Journal Series C: current and forthcoming papers

RSS Series C journalVolume 67 (2018), part 4

Current and scheduled papers are available to subscribers from the Wiley Online Library.

Log in at My RSS and go to ‘My publication’ to view your journals and access the Wiley website.

Optimal treatment allocations in space and time for on‐line control of an emerging infectious disease (with discussion)
E B Laber, N J Meyer, B J Reich, K Pacifici, J A Collazo and J M Drake

Using artificial censoring to improve extreme tail quantile estimates
Y Liu, M Salibián-Barrera, R H Zamar and J V Zidek

Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models
A Bonnet, C Lévy-Leduc, E Gassiat, R Toro and T Bourgeron

Correlated multistate models for multiple processes: an application to renal disease progression in systemic lupus erythematosus
A G O’Keefe, L Su and V T Farewell

Bayesian small area estimation for skewed business survey variables
E Fabrizi, M R Ferrante and C Trivisano

Non-parametric Bayesian multivariate metaregression: an application in environmental epidemiology
G Sim, H Kim, A Zanobetti, J Schwartz and Y Chung

The functional latent block model for the co-clustering of electricity consumption curves
C Bouveyron, L Bozzi, J Jacques and F-X Jollois

Discovering treatment effect heterogeneity through post-treatment variables with application to the effect of class size on mathematics scores
A Ertefaie, J Y Hsu, L C Page and D S Small

Marginal logistic regression for spatially clustered binary data
M Cattelan and C Varin

Functional principal components analysis on moving time windows of longitudinal data: dynamic prediction of times to event
F Yan, X Lin, R Li and X Huang

Simultaneous equation penalized likelihood estimation of vehicle accident injury severity
F Donat and G Marra

Spatially varying auto-regressive models for prediction of new human immunodeficiency virus diagnoses
L Shand, B Li, T Park and D Albarracín

Estimating material properties under extreme conditions by using Bayesian model calibration with functional outputs
J L Brown and L B Hund

Power and commensurate priors for synthesizing aggregate and individual patient level data in network meta-analysis
H Hong, H Fu and B P Carlin

Bayesian models for weighted data with missing values: a bootstrap approach
H Goldstein, J Carpenter and M G Kenward

Modelling correlated binary variables: an application to lower urinary tract symptoms
W Barcella, M De Iorio and J Malone-Lee

Forthcoming papers

Computer model calibration with large non-stationary spatial outputs: application to the calibration of a climate model
K-L Chang and S Guillas

Functional clustering of accelerometer data via transformed input variables
Y Lim, H-S Oh and Y K Cheung

Semi parametric dose finding methods: special cases
M Clertant and J O’Quigley

Joint modelling of a binary and a continuous outcome measured at two cycles to determine the optimal dose
M Ezzalfani, T Burzykowski and X Paoletti

Informing a risk prediction model for binary outcomes with external coefficient information
W Cheng, J M G Taylor, T Gu, S A Tomlins and B Mukherjee

Projecting UK mortality by using Bayesian generalized additive models
J Hilton, E Dodd, J Forster and P W F Smith

On the ranking of test match batsmen
R J Boys and P M Philipson

Distributed lag interaction models with two pollutants
Y-H Chen, B Mukherjee and V J Berrocal

Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies
P Samartsidis, C R Eickhoff, S B Eickhoff, T D Wager, L F Barrett, S Atzil, T D Johnson and T E Nichols

Two-stage design for phase I–II cancer clinical trials using continuous dose combinations of cytotoxic agents
M Tighiouart

Multivariate posterior inference for spatial models with the integrated nested Laplace approximation
V Gómez-Rubio and F Palmí-Perales

An information theoretic phase I–II design for molecularly targeted agents that does not require an assumption of monotonicity
P Mozgunov and T Jaki

AAA: triple adaptive Bayesian designs for the identification of optimal dose combinations in dual-agent dose finding trials
J Lyu, Y Ji, N Zhao and D V T Catenacci

Temporal trends of biomarkers and between-biomarker associations
Z Hu

A dose finding design for seizure reduction in neonates
M Ursino, Y Yuan, C Alberti, E Comets, G Favrais, T Friede, F Lentz, N Stallard and S Zohar

Detecting epistatic selection with partially observed genotype data by using copula graphical models
P Behrouzi and E C Wit

A utility-based Bayesian phase I–II design for immunotherapy trial with progression-free survival end point
B Guo, Y Park and S Liu

Stratified space–time infectious disease modelling, with an application to hand, foot and mouth disease in China
C Bauer and J Wakefield

Methods for preferential sampling in geostatistics
D Dinsdale and M Salibian-Barrera

Multivariate latent variable transition models of longitudinal mixed data: an analysis on alcohol use disorder
S Cagnone and C Viroli

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
H Zhang and L Wu

Peptide refinement by using a stochastic search
N H Lewis, D B Hitchcock, I L Dryden and J R Rose

Testing for pathway (in)activation by using Gaussian graphical models
W N van Wieringen, C F W Peeters, R X de Menezes and M A van de Wiel

Constructing treatment decision rules based on scalar and functional predictors when moderators of treatment effect are unknown
A Ciarleglio, E Petkova, T Ogden and T Tarpey

Unravelling the predictive power of telematics data in car insurance pricing
R Verbelen, K Antonio and G Claeskens

Detecting multivariate interactions in spatial point patterns with Gibbs models and variable selection
T Rajala, D J Murrell and S C Olhede

Optimizing natural killer cell doses for heterogeneous cancer patients on the basis of multiple event times
J Lee, P F Thall and K Rezvani

Radiologic image-based statistical shape analysis of brain tumours
K Bharath, S Kurtek, A Rao and V Baladandayuthapani

gBOIN: a unified model-assisted phase I trial design accounting for toxicity grades, and binary or continuous end points
R Mu, Y Yuan, J Xu, S J Mandreker and J Yin