Results 151 to 160 of about 1,643 (174)

Enhancing DHA supplementation adherence: A Bayesian approach with finite mixture models and irregular interim schedules in adaptive trial designs. [PDF]

Stat Methods Med Res
Dutta S, Boyd S, Carlson SE, Christifano DN, Lee GT, Smith SA, Gajewski BJ.   +6 more
europepmc   +1 more source

Systematic Literature Review and Network Meta-Analysis of Clinical Efficacy and Safety of Topical Treatments for Patients with Atopic Dermatitis. [PDF]

Dermatol Ther (Heidelb)
Murota H, Nakahara T, Wang X, Matsukawa M, Takeda H, Kondo T, Yamato K.   +6 more
europepmc   +1 more source

Patients' Preferences for Bone-Anchored Prostheses After Lower-Extremity Amputation: A 2-Center Discrete Choice Experiment in The Netherlands (PREFER-BAP-1). [PDF]

J Bone Joint Surg Am
Saleib GM, Jonker MF, Van Vledder MG, Verhofstad MHJ, Paping MA, Leijendekkers RA, Van Waes OJF.   +6 more
europepmc   +1 more source

Clinical outcomes of treatments for patients with refractory metastatic colorectal cancer: a systematic literature review and network meta-analysis. [PDF]

Ther Adv Med Oncol
Taieb J, Yahiaoui S, Choucair E, Yao W, Hauch O, Akers KG, Frederickson AM, Zaanan A.   +7 more
europepmc   +1 more source

Bayesian Approaches in Oncology Using R and OpenBUGS

, 2020
Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and ...
Atanu Bhattacharjee
exaly   +2 more sources

Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping

Spatial and Spatio-temporal Epidemiology, 2015
The recently developed R package INLA (Integrated Nested Laplace Approximation) is becoming a more widely used package for Bayesian inference. The INLA software has been promoted as a fast alternative to MCMC for disease mapping applications.
Rachel Carroll, Christel Faes, Russell S Kirby   +2 more
exaly   +2 more sources

Modelling and estimating heterogeneous variances in threshold models for ordinal discrete data via Winbugs/Openbugs

Computer Methods and Programs in Biomedicine, 2010
Analysis of discrete repeated outcomes is an important issue in biomedical studies. The aim of this paper is to propose a flexible and parsimonious model to account for heterogeneous variances for discrete outcomes.
Jean-Louis Foulley, Florence Jaffrezic
exaly   +2 more sources

BRugs/OpenBUGS

, 2021
Andrew B. Lawson
exaly   +2 more sources

Introduction to R and OpenBUGS

, 2020
Atanu Bhattacharjee
exaly   +2 more sources

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Bayesian Analysis for Multiple-baseline Studies Where the Variance Differs across Cases in OpenBUGS

Developmental Neurorehabilitation, 2021
Eunkyeng Baek
exaly