RT @RicardoNature: "Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences" https://t…
RT @aurora_torresm: Check our new paper wonderfully led by @AlecChristie on the importance of accounting for the bias of study designs in e…
RT @RicardoNature: "Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences" https://t…
@AlecChristie888, it was a pleasure and a honor to be part of such an important and nicely led endeavor!
🚨Paper Alert 🚨 Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings! h
RT @RicardoNature: "Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences" https://t…
RT @aurora_torresm: Check our new paper wonderfully led by @AlecChristie on the importance of accounting for the bias of study designs in e…
RT @RicardoNature: "Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences" https://t…
Check this out # teamcounterfactual @idoimpact
"Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences" https://t.co/xgLM0HNTME Out today in @NatureComms. Outsanding work lead by @AlecChristie888 and building on the @ConservEvidence database. @Port
Check our new paper wonderfully led by @AlecChristie on the importance of accounting for the bias of study designs in evidence synthesis
RT @AlecChristie888: Very pleased my final PhD chapter is now out in @NatureComms, 3 yrs of hard work finally paid off. We quantify the use…
RT @AlecChristie888: Very pleased my final PhD chapter is now out in @NatureComms, 3 yrs of hard work finally paid off. We quantify the use…
Great work Alec!
Very pleased my final PhD chapter is now out in @NatureComms, 3 yrs of hard work finally paid off. We quantify the use & bias of study designs on a large scale by stripping apart impact/intervention datasets into different designs & reanalysing res