Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
Taking causal inference to the extreme!
Web application to run meta-analyses
Clinical causal inference tutorial with R: DAGs, propensity scores, IPW, double robustness, TMLE, and E-values for observational studies and target trials
Course materials for "Biostatistics: Case Studies"
Implementation for the paper "Detecting critical treatment effect bias in small subgroups"
Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"
Anonymously aggregated analyses on the relationships between thousands of symptoms and potential factors.
Accounting for hidden confounders in estimates of dose-response curves from observational data.
A Critical Appraisal Plot Visualiser for Risk of Bias Assessments in Systematic Reviews and Meta-Analyses
A Traffic light Plot Visualiser for Newcastle–Ottawa Scale (NOS) risk-of-bias assessments for Meta-analysis.
Reports intended to help you and your physician to gain insight into the root causes and effective solutions to help you minimize your symptoms.
Obspy code that generates continuous spectrograms from FDSN listed seismic stations.
Book about causal inference
Maurice Zeegers / Observational Studies
Spatial Context Causal Adjustment (SCCA) diagnostic workflow for geographic observational studies
Open Source Tool for Human Affect Recording inspired by Human Affect Recording Tool - Implemented with Django for most compatibility
Atropos Health — On-demand real-world clinical evidence (Green Button)
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