LaTeX templates and examples — Posters

A port of the ELIXIR AH conference poster template to LaTeX, using BAPoster. See https://github.com/exaexa/elixirposter-tex/

A Template for "How to create a WiFi account" with Re2o Created by Hugo 'klafyvel' Levy-Falk Adapted from LianTze Lim's poster Images belong to their authors. Distributed under Creative Commons CC BY 4.0

A LaTeX template to efficently design pretty posters for scientific conferences. Posters are composited of blocks with headings, which can be positioned easily on the page, using absolute or relative positioning. A number of predefined styles can be composed to generate new color schemes and ornaments. (Downloaded from http://www.brian-amberg.de/uni/poster/ and https://github.com/anriseth/baposter)

HTML Cheat Sheet Edited by Michelle Cristina de Sousa Baltazar baposter Landscape Poster This template has been downloaded from: http://www.LaTeXTemplates.com

Created using the baposter Landscape Poster LaTeX Template created by Brian Amberg This template has been downloaded from: http://www.LaTeXTemplates.com Edited by Michelle Cristina de Sousa Baltazar

With Overleaf, edit online instantly this Conference Poster (NIWeek 2014), and download a PDF version. This project is also available on my web site

This is the LaTeX version of the Overleaf Campus Challenge 2016 poster. If you'd like to translate the poster into your own language, you can start by creating a project from this template! To translate this poster, change the language option for both the babel and translator packages. Then add your own OverleafPoster-<lang>.dict file and provide your translations, based on the default OverleafPoster-English.dict.

Information before unblinding regarding the success of confirmatory clinical trials is highly uncertain. Estimates of expected future power which purport to use this information for purposes of sample size adjustment after given interim points need to reflect this uncertainty. Estimates of future power at later interim points need to track the evolution of the clinical trial. We employ sequential models to describe this evolution. We show that current techniques using point estimates of auxiliary parameters for estimating expected power: (i) fail to describe the range of likely power obtained after the anticipated data are observed, (ii) fail to adjust to different kinds of thresholds, and (iii) fail to adjust to the changing patient population. Our algorithms address each of these shortcomings. We show that the uncertainty arising from clinical trials is characterized by filtering later auxiliary parameters through their earlier counterparts and employing the resulting posterior distribution to estimate power. We devise MCMC-based algorithms to implement sample size adjustments after the first interim point. Bayesian models are designed to implement these adjustments in settings where both hard and soft thresholds for distinguishing the presence of treatment effects are present. Sequential MCMC-based algorithms are devised to implement accurate sample size adjustments for multiple interim points. We apply these suggested algorithms to a depression trial for purposes of illustration.

A Poster template with University of Copenhagen logo. Based on the a0poster class was created by Gerlinde Kettl and Matthias Weiser (tex@kettl.de)