Dr Dan Warren

It’s interesting that abandoning p-values and false discovery rates for 2nd generation p-values results in major reductions in decision errors: journals.plos.org/plosone/articl…

Pro tip for writers: Don’t rush the submission step I know you’re exhausted & just want to hit “submit,” but those annoying little details- suggesting reviewers, suggesting editors, explaining your paper in exactly 97 words- can make a real difference Take the time It’s worth it

Woah! Such an important study published in Nature today! Quick thread with some of their key figures! 🧵

Using species distribution and connectivity models, researchers identify key corridors likely to facilitate the continued spread of invasive raccoons across Europe. 🔗 doi.org/10.3897/neobio… #invasivespecies

📖Published📖 In our new research article, Wesselkamp et al. synthesise existing approaches to define empirical forecast limits in a unified framework for assessing ecological predictability and offer recipes for their computation 🌍 buff.ly/ueDiJTO

Lecturer in Ecology and Global Change (University of Leeds): jobs.leeds.ac.uk/vacancy.aspx?r…

A new R package, jumpID, distinguishes long-distance jump dispersal from diffusive spread in #invasivespecies using occurrence data. Its application to the spotted lanternfly in the U.S. identified 152 such jumps from 2014–2022. 🔗 doi.org/10.3897/neobio…

📖Published📖 Schickele et al. introduce CEPHALOPOD, a standardized, highly automated and flexible framework designed to integrate and analyse heterogeneous marine data for multi-species habitat modelling following best practices in the field 🌊 buff.ly/WrYAuO0

What an honour! 😊 🤩 I realised that the famous data platform "Our World in Data" has now our data set of first records of alien species on their platform. I use this platform quite a lot and I am happy and proud to find our data set there 🤩 ourworldindata.org/grapher/global…

📖Published📖 Check out our new Research Article 👉 Agent-based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data buff.ly/6SPv11I

onlinelibrary.wiley.com/doi/10.1111/ge… Huge new @GEB_macro paper looking at acoustic monitoring efforts around the world. The who, what, where, when, and how of passive acoustic monitoring. With >100 authors! "Worldwide soundscapes: a synthesis of passive acoustic monitoring across realms"

"regional species pool bridges spatial and temporal scales from ecological dynamics in landscapes to the long- term processes shaping the biotas of entire biogeographic provinces." onlinelibrary.wiley.com/doi/pdf/10.111…

📖Published📖 PhyBaSE: A Bayesian structural equation model approach to causal inference in phylogenetic comparative analyses. Read the full article here 👇 buff.ly/anb668e

📖Published📖 Rivas et al. introduce Rthoptera, an open-source R package designed for robust analysis of insect acoustic signals 🐜 buff.ly/nsZ8LgA

Awesome paper about the human impact on biodiversity: doi.org/10.1038/s41586…

The gtsummary package in R makes it easy to create clean, publication-ready summary tables for your data. The tbl_summary() function takes a data set and generates well-organized tables that display key statistics like counts, percentages, means, and medians, which is perfect for presenting descriptive statistics in reports, manuscripts, or presentations. ✔️ Streamlines Descriptive Statistics: Quickly generates clear and professional summary tables. ✔️ Customizable: Offers flexible options for labels, decimal places, and formatting. ✔️ Supports Various Data Types: Works with continuous, categorical, and dichotomous variables seamlessly. The visualization below shows a sample table created with tbl_summary(), illustrating its ability to organize and present descriptive statistics effectively. Visualization adapted from the official package website: danieldsjoberg.com/gtsummary/arti… Want to explore more practical tips on Statistics, Data Science, R, and Python? Subscribe to my email newsletter! Learn more: eepurl.com/gH6myT #RStats #datastructure #coding #DataScience #Rpackage

A wide range of conservation actions is shown to reduce a species' extinction risk. But bias towards high-risk species means only a few species show signs of full recovery. 6 times more species have deteriorated than improved in #IUCN status | doi.org/10.1371/journa…

Looking for your first quantitative ecology post-doc? Then get in touch. I will be co-supervising a post-doc with Lourens Swanepoel (based in SA: @Univenofficial). You will have access to many awesome data sets and the focus will be on applying hierarchical models.

Exciting opportunity! Apply now for a jointly-funded lecturer position in Marine Science at @CefasGovUK and @uniofeastanglia A great opportunity to work at the intersection of marine science and policy. vacancies.uea.ac.uk/vacancies/1122… #MarineScience #CefasCareers #MarineScienceJobs

New chapter in Regression Modeling Strategies #rms: ordinal regression generalizes Wilcoxon, log-rank, Kaplan-Meier, Cox PH model, and all common survival time analyses. Semiparametric regression is a unifying concept. hbiostat.org/rmsc/ordsurv #rstats #Statistics