Update Your Beliefs With Evidence

The extent to which a model captures relevant structure and aligns with substantive knowledge, yielding statistically sound, scientifically relevant conclusions that are a reliable basis for decisions — including valid causal interpretation and accurate estimation. (Reconciling inference, robustness, and real decisions.)

started 0 · finished 0 (claimed) · not yet measured (verified) · no data (n<5)

Derived from: Update Your Beliefs With EvidenceT1

Ordered tasks (15) — this is what a project auto-creates

#1Prior SpecificationHighTo Do
Turn what you already know into an explicit probability distribution before seeing the data, and how that choice shapes everything downstream.
Assignee: Unassigned · due 0 days after project start · takes 14 days
#2Probabilistic Representation of UncertaintyMediumTo Do
Reframes uncertainty as a quantity you carry through the whole analysis rather than a caveat you attach at the end.
Assignee: Unassigned · due 14 days after project start · takes 7 days
#3Likelihood-Based Evidence UpdatingMediumTo Do
The mechanics of combining prior and likelihood via Bayes' theorem, and how belief revision compounds as evidence arrives in sequence.
Assignee: Unassigned · due 21 days after project start · takes 7 days
#4Computational Power and DiagnosticsMediumTo Do
Address the compute and the diagnostic routines you need to fit models and know whether the fitting worked.
Assignee: Unassigned · due 28 days after project start · takes 7 days
#5Generative and Causal ModelingMediumTo Do
Writing an explicit story of how your data were generated and using causal diagrams to decide what belongs in the model and what a parameter actually means.
Assignee: Unassigned · due 35 days after project start · takes 7 days
#6Iterative Model DevelopmentMediumTo Do
Lays out the discipline of growing a model from a simple, understood baseline toward complexity, one comprehensible step at a time.
Assignee: Unassigned · due 42 days after project start · takes 7 days
#7Predictive Model Comparison and Overfitting ManagementMediumTo Do
Judge models by their ability to predict new data rather than to fit the data you have, using cross-validation, information criteria, and regularization.
Assignee: Unassigned · due 49 days after project start · takes 7 days
#8Computational TrustLowTo Do
Focus on about establishing warranted confidence that your posterior samples actually approximate the distribution you intended to compute.
Assignee: Unassigned · due 56 days after project start · takes 3 days
#9Transparent Documentation and ReproducibilityLowTo Do
The engineering practices that let someone else — including future you — rerun your analysis and get the same result.
Assignee: Unassigned · due 59 days after project start · takes 3 days
#10Analyst EfficiencyLowTo Do
Focus on about moving through the analysis workflow with purpose — exploring model space and resolving issues without stalling in dead ends.
Assignee: Unassigned · due 62 days after project start · takes 3 days
#11Predictive AccuracyLowTo Do
Judge a belief by how well it forecasts data it has never seen, and why that test is stricter than fitting the data you already have.
Assignee: Unassigned · due 65 days after project start · takes 3 days
#12Model UnderstandingMediumTo Do
Focus on about knowing what your model assumes, what its parameters mean, and where it breaks — the comprehension that turns output into insight.
Assignee: Unassigned · due 68 days after project start · takes 7 days
#13Inferential Validity and Model AdequacyHighTo Do
Define the destination: conclusions that are statistically sound, causally interpretable, and a reliable basis for the decision you face.
Assignee: Unassigned · due 75 days after project start · takes 14 days
#14Robustness of Scientific ConclusionsMediumTo Do
Tell whether a scientific claim will survive resampling and reasonable changes to your assumptions, so you know which conclusions to trust and which to hold loosely.
Assignee: Unassigned · due 89 days after project start · takes 7 days
#15Decision EffectivenessLowTo Do
Connect belief updating to the choices it is supposed to improve, showing how to judge inference by the real-world outcomes it produces under uncertainty.
Assignee: Unassigned · due 96 days after project start · takes 3 days