Most of this article concerns the uses of LARS and the two related methods in the age-old, " somewhat notorious, " problem of " [a]utomatic model-building algorithms.. . " for linear regression. In the following, I will confine my comments to this notorious problem and to the use of LARS and its relatives to solve it. 1. The implicit assumption. Suppose the response is y, and we collect the m p...

Vaccination of children – summary and conclusions from a systematic review The full review can be found in Acta Pædiatrica 2010; 99: s461 Sven-Arne Silfverdal, Lennart Nilsson, Margareta Blennow, Rose-Marie Carlsson, Lars Å Hanson, Anders Lindberg, Lars Lindquist, Margaretha Magnusson, Anders Norlund, Olof Nyrén, Per Olcén, Patrick Olin, Juliette Säwe, Ann Söderström, Birger Trollfors, Åke Örtq...

Improved outcomes in patients with ST-elevation myocardial infarction during the last 20 years are related to implementation of evidence-based treatments: experiences from the SWEDEHEARTregistry 1995–2014 Karolina Szummer*, Lars Wallentin, Lars Lindhagen, Joakim Alfredsson, David Erlinge, Claes Held, Stefan James, Thomas Kellerth, Bertil Lindahl, Annica Ravn-Fischer, Erik Rydberg, Troels Yndige...

1 Introduction 2 Advantages of using M. truncatula to study resistance to fungal necrotrophs 3 Fungal pathogens of M. truncatula 4 New pathogens and isolate validation 5 References 1 Introduction Fungal diseases in plants are almost exclusively members of the phylum Ascomycota and subphylum Pezizomycotina. All common crop plants are susceptible to fungal disease of one kind or another. Spore pr...

BACKGROUND Laparoscopic anti-reflux surgery (LARS) is generally the treatment of choice for patients with gastroesophageal reflux disease (GERD). This report describes our experiences in performing LARS on patients with GERD, and focuses retrospectively on the pathophysiology of individual patients and the current status of Japanese patients who have undergone LARS. We demonstrate that patients...

We are interested in parallelizing the least angle regression (LARS) algorithm for fitting linear models to high-dimensional data. consider two parallel and communication avoiding versions of basic LARS algorithm. The algorithms have different asymptotic costs practical performance. One offers more speedup other produces accurate output. first is bLARS, a block version algorithm, where we updat...