A practical guide to methods controlling false discoveries in computational biology
Keegan Korthauer, Patrick K. Kimes, Claire Duvallet et al. · Genome Biology · 2019
Full textCC BY
Mathematics
Filters3 filters applied
Topic
Status
Year
Readable here
Study type
Licence
Statistical determination of synergy based on Bliss definition of drugs independence
Eugene Demidenko, Todd W. Miller · PLOS ONE · 2019
Full textCC BY
Mathematical Models of Cancer: When to Predict Novel Therapies, and When Not to
Renee Brady, Heiko Enderling · Bulletin of Mathematical Biology · 2019
Full textCC BY
Hierarchical generalized additive models in ecology: an introduction with mgcv
Eric J. Pedersen, David L. Miller, Gavin L. Simpson et al. · PeerJ · 2019
Full textCC BY
PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems
Ahmadreza Ghaffarizadeh, Randy Heiland, Samuel H. Friedman et al. · PLOS Computational Biology · 2018
Full textCC BY
A Web-Based System for Bayesian Benchmark Dose Estimation
Kan Shao, Andrew J. Shapiro · Environmental Health Perspectives · 2018
Abstract only
Unconditional or Conditional Logistic Regression Model for Age-Matched Case–Control Data?
Chia-Ling Kuo, Yinghui Duan, James Grady · Frontiers in Public Health · 2018
Full textCC BY
Key design considerations for adaptive clinical trials: a primer for clinicians
Kristian Thorlund, Jonas Haggstrom, Jay JH Park et al. · BMJ · 2018
Full textCC BY
Real-world evidence: How pragmatic are randomized controlled trials labeled as pragmatic?
Rafael Dal-Ré, Perrine Janiaud, John P. A. Ioannidis · BMC Medicine · 2018
Full textCC BY
Directed acyclic graphs: a tool for causal studies in paediatrics
Thomas C Williams, Cathrine C Bach, Niels B Matthiesen et al. · Pediatric Research · 2018 · Review
Abstract only
Power Analysis and Effect Size in Mixed Effects Models: A Tutorial
Marc Brysbaert, Michaël Stevens · Journal of Cognition · 2018
Full textCC BY
Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression
Jennifer F. Bobb, Birgit Claus Henn, Linda Valeri et al. · Environmental Health · 2018
Full textCC BY
A comparison of multiple imputation methods for missing data in longitudinal studies
Md Hamidul Huque, John B. Carlin, Julie A. Simpson et al. · BMC Medical Research Methodology · 2018
Full textCC BY
Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data
Haohan Wang, Benjamin J Lengerich, Bryon Aragam et al. · Bioinformatics · 2018
Full textCC BY
Outcome-sensitive multiple imputation: a simulation study
Evangelos Kontopantelis, Ian R. White, Matthew Sperrin et al. · BMC Medical Research Methodology · 2017
Full textCC BY
Four reasons to prefer Bayesian analyses over significance testing
Zoltan Dienes, Neil Mclatchie · Psychonomic Bulletin & Review · 2017
Full textCC BY
Hierarchical statistical techniques are necessary to draw reliable conclusions from analysis of isolated cardiomyocyte studies
Markus B Sikkel, Darrel P Francis, James Howard et al. · Cardiovascular Research · 2017
Full textCC BY
Spatial competition constrains resistance to targeted cancer therapy
Katarina Bacevic, Robert Noble, Ahmed Soffar et al. · Nature Communications · 2017
Full textCC BY
An automated sampling importance resampling procedure for estimating parameter uncertainty
Anne-Gaëlle Dosne, Martin Bergstrand, Mats O. Karlsson · Journal of Pharmacokinetics and Pharmacodynamics · 2017
Full textCC BY
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
Sander Greenland, Stephen J. Senn, Kenneth J. Rothman et al. · European Journal of Epidemiology · 2016
Full textCC BY