Journal Series C: current and forthcoming papers

RSS Series C journalVolume 67 (2018), part 5

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.

The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages (with discussion)
D Pigoli, P Z Hadjipantelis, J S Coleman and J A D Aston

Simultaneous inference for misaligned multivariate functional data
N L Olsen, B Markusson and L L Raket

The role of secondary outcomes in multivariate meta-analysis
J B Copas, D Jackson, I R White and R D Riley

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

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

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

Self-exciting point processes with spatial covariates: modelling the dynamics of crime
A Reinhart and J Greenhouse

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

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

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

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

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

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

Forthcoming papers

Dose individualization and variable selection by using the Bayesian lasso in early phase dose finding trials
Y Kakurai, S Kaneko, C Hamada and A Hirakawa

Detecting weak dependence in computer network traffic patterns by using higher criticism
M Price-Williams, N Heard and P Rubin-Delanchy

Bayesian analysis of functional magnetic resonance imaging data with spatially varying auto-regressive orders
M Teng, F S Nathoo and T D Johnson

Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
S H Sørbye, J B Illian, D P Simpson, D Burslem and H Rue

Exploring patterns of demand in bike sharing systems via replication point process models
D Gervini and M Khanal

Rectangular latent Markov models for time-specific clustering, with an analysis of the wellbeing of nations
G Anderson, A Farcomeni, M G Pittau and R Zelli

Phase I–II trial design for biologic agents using conditional auto-regressive models for toxicity and efficacy
D G Muenz, J M G Taylor and T M Braun

Discrete Weibull generalized additive model: an application to count fertility data
A Peluso, V Vinciotti and K Yu

Optimal design of experiments for non-linear response surface models
Y Huang, S G Gilmour, K Mylona and P Goos

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

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

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

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