Service · Statistical Analysis Plan

Statistical Analysis Plans for wearable & digital endpoints

A wearable SAP lives or dies on decisions made before a single model runs: how the endpoint is defined, what counts as a valid wear day, and how missing data is handled. We write SAPs that pre-specify those choices defensibly, so the analysis survives review instead of being rebuilt after it.

What a wearable SAP must nail

The decisions that determine the result

Endpoint definition

Precise, defensible definitions for the chosen sensor metrics — what is measured, over what window, and how it is aggregated.

Wear-time & valid-day rules

Pre-specified compliance thresholds and valid-day criteria, with the evidence base behind them — the choice that quietly decides whether the endpoint is powered.

Estimands (ICH E9(R1))

Treatment effect framed with the estimand structure reviewers now expect, including how intercurrent events and non-wear are handled.

Primary model

MMRM / mixed-effects specification, covariates, and handling of repeated daily/longitudinal measures.

Missing-data strategy

A characterized missingness mechanism and a matched handling approach (not complete-case by default), with a sensitivity battery.

Reliability & interpretation

Where relevant, ICC/MDC and MCID framing so a detected change is both real and meaningful.

Two ways to engage

We can write it, or review yours

Already have a SAP drafted? We also provide independent SAP review and commentary: a sensor-data specialist marks up the wearable-endpoint sections (endpoint definition, wear-time and inclusion/exclusion rules, the primary model, missing-data handling) and flags what a reviewer would question before it locks.

Why pre-specification matters

Get it right before the data locks

Major trials have seen wearable analyses fall apart at review because compliance and missing-data handling weren't planned up front. Pre-specifying the wear-time threshold, the estimand, and the sensitivity battery is what turns a promising sensor signal into a regulatory-grade endpoint. This work pairs naturally with platform-specific analysis for APDM Opal, Garmin & Fitrockr, and actigraphy.

Planning a trial with a wearable endpoint?

Best engaged before the SAP locks. A short call scopes the endpoint, the data, and the plan.

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