Journal Series C: current and forthcoming papers

RSS Series C journalVolume 66 (2017), part 2

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

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Log-mean linear regression models for binary responses with an application to multimorbidity
M Lupparelli and A Roverato

Binary auto-regressive geometric modelling in a DNA context
S Gouveia, M G Scotto, C H Weiß and P J S G Ferreira

Prediction of settlement delay in critical illness insurance claims by using the generalized beta of the second kind distribution
E Dodd and G Streftaris

Simultaneous inference for multilevel linear mixed models—with an application to a large-scale school meal study
C Ritz, R Pilmann Laursen and C Trab Damsgaard

Linear regression with a randomly censored covariate: application to an Alzheimer’s study
F D Atem, J Qian, J E Maye, K A Johnson and R A Betenksy

An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes
S Castruccio and J Guinness

Subgroup selection in adaptive signature designs of confirmatory clinical trials
Z Zhang, M Li, M Lin, G Soon, T Greene and C Shen

Bayesian D-optimal choice designs for mixtures
A Ruseckaite, P Goos and D Fok

A Bayesian hidden Markov mixture model to detect overexpressed chromosome regions
V D Mayrink and F B Gonçalves

A multistate model for correlated interval-censored life history data in caries research
D Pak, C Li, D Todem and W Sohn

Estimation of the population size by using the one-inflated positive Poisson model
R T Godwin and D Böhning

Forthcoming papers

Urban heat risk mapping using multiple point patterns in Houston, Texas
J W Mortensen, M J Heaton and O V Wilhelmi

Bayesian model selection for the glacial-interglacial cycle
J Carson, M Crucifix, S Preston and R D Wilkinson

Markov models for ocular fixation locations in the presence and absence of colour
A B Kashlak, E Devane, H Dietert and H Jackson

Domain-selective functional analysis of variance for supervised statistical profile monitoring of signal data
A Pini, S Vantini, B M Colosimo and M Grasso

Estimating the treatment effect on the treated under time-dependent confounding in an application to the Swiss HIV Cohort Study
J M Gran, R Hoff, K Røysland, B Ledergerber, J Young and O O Aalen

Fully general Chao and Zelterman estimators with application to a whale shark population
A Farcomeni

A multivariate space–time model for analysing county level heart disease death rates by race and sex
H Quick, L A Waller and M Casper

Joint regression analysis of marginal quantile and quantile association: application to longitudinal body mass index in adolescents
C-C Yang, Y-H Chen and H-Y Chang

Ecological grouping of survey sites when sampling artefacts are present
S D Foster, N A Hill, M Lyons

A spatiotemporal model for extreme precipitation simulated by a climate model, with an application to assessing changes in return levels over North America
J Jalbert, A-C Favre, C Bélisle and J-F Angers

A Bayesian model selection approach for identifying differentially expressed transcripts from RNA sequencing data
P Papastamoulis and M Rattray

Accommodating informative dropout and death: a joint modelling approach for longitudinal and semicompeting risks data
Q Li and L Su

The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models
A R Hole and H I Yoo

A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials
H Pan, Y Yuan and J Xia

Biomarker detection and categorization in ribonucleic acid sequence meta-analysis using Bayesian hierarchical models
T Ma, F Liang and G Tseng

History matching of a complex epidemiological model of human immunodeficiency virus transmission by using variance emulation
I Andrianakis, I Vernon, N McCreesh, T J McKinley, J E Oakley, R N Nsubuga, M Goldstein and R G White

The networked partial correlation and its application to the analysis of genetic interactions
A Roverato and R Castelo

Bayesian modelling of networks in complex business intelligence problems
D Durante, S Paganin, B Scarpa and D B Dunson

Optimal design of experiments on connected units with application to social networks
B M Parker, S G Gilmour and J Schormans

Estimating whole-brain dynamics by using spectral clustering
I Cribben and Y Yu

Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models
A Mohammadi, F Abegaz, E van den Heuval and E C Wit

Analysis of networks with missing data with application to the National Longitudinal Study of Adolescent Health
K J Gile and M S Handcock

Exploring the existence of a stayer population with mover–stayer counting process models: application to joint damage in psoriatic arthritis
S Yiu, V T Farewell and B D M Tom

A second-order semiparametric method for survival analysis, with application to an acquired immune deficiency syndrome clinical trial study
F Jiang, Y Ma and J J Lee

Hidden Markov modelling of sparse time series from non-volcanic tremor observations
T Wang, J Zhuang, K Obara and H Tsuruoka

Phase I designs that allow for uncertainty in the attribution of adverse events
A Iasonos and J O’Quigley

A new strategy for diagnostic model assessment in capture–recapture
R S McCrea, B J T Morgan and O Gimenez