Works matching IS 00359254 AND DT 2019 AND VI 68 AND IP 4

Results: 18

A computationally efficient correlated mixed probit model for credit risk inference.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1183, doi. 10.1111/rssc.12352

By:

Tosetti, Elisa;
Vinciotti, Veronica

Publication type:

Article

Joint modelling of competing risks and current status data: an application to a spontaneous labour study.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1167, doi. 10.1111/rssc.12351

By:

Lee, Youjin;
Wang, Mei‐Cheng;
Grantz, Katherine L.;
Sundaram, Rajeshwari

Publication type:

Article

The mean, variance and correlation for bivariate recurrent event data with a terminal event.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1029, doi. 10.1111/rssc.12350

By:

Scheike, Thomas H.;
Eriksson, Frank;
Tribler, Siri

Publication type:

Article

Non‐parametric overdose control for dose finding in drug combination trials.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1111, doi. 10.1111/rssc.12349

By:

Lam, Chi Kin;
Lin, Ruitao;
Yin, Guosheng

Publication type:

Article

Non‐parametric Bayes models for mixed scale longitudinal surveys.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1091, doi. 10.1111/rssc.12348

By:

Kunihama, Tsuyoshi;
Halpern, Carolyn T.;
Herring, Amy H.

Publication type:

Article

Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 887, doi. 10.1111/rssc.12347

By:

Picchini, Umberto;
Forman, Julie Lyng

Publication type:

Article

Data integrative Bayesian inference for mixtures of regression models.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 941, doi. 10.1111/rssc.12346

By:

Aflakparast, Mehran;
Gunst, Mathisca

Publication type:

Article

Comparing Kaplan–Meier curves with delayed treatment effects: applications in immunotherapy trials.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 915, doi. 10.1111/rssc.12345

By:

Flandre, Philippe;
O'Quigley, John

Publication type:

Article

Markov switching integer‐valued generalized auto‐regressive conditional heteroscedastic models for dengue counts.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 963, doi. 10.1111/rssc.12344

By:

Chen, Cathy W. S.;
Khamthong, Khemmanant;
Lee, Sangyeol

Publication type:

Article

Detecting anisotropy in fingerprint growth.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1007, doi. 10.1111/rssc.12343

By:

Markert, Karla;
Krehl, Karolin;
Gottschlich, Carsten;
Huckemann, Stephan

Publication type:

Article

Modelling extreme rain accumulation with an application to the 2011 Lake Champlain flood.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 831, doi. 10.1111/rssc.12342

By:

Jalbert, Jonathan;
Murphy, Orla A.;
Genest, Christian;
Nešlehová, Johanna G.

Publication type:

Article

An instrumental variable procedure for estimating Cox models with non‐proportional hazards in the presence of unmeasured confounding.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 985, doi. 10.1111/rssc.12341

By:

Martínez‐Camblor, Pablo;
MacKenzie, Todd A.;
Staiger, Douglas O.;
Goodney, Phillip P.;
James O'Malley, A.

Publication type:

Article

Estimation of the Von Bertalanffy growth model when ages are measured with error.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1131, doi. 10.1111/rssc.12340

By:

Dey, Rajib;
Cadigan, Noel;
Zheng, Nan

Publication type:

Article

Health effects of sanitation facilities: a Bayesian semiparametric analysis of compositional data.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1149, doi. 10.1111/rssc.12339

By:

Watson, Samuel I.;
Sartori, Jo;
Uthman, Olalekan;
Lilford, Richard J.

Publication type:

Article

Improving the identification of antigenic sites in the H1N1 influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 859, doi. 10.1111/rssc.12338

By:

Davies, Vinny;
Harvey, William T.;
Reeve, Richard;
Husmeier, Dirk

Publication type:

Article

Testing critical points of non‐parametric regression curves: application to the management of stalked barnacles.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1051, doi. 10.1111/rssc.12336

By:

Sestelo, Marta;
Roca‐Pardiñas, Javier

Publication type:

Article

Additive quantile regression for clustered data with an application to children's physical activity.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 1071, doi. 10.1111/rssc.12333

By:

Geraci, Marco

Publication type:

Article

Issue Information.

Published in:: Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019, v. 68, n. 4, p. 829, doi. 10.1111/rssc.12303
Publication type:: Article