Top Tweets for #nonprobability
Who are these Nature and Science reviewers who take strong #causal conclusions using predictive models with large #nonprobability datasets in #ecology seriously?
Given renewed interest in #missingdata in #ecology, time to repost our #ROBITT trends tool for explicitly declaring research goals and potential #riskofbias resulting from #nonprobability #sampling in #biodiversity #data
New #Working #Paper! In this paper we extend standard IPW, MI and DR estimators for #nonprobability #samples to account for distributional discrepancies. Simple but powerful changes lead to efficient estimators that are more robust to model misspecification. Links are below!
Nice work -- wonderful to see serious engagement with #riskofbias by those using #nonprobability samples for inference in #ecology! 👍
📢Our @PNASNews paper is out, a tale of flies and mountains 🪰🏔️
Specialised parasitic flies are declining at high elevation from #climatechange, and so is their ability to control insect outbreaks.
What risks for mountain ecosystems?
https://t.co/V0loEa3ptU
@L_Santini_Eco
Summer holidays, but some work in the @NCN_PL grant can be summarised. During the year @ukasz93196585 worked on the R package https://t.co/fYqzXYoXxP for non-probability sampling, implementing and extending new approaches from the literature.
If you are using a #nonprobability sample to say something about #biodiversity change, the burden of proof is on you to convince everyone why your inferences should be trusted, not on everyone else to disprove you #ecology
Like to get the complete picture of the debate about #probability versus #nonprobability sample surveys?
@CarinaCornesse & @OlgaMaslovskaya teach you everything you need to know to choose an appropriate sample type for your study.
➡️ https://t.co/e5VDfFwk7P
#GESISsummerschool
𝗥𝗲𝗮𝗱𝗶𝗻𝗴 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝗻𝘁𝗵: The latest issue of 𝗦𝘂𝗿𝘃𝗲𝘆 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆 - special discussion paper by 𝗖𝗵𝗮𝗻𝗴𝗯𝗮𝗼 𝗪𝘂 on inference with non-probability survey samples
https://t.co/tXMXK24Fbn
@IntStat @UWaterloo
#nonprobability
Only 2 days left until our third #EMOS webinar❗️
🔵When? This Wednesday, 18/1, at 14:00
🔵What? #Nonprobability #sampling and #bigdata
🔵Who? Prof. Dr. Ralf Münnich (@RMuennich), University of Trier (@TrierUni)
🔵Where? Zoom - Register now at https://t.co/ojK8ldo8TY
Happy New Year #2023! After two great contributions in 2022, the #EMOS webinar series continues on 18 January with Prof. Ralf Münnich sharing insights on #nonprobability #sampling and #BigData
Don't miss it - secure your place now ➡️ https://t.co/ojK8ldo8TY
Happy New Year and thank you for being part of our #EMOS community!
The EMOS webinar series will continue on 18 January with a session by Prof. Ralf Münnich (@RMuennich of @TrierUni) on #nonprobability #sampling and #BigData
Register now ➡️https://t.co/ojK8ldo8TY
I kindly invite all interested in #nonprobability #samples to the lecture by dr Shu Yang (@NCState) entitled “Data integration: a new paradigm for survey statistics” that will be held on this Friday. For details see https://t.co/AEmmISMTYP (cc @tslumley @ProfPeterLynn @stephnie)
👏👏👏Congrats to Carina Cornesse and Annelies Blom, @ddutwin @JonKrosnick @edithdeleeuw and more to the Review of Conceptual Approaches and Empirical Evidence on #Probability and #Nonprobability Sample https://t.co/e3IaoosBc4. Result from our Prob Nonprob workshop. #openaccess
Richard Valliant compares alternatives for estimation from #nonprobability samples https://t.co/1qzMq8WseL
To all survey practioners: New special issue on #Probability and #Nonprobability #Sampling: Sampling hard-to-reach survey populations https://t.co/JvsSDVFrqQ. @MS_Utrecht @ECPRMethods @SurveyPractice @ESS_Survey @EuracMinorities @ValuesStudies @evs_values @ISSP_Org @ESRAsurvey
Must read! Aufschlussreicher Beitrag von Prof. Schnell zur (Nicht-)Repräsentativität von ausschließlich online durchgeführten Bevölkerungsumfragen @m_forschung_de @unidue #repräsentativität #zufallvswillkür #nonprobability #statistik
https://t.co/rSnsmc5RLI
When to use a probability versus a nonprobability sample
#MRX #NewMR #Probability #NonProbability #MOE
https://t.co/KaPc1oUYur
New Math For #Nonprobability Samples https://t.co/pZik8KUid7 #LoveStats #MRX #marketingresearch #passive #probability
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