto‐regressive conditional heroscedastic models for dengue counts, pp. 963‑83.
  • DAVIES Vinny, HARVEY William T., REEVE Richard, HUSMEIER Dirk - Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model, pp. 859‑85.
  • DEY Rajib, CADIGAN Noel, ZHENG Nan - Estimation of the Von Bertalanffy growth model when ages are measured with error. pp. 1131‑47.
  • FLANDRE Philippe, O’QUIGLEY John - Comparing Kaplan–Meier curves with delayed treatment effects: applications in immunotherapy trials, pp. 915‑39.
  • GERACI Marco - Additive quantile regression for clustered data with an application to children’s physical activity, pp. 1071‑89.
  • JALBERT Jonathan, MURPHY Orla A., GENEST Christian, NEŠLEHOVÁ Johanna G. - Modelling extreme rain accumulation with an application to the 2011 Lake Champlain flood, pp. 831‑58.
  • KUNIHAMA Tsuyoshi, HALPERN Carolyn T., HERRING Amy H. - Non‐paramric Bayes models for mixed scale longitudinal surveys, pp. 1091‑1109.
  • LAM Chi Kin, LIN Ruitao, YIN Guosheng - Non‐paramric overdose control for dose finding in drug combination trials, pp. 1111‑30.
  • LEE Youjin, WANG Mei‐Cheng, GRANTZ Katherine L., SUNDARAM Rajeshwari - Joint modelling of comping risks and current status data: an application to a spontaneous labour study, pp. 1167‑82.
  • MARKERT Karla, KREH Karolin L, GOTTSCHLICH Carsten, HUCKEMANN Stephan. - Decting anisotropy in fingerprint growth, pp. 1007‑27.
  • MARTÍNEZ‐CAMBLOR Pablo, MACKENZIE Todd A., STAIGER Douglas O., GOODNEY Phillip P., A. O’MALLEY James - An instrumental variable procedure for estimating Cox models with non‐proportional hazards in the presence of unmeasured confounding, pp. 985‑1005.
  • Umberto PICCHINI, FORMAN Julie Lyng. - Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study, pp. 887‑913.
  • SCHEIKE Thomas H., ERIKSSON Frank, TRIBLER Siri. - The mean, variance and correlation for bivariate recurrent event data with a terminal event, pp. 1029‑49.
  • SESTELO Marta, ROCA‐PARDIÑAS Javier - Testing critical points of non‐paramric regression curves: application to the management of stalked barnacles, pp.1051‑70.
  • TOSTI Elisa, VINCIOTTI Veronica. - A computationally efficient correlated mixed probit model for credit risk inference, pp. 1183‑1204.

(résumés du n° 4/2019)

Volume 68, n° 3, April 2019

  • LIM Yaeji, OH Hee‐Seok, OH Ying, CHEUNG Kuen - Functional clustering of accelerometer data via transformed input variables, pp. 495-520
  • TENG Ming, NATHOO Farouk S., JOHNSON Timothy D. - Bayesian analysis of functional magnetic resonance imaging data with spatially varying auto‐regressive orders, pp. 521-541
  • SØRBYE Sigrunn H., ILLIAN Janine B., SIMPSON Daniel P., BURSLEM David, RUE Håvard - Careful prior specification avoids incautious inference for log‐Gaussian Cox point processes, pp. 543-564
  • PELUSO Alina, VINCIOTTI Veronica, YU Keming - Discrete Weibull generalized additive model: an application to count fertility data, pp. 565-583
  • GERVINI Daniel, KHANAL Manoj - Exploring patterns of demand in bike sharing systems via replicated point process models, pp. 585-602 
  • ANDERSON Gordon, FARCOMENI Alessio, PITTAU Maria Grazia, ZELLI Roberto -   Rectangular latent Markov models for time‐specific clustering, with an analysis of the wellbeing of nations, pp. 603-621
  • HUANG Yuanzhi, GILMOUR Steven G., MYLONA Kalliopi, GOOS Peter - Optimal design of experiments for non‐linear response surface models, pp. 623-640
  • PRICE-WILLIAMS Matthew, HEARD Nick, RUBIN-DELANCHY Patrick - Detecting weak dependence in computer network traffic patterns by using higher criticism, pp. 641-655
  • CHEN Jack Kuang Tsung, VALLIANT Richard L., ELLIOTT Michael R. - Calibrating non‐probability surveys to estimated control totals using LASSO, with an application to political polling, pp. 657-681
  • LIN Chien‐Wei, LIAO Serena G., LIU Peng, LEE Mei‐Ling Ting, PARK Yong Seok, TSENG George C. - RNASeqDesign: a framework for ribonucleic acid sequencing genomewide power calculation and study design issues, pp. 683-704
  • ZHOU Tianjian, MÜLLER Peter, SENGUPTA Subhajit, JI Yuan - PairClone: a Bayesian subclone caller based on mutation pairs, pp. 705-725
  • ZHENG Chao, FERRARI Davide, ZHANG Michael, BAIRD Paul - Ranking the importance of genetic factors by variable‐selection confidence sets, pp. 727-749
  • ZAFARI Babak, EKIN Tahir - Topic modelling for medical prescription fraud and abuse detection, pp. 751-769
  • ZHU Yayuan, LI Liang, HUANG Xuelin - Landmark linear transformation model for dynamic prediction with application to a longitudinal cohort study of chronic disease, pp. 771-791
  • O'NEILL Donal - A new competing risks decomposition: application to the effect of cutting unemployment benefit on unemployment durations, pp. 793-807
  • XU Yanxun, THALL Peter F., HUA William, ANDERSSON Borje S. - Bayesian non‐parametric survival regression for optimizing precision dosing of intravenous busulfan in allogeneic stem cell transplantation, pp. 809-828

(résumés du n° 3/2019)

Volume 68, n° 2, February 2019

  • WAGES Nolan A., YUAN Ying - Preface to the themed issue on ‘Early phase clinical trial design methodology’, pp. 267-269
  • CLERTANT M., O'QUIGLEY  J. - Semiparametric dose finding methods: special cases, pp. 271-288
  • MU Rongji, YUAN Ying, XU Jin, MANDREKAR Sumithra J., YIN Jun - gBOIN: a unified model‐assisted phase I trial design accounting for toxicity grades, and binary or continuous end points, pp. 289-308
  • WHEELER Graham M., SWEETING Michael J., MANDER Adrian P. - A Bayesian model‐free approach to combination therapy phase I trials using censored time‐to‐toxicity data, pp. 309-329
  • MUENZ Daniel G., TAYLOR Jeremy M. G., BRAUN Thomas M. - Phase I–II trial design for biologic agents using conditional auto‐regressive models for toxicity and efficacy, pp. 331-345
  • MOZGUNOV Pavel, JAKI Thomas - An information theoretic phase I–II design for molecularly targeted agents that does not require an assumption of monotonicity, pp. 347-367
  • EZZELFANI Monia, BURZYKOWSKI Tomasz, PAOLETTI Xavier - Joint modelling of a binary and a continuous outcome measured at two cycles to determine the optimal dose, pp. 369-384
  • LYU Jiaying, JI Yuan, ZHAO Naiqing, CATENACCI Daniel V. T. - AAA: triple adaptive Bayesian designs for the identification of optimal dose combinations in dual‐agent dose finding trials, pp. 385-410
  • GUO Beibei, PARK Yeonhee, LIU Suyu - A utility‐based Bayesian phase I–II design for immunotherapy trials with progression‐free survival end point, pp. 411-425
  • URSINO Moreno, YUAN Ying, ALBERTI Corinne, COMETS Emmanuelle, FAVRAIS Geraldine, FRIEDE Tim, LENTZ Frederike, STALLARD Nigel, ZOHAR Sarah - A dose finding design for seizure reduction in neonates, pp. 427-444
  • KAKURAI Yasuyuki, KANEKO Shuhei, HAMADA Chikuma, HIRAKAWA Akihiro - Dose individualization and variable selection by using the Bayesian lasso in early phase dose finding trials, pp. 445-460
  • LEE Juhee, THALL Peter F., REZVANI Katy - Optimizing natural killer cell doses for heterogeneous cancer patients on the basis of multiple event times, pp. 461-474
  • WANG Yimei Li Ming, CHEUNG Ying Kuen - Treatment and dose prioritization in early phase platform trials of targeted cancer therapies, pp. 475-491

(résumés du n° 2/2019)

Volume 68, n° 1, January 2019

  • PITKIN James, ROSS Gordon, MANOLOPOULOU Ioanna - Dirichlet process mixtures of order statistics with applications to retail analytics, pp. 3-28
  • HILTON Jason, DODD Erengul, FORSTER Jonathan J., SMITH Peter W. F. -Projecting UK mortality by using Bayesian generalized additive mode, pp. 29-49
  • CHANG Kai‐Lan, GUILLAS Serge - Computer model calibration with large non‐stationary spatial outputs: application to the calibration of a climate model, pp. 51-78
  • CHEN Yin‐Hsiu, MUKHERJEE Bhramar, BERROCAL Veronica J. - Distributed lag interaction models with two pollutants, pp. 79-97
  • KIM Heeyoung, DUAN Rong, KIM Sungil, LEE Jaehwan, MA Guang‐Qin -
    Spatial cluster detection in mobility networks: a copula approach, pp. 99-120
  • CHENG Wenting, TAYLOR Jeremy M. G., GU Tian, TOMLINS Scott A., MUKHERJEE Bhramar - Informing a risk prediction model for binary outcomes with external coefficient information, pp. 121-139
  • BEHROUZI Pariya, WIT Ernst C. - Detecting epistatic selection with partially observed genotype data by using copula graphical models, pp. 141-160
  • BOYS Richard J., PHILIPSON  Peter M. - On the ranking of test match batsmen, pp. 161-179
  • DINSDALE Daniel, SALIBIAN-BARRERA Matias - Methods for preferential sampling in geostatistics, pp. 181-198
  • GÓMEZ-RUBIO Virgilio, PALMI-PERALES Francisco - Multivariate posterior inference for spatial models with the integrated nested Laplace approximation, pp. 199-215
  • SAMARTSIDIS Pantelis, EICKHOFF Claudia R. , EICKHOFF Simon B., WAGER Tor D., FELDMAN Lisa, SHIR Barrett, TIMOTHY Atzil, THOMAS D. Johnson, NICHOLS Thomas E. -
    Bayesian log‐Gaussian Cox process regression: applications to meta‐analysis of neuroimaging working memory studies, pp. 217-234
  • TIGHIOUART Mourad - Two‐stage design for phase I–II cancer clinical trials using continuous dose combinations of cytotoxic agents, pp. 235-250
  • HU Zonghui - Temporal trends of biomarkers and between‐biomarker associations, pp. 251-264

(résumés du n° 1/2019)
 

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