Before governments or school systems treat rising autism counts as evidence of a changing incidence and reallocate major resources, require a published robustness map that decomposes observed prevalence change into components (diagnostic substitution/accretion, registry/coverage changes, and residual incidence) using sibling controls, negative controls, E‑values and sensitivity bounds.
— Demanding standardized, auditable decompositions would prevent policy overreactions, target services where true need increased, and reduce politicized misinterpretation of administrative counts.
2024.10.30
88% relevant
The article argues the autism increase is real and exponential and cites administrative series (California Developmental Services, CDC ADDM) while criticizing alternative explanations based on diagnostic change — exactly the sort of claim that calls for 'robustness maps' (systematic checks of registry, diagnostic, and ascertainment effects across time and place) before using prevalence trends to guide policy.
2015.01.05
75% relevant
By decomposing drivers of observed prevalence growth into measurable registry events, the paper exemplifies the kind of robustness mapping—showing how surveillance, coding, and service access changes shift trends—that such methodological standards aim to produce.
2009.10.04
100% relevant
King & Bearman’s 2009 California analysis estimated ~26% of the observed prevalence rise was due to diagnostic change via a documented pathway (MR→autism), illustrating the value of quantifying diagnostic‑practice effects before acting.
← Back to All Ideas