Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Juli Atherton"'
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e84601 (2014)
BACKGROUND: Over time, adaptive Gaussian Hermite quadrature (QUAD) has become the preferred method for estimating generalized linear mixed models with binary outcomes. However, penalized quasi-likelihood (PQL) is still used frequently. In this work,
Externí odkaz:
https://doaj.org/article/f0bce514303f4cdba77f8cf73876b88b
Publikováno v:
Journal of Graph Algorithms and Applications. 23:317-344
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::533d74fdbc377432a64c8be73f777bcf
https://doi.org/10.7155/jgaa.00493
https://doi.org/10.7155/jgaa.00493
Publikováno v:
Journal of Causal Inference, Vol 3, Iss 2, Pp 207-236 (2015)
Estimating causal exposure effects in observational studies ideally requires the analyst to have a vast knowledge of the domain of application. Investigators often bypass difficulties related to the identification and selection of confounders through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7531bb0b12f26b1070208550bb698026
https://doi.org/10.1515/jci-2014-0035
https://doi.org/10.1515/jci-2014-0035
Publikováno v:
Statistics in Medicine. 34:812-823
Marginal structural models are commonly used to estimate the causal effect of a time-varying treatment in presence of time-dependent confounding. When fitting an MSM to data, the analyst must specify both the structural model for the outcome and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44b3166d6ee6305be2632945072193b6
https://doi.org/10.1002/sim.6378
https://doi.org/10.1002/sim.6378
Publikováno v:
Journal of Statistical Computation and Simulation. 85:2059-2071
Alternating logistic regressions (ALRs) seem to offer some of the advantages of marginal models estimated via generalized estimating equations (GEE) and generalized linear mixed models (GLMMs). Via simulation study we compared ALRs to marginal models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75993893f7d9bef487dfa0854fc3f207
https://doi.org/10.1080/00949655.2014.916707
https://doi.org/10.1080/00949655.2014.916707
Publikováno v:
Computational Statistics & Data Analysis. 70:227-240
The effect of the prior distribution of the outcome and exposure models' covariate inclusion indicators in the Bayesian Adjustment for Confounding (BAC) algorithm is studied. The investigative approach is to analytically describe the posterior probab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e915becf5e668017e15fca7a8cf5096
https://doi.org/10.1016/j.csda.2013.09.011
https://doi.org/10.1016/j.csda.2013.09.011
Publikováno v:
Statistical methods in medical research. 27(8)
Estimating causal effects requires important prior subject-matter knowledge and, sometimes, sophisticated statistical tools. The latter is especially true when targeting the causal effect of a time-varying exposure in a longitudinal study. Marginal s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9bf8f131a436290111133c775f7efab
https://pubmed.ncbi.nlm.nih.gov/27920366
https://pubmed.ncbi.nlm.nih.gov/27920366
Autor:
David B. Wolfson, Alain C. Vandal, Lawrence Joseph, Juli Atherton, Xiaojie Zhou, Benoit Charbonneau
Publikováno v:
Canadian Journal of Statistics. 37:495-513
We investigate Bayesian optimal designs for changepoint problems. We find robust optimal designs which allow for arbitrary distributions before and after the change, arbitrary prior densities on the parameters before and after the change, and any log
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a660ed42f7d356de910ce2be88d316d8
https://doi.org/10.1002/cjs.10037
https://doi.org/10.1002/cjs.10037
Autor:
Juli Atherton
Publikováno v:
Statistics & Probability Letters. 79:707-710
We show that an often-used Bayesian optimal design criterion function fits into a standard decision theoretic framework. This suggests a sensible two-stage decision theoretic approach whereby this criterion function is also used for inference once it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b5519955b88d2c513be75264620c403
https://doi.org/10.1016/j.spl.2008.10.017
https://doi.org/10.1016/j.spl.2008.10.017
Publikováno v:
Statistics in Medicine. 34:2676-2677
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::906590faf1b10258497132ca579f3b95
https://doi.org/10.1002/sim.6512
https://doi.org/10.1002/sim.6512