- Oregon State University – College of Health, USA
Living review & NMA: Low-dose aspirin to prevent preeclampsia—optimal dose/timing by risk & setting (LMIC/HIC)
Skills / interests: Risk of Bias assessment, Dissemination / Knowledge Translation, Statistical analysis, Clinical peer review, PICO annotation, Review development, Screening and selecting studies, Using GRADE, Data analysis and organisation, Advocacy, Writing (drafting and editing), Guideline development, Copy-editing and proof-reading, Patient and public input, Summary of Findings tables, Searching for evidence, Methodological peer review, Prioritisation of review topics, Qualitative analysis, Project management, Training or mentoring, Data extraction
Methodological skills / interests: Artificial intelligence, Rapid reviews, Comparing multiple interventions (network meta-analysis and overviews), Information retrieval, Equity, Bias, Individual participant data meta-analysis, Adverse effects, Statistics, GRADEing, Prospective meta-analysis
Help us run a living systematic review + network meta-analysis on aspirin prophylaxis in pregnancy, comparing dose (75–162 mg), start time (<12, 12–16, >16 weeks), and risk strata. Roles: screening, data extraction, ROB2, GRADE, meta-analysis, SoF tables
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Aim: Quantify comparative effectiveness of aspirin regimens for preeclampsia prevention; equity analyses for LMIC/HIC.
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Tasks: Title/abstract screening (Rayyan), full-text eligibility, data extraction (template provided), ROB2, effect size calculation, pairwise + NMA, GRADE/SoF, plain-language summary.
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Skills: Systematic review methods; ROB2; GRADE; stats (R/RevMan/‘netmeta’). Training provided.
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Time: 2–4 hrs/week for 8–10 weeks (living updates quarterly).
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Outputs: Protocol (PROSPERO), preprint, journal submission; named acknowledgements/authorship per ICMJE.
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Methods backbone: Cochrane Handbook; Borenstein et al.; Sutton et al.; IPD-MA guidance (for planned IPD sub-project)
Ideal applicant
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