Results 191 to 200 of about 378,886 (332)

The Biostatistics Cookbook

, 2002

openalex   +1 more source

Clinician Attitudes Toward Biostatistics [PDF]

, 2007
Nicholas J. Horton
openalex   +1 more source

The Biostatistics of Prediction

Autoimmunity, 2004
openaire   +3 more sources

Digital implementation strategy to increase SGLT2 inhibitor uptake in heart failure: Study design of EMAIL‐HF

ESC Heart Failure, EarlyView.
Abstract Aims The EMAIL‐HF trial aims to evaluate whether a digital guideline implementation strategy can increase and accelerate initiation of sodium‐glucose co‐transporter 2 (SGLT2) inhibitors in patients with heart failure (HF). Methods and results EMAIL‐HF is a pragmatic, registry‐based, randomized controlled trial including patients with a ...
Mariam Elmegaard, Lars Køber, Mads Kristian Ersbøll, Theis Lange, Christian Ditlev Tuxen, Mette Rauhe Mouridsen, Trine Kiilerich Lauridsen, Jens Jakob Thune, Peter Godsk Jørgensen, Morten Lamberts, Nadia Paarup Dridi, Peter Bonfils, Morten Petersen, Nis Ottesen Stride, Anders Barasa, Jesper Jensen, Caroline Garred, Emil Fosbøl, Emil Wolsk, John McMurray, Mark Petrie, Morten Schou   +21 more
wiley   +1 more source

Cardiac rehabilitation and health‐related quality of life in preserved ejection fraction heart failure: A meta‐analysis

ESC Heart Failure, EarlyView.
Abstract Aims The study aims to evaluate the effects of exercise‐based cardiac rehabilitation (ExCR) on the health‐related quality of life (HRQoL) in people with heart failure preserved ejection fraction (HFpEF). Methods This study is a systematic review and meta‐analysis.
Chenyao Ding, Yawen Gao, Rod S. Taylor
wiley   +1 more source

Correction: Pediatric pulmonary arterial hypertension: global epidemiology and disease burden during the period 1990 to 2021. [PDF]

Front Cardiovasc Med
Chen Y, Zhang R, Zheng Y, Li C, Wang X, Wen Z, Li F.   +6 more
europepmc   +1 more source

Machine learning for causal inference in Biostatistics.

Biostatistics, 2019
Sherri Rose, D. Rizopoulos
semanticscholar   +1 more source

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

European Journal of Heart Failure, EarlyView.
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo, Emmanuel Bresso, Kenneth Dickstein, Bertram Pitt, John G.F. Cleland, Stefan D. Anker, Carolyn S.P. Lam, Mandeep R. Mehra, Dirk J. van Veldhuisen, Barry Greenberg, Faiez Zannad, Nicolas Girerd   +11 more
wiley   +1 more source

WS-01: Clinical trials and biostatistics workshop: introduction and overview [PDF]

, 2007
John Crowley
openalex   +1 more source

The transcriptional profile of iron deficiency in patients with heart failure: Heme‐sparing and reduced immune processes

European Journal of Heart Failure, EarlyView.
The analysis workflow, findings and potential clinical consequences of iron deficiency in heart failure (HF). From 881 patients with worsening HF, whole blood transcriptome was analysed using the Affymetrix Human Transcriptome Array (HTA) 2.0. Subjects were stratified according to their transferrin saturation (TSAT) levels as iron‐deficient (TSAT <20%)
Niels Grote Beverborg, Ridha I.S. Alnuwaysir, George Markousis‐Mavrogenis, Martijn F. Hoes, Haye H. van der Wal, Simon P.R. Romaine, Mintu Nath, Andrea Koekoemoer, John G.F. Cleland, Chim C. Lang, Stefan D. Anker, Kenneth Dickstein, Marco Metra, Leong L. Ng, Dirk J. van Veldhuisen, Adriaan A. Voors, Nilesh J. Samani, Peter van der Meer   +17 more
wiley   +1 more source