Journal of the Royal Statistical Society. Series C, Applied statistics

Keyphrases

Publications

volume 73, number 2, 2024

Wei Liu, Zhiwei Zhang, Zonghui Hu, Ping Xu, Calvin J Cohen
A pseudo-response approach to constructing confidence intervals for the subset of patients expected to benefit from a new treatment. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (2) (2024)
Wei Liu, Zhiwei Zhang, Zonghui Hu, Ping Xu, Calvin J Cohen
A pseudo-response approach to constructing confidence intervals for the subset of patients expected to benefit from a new treatment. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (2) (2024)

volume 73, number 3, 2024

Nancy L Garcia, Mariana Rodrigues-Motta, Helio S Migon, Eva Petkova, Thaddeus Tarpey, R Todd Ogden, Julio O Giordano, Martin M Perez
Unsupervised Bayesian classification for models with scalar and functional covariates. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)
Charlotte Fowler, Xiaoxuan Cai, Justin T Baker, Jukka-Pekka Onnela, Linda Valeri
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)
Vanessa McNealis, Erica E M Moodie, Nema Dean
Revisiting the effects of maternal education on adolescents' academic performance: Doubly robust estimation in a network-based observational study. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)
Xinyuan Tian, Maria Ciarleglio, Jiachen Cai, Erich J Greene, Denise Esserman, Fan Li, Yize Zhao
Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)
Charlotte Fowler, Xiaoxuan Cai, Justin T Baker, Jukka-Pekka Onnela, Linda Valeri
Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)
Nancy L Garcia, Mariana Rodrigues-Motta, Helio S Migon, Eva Petkova, Thaddeus Tarpey, R Todd Ogden, Julio O Giordano, Martin M Perez
Unsupervised Bayesian classification for models with scalar and functional covariates. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)
Vanessa McNealis, Erica E M Moodie, Nema Dean
Revisiting the effects of maternal education on adolescents' academic performance: Doubly robust estimation in a network-based observational study. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)
Xinyuan Tian, Maria Ciarleglio, Jiachen Cai, Erich J Greene, Denise Esserman, Fan Li, Yize Zhao
Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)
Xinyuan Tian, Maria Ciarleglio, Jiachen Cai, Erich J Greene, Denise Esserman, Fan Li, Yize Zhao
Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (3) (2024)

volume 73, number 4, 2024

Kun Meng, Ani Eloyan
Population-level task-evoked functional connectivity via Fourier analysis. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (4) (2024)
Kun Meng, Ani Eloyan
Population-level task-evoked functional connectivity via Fourier analysis. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (4) (2024)
Junting Ren, Fabian J E Telschow, Armin Schwartzman
Inverse set estimation and inversion of simultaneous confidence intervals. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (4) (2024)
Junting Ren, Fabian J E Telschow, Armin Schwartzman
Inverse set estimation and inversion of simultaneous confidence intervals. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (4) (2024)
Junting Ren, Fabian J E Telschow, Armin Schwartzman
Inverse set estimation and inversion of simultaneous confidence intervals. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (4) (2024)
Kun Meng, Ani Eloyan
Population-level task-evoked functional connectivity via Fourier analysis. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (4) (2024)

volume 73, number 1, 2023

Marcin Jurek, Catherine A Calder, Corwin Zigler
Statistical inference for complete and incomplete mobility trajectories under the flight-pause model. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Xuemei Ding, Kevin He, John D Kalbfleisch
Models and methods for analysing clustered recurrent hospitalisations in the presence of COVID-19 effects. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Xuemei Ding, Kevin He, John D Kalbfleisch
Models and methods for analysing clustered recurrent hospitalisations in the presence of COVID-19 effects. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Marcin Jurek, Catherine A Calder, Corwin Zigler
Statistical inference for complete and incomplete mobility trajectories under the flight-pause model. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Fedelis Mutiso, Hong Li, John L Pearce, Sara E Benjamin-Neelon, Noel T Mueller, Brian Neelon
Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Marcin Jurek, Catherine A Calder, Corwin Zigler
Statistical inference for complete and incomplete mobility trajectories under the flight-pause model. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Xuemei Ding, Kevin He, John D Kalbfleisch
Models and methods for analysing clustered recurrent hospitalisations in the presence of COVID-19 effects. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Fedelis Mutiso, Hong Li, John L Pearce, Sara E Benjamin-Neelon, Noel T Mueller, Brian Neelon
Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Fedelis Mutiso, Hong Li, John L Pearce, Sara E Benjamin-Neelon, Noel T Mueller, Brian Neelon
Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Fedelis Mutiso, Hong Li, John L Pearce, Sara E Benjamin-Neelon, Noel T Mueller, Brian Neelon
Bayesian kernel machine regression for count data: modelling the association between social vulnerability and COVID-19 deaths in South Carolina. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Cheng Zheng, Lili Tong, Ying Zhang
Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington's disease subjects. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)
Xuemei Ding, Kevin He, John D Kalbfleisch
Models and methods for analysing clustered recurrent hospitalisations in the presence of COVID-19 effects. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (1) (2023)

volume 73, number 2, 2023

Zeyu Bian, Erica E M Moodie, Susan M Shortreed, Sylvie D Lambert, Sahir Bhatnagar
Variable selection for individualised treatment rules with discrete outcomes. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (2) (2023)
Zeyu Bian, Erica E M Moodie, Susan M Shortreed, Sylvie D Lambert, Sahir Bhatnagar
Variable selection for individualised treatment rules with discrete outcomes. Journal of the Royal Statistical Society. Series C, Applied statistics 73 (2) (2023)

volume 72, number 1, 2023

Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert Jenq, Christine B Peterson
Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (1) (2023)

volume 72, number 2, 2023

Bora Jin, David B Dunson, Julia E Rager, David M Reif, Stephanie M Engel, Amy H Herring
Bayesian matrix completion for hypothesis testing. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (2) (2023)
Bora Jin, David B Dunson, Julia E Rager, David M Reif, Stephanie M Engel, Amy H Herring
Bayesian matrix completion for hypothesis testing. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (2) (2023)

volume 72, number 3, 2023

Seonjoo Lee, Jongwoo Choi, Zhiqian Fang, F DuBois Bowman, null null
Longitudinal Canonical Correlation Analysis. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (3) (2023)
Arthur Lui, Juhee Lee, Peter F Thall, May Daher, Katy Rezvani, Rafet Basar
A Bayesian feature allocation model for identifying cell subpopulations using CyTOF data. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (3) (2023)

volume 72, number 4, 2023

Austin Talbot, David Dunson, Kafui Dzirasa, David Carlson
Estimating a brain network predictive of stress and genotype with supervised autoencoders. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (4) (2023)
Yuan Zhang, David M Vock, Megan E Patrick, Lizbeth H Finestack, Thomas A Murray
Outcome trajectory estimation for optimal dynamic treatment regimes with repeated measures. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (4) (2023)

volume 72, number 5, 2023

Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nøst, Julien Chiquet, Marc Chadeau-Hyam
Automated calibration for stability selection in penalised regression and graphical models. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (5) (2023)
Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nøst, Julien Chiquet, Marc Chadeau-Hyam
Automated calibration for stability selection in penalised regression and graphical models. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (5) (2023)
Jarcy Zee, Laura Mariani, Laura Barisoni, Parag Mahajan, Brenda Gillespie
A novel agreement statistic using data on uncertainty in ratings. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (5) (2023)
Jarcy Zee, Laura Mariani, Laura Barisoni, Parag Mahajan, Brenda Gillespie
A novel agreement statistic using data on uncertainty in ratings. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (5) (2023)
Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nøst, Julien Chiquet, Marc Chadeau-Hyam
Automated calibration for stability selection in penalised regression and graphical models. Journal of the Royal Statistical Society. Series C, Applied statistics 72 (5) (2023)

volume 71, number 5, 2022

Luke Ondijo Ouma, Michael John Grayling, James M S Wason, Haiyan Zheng
Bayesian modelling strategies for borrowing of information in randomised basket trials. Journal of the Royal Statistical Society. Series C, Applied statistics 71 (5) (2022)
Juhee Lee, Peter F Thall, Bora Lim, Pavlos Msaouel
Utility-based Bayesian personalized treatment selection for advanced breast cancer. Journal of the Royal Statistical Society. Series C, Applied statistics 71 (5) (2022)
Luke Ondijo Ouma, Michael John Grayling, James M S Wason, Haiyan Zheng
Bayesian modelling strategies for borrowing of information in randomised basket trials. Journal of the Royal Statistical Society. Series C, Applied statistics 71 (5) (2022)
Juhee Lee, Peter F Thall, Bora Lim, Pavlos Msaouel
Utility-based Bayesian personalized treatment selection for advanced breast cancer. Journal of the Royal Statistical Society. Series C, Applied statistics 71 (5) (2022)
José L Jiménez, Mourad Tighiouart
Combining cytotoxic agents with continuous dose levels in seamless phase I-II clinical trials. Journal of the Royal Statistical Society. Series C, Applied statistics 71 (5) (2022)
Luke Ondijo Ouma, Michael John Grayling, James M S Wason, Haiyan Zheng
Bayesian modelling strategies for borrowing of information in randomised basket trials. Journal of the Royal Statistical Society. Series C, Applied statistics 71 (5) (2022)
Juhee Lee, Peter F Thall, Bora Lim, Pavlos Msaouel
Utility-based Bayesian personalized treatment selection for advanced breast cancer. Journal of the Royal Statistical Society. Series C, Applied statistics 71 (5) (2022)