Works matching IS 00359254 AND DT 2017 AND VI 66 AND IP 2

Results: 12

Log-mean linear regression models for binary responses with an application to multimorbidity.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 227, doi. 10.1111/rssc.12160

By:

Lupparelli, Monia;
Roverato, Alberto

Publication type:

Article

Simultaneous inference for multilevel linear mixed models-with an application to a large-scale school meal study.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 295, doi. 10.1111/rssc.12161

By:

Ritz, Christian;
Pilmann Laursen, Rikke;
Trab Damsgaard, Camilla

Publication type:

Article

Linear regression with a randomly censored covariate: application to an Alzheimer's study.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 313, doi. 10.1111/rssc.12164

By:

Atem, Folefac D.;
Qian, Jing;
Maye, Jacqueline E.;
Johnson, Keith A.;
Betensky, Rebecca A.

Publication type:

Article

Prediction of settlement delay in critical illness insurance claims by using the generalized beta of the second kind distribution.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 273, doi. 10.1111/rssc.12165

By:

Dodd, Erengul;
Streftaris, George

Publication type:

Article

An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 329, doi. 10.1111/rssc.12167

By:

Castruccio, Stefano;
Guinness, Joseph

Publication type:

Article

Binary auto-regressive geometric modelling in a DNA context.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 253, doi. 10.1111/rssc.12172

By:

Gouveia, Sónia;
Scotto, Manuel G.;
Weiß, Christian H.;
Ferreira, Paulo Jorge S. G.

Publication type:

Article

Bayesian D-optimal choice designs for mixtures.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 363, doi. 10.1111/rssc.12174

By:

Ruseckaite, Aiste;
Goos, Peter;
Fok, Dennis

Publication type:

Article

Subgroup selection in adaptive signature designs of confirmatory clinical trials.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 345, doi. 10.1111/rssc.12175

By:

Zhang, Zhiwei;
Li, Meijuan;
Lin, Min;
Soon, Guoxing;
Greene, Tom;
Shen, Changyu

Publication type:

Article

A Bayesian hidden Markov mixture model to detect overexpressed chromosome regions.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 387, doi. 10.1111/rssc.12178

By:

Mayrink, Vinícius Diniz;
Gonçalves, Flávio Bambirra

Publication type:

Article

Issue Information.

Published in:: Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 225, doi. 10.1111/rssc.12180
Publication type:: Article

A multistate model for correlated interval-censored life history data in caries research.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 413, doi. 10.1111/rssc.12186

By:

Pak, Daewoo;
Li, Chenxi;
Todem, David;
Sohn, Woosung

Publication type:

Article

Estimation of the population size by using the one-inflated positive Poisson model.

Published in:

Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 2, p. 425, doi. 10.1111/rssc.12192

By:

Godwin, Ryan T.;
Böhning, Dankmar

Publication type:

Article