Medical Research Statistics Insights & Expertise
Expert insights, practical guides, and best practices in biostatistics and medical research methodology from our team of statistical consultants.
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Featured Articles
Understanding Sample Size Calculation in Clinical Trials
How to justify trial sample size using power, target differences, uncertainty, and the planned analysis, with a reproducible worked example.
Bayesian Methods in Medical Research: When and Why to Use Them
Understand Bayesian updating, credible intervals, prior evidence, and the checks needed before choosing a Bayesian analysis or trial design.
Latest Articles
Decide whether a boundary change permits an area trend
Separate population change inside an area from a change in the territory counted.
Put two ACS income estimates in the same dollar year
Document the price adjustment and its direction before interpreting changes in income or costs.
Trace a Census correction through a published analysis
Decide which extracts, derived results and reporting artifacts must change when a source issues an erratum.
Turn an ACS user note into a study-specific limitation
Map a methodological notice to the affected period, population and result rather than copying a generic disclaimer.
Diagnose an absent ACS table before treating it as zero
Distinguish unpublished cells, unsupported geographies, suppressed estimates and genuinely measured zeros.
Choose a survey period for a community health indicator
Decide whether a single year or a five-year period can answer a local planning question before downloading ACS data.
Carry survey replicates through a derived estimate
Recompute the complete statistic in every aligned ACS variance replicate before estimating its uncertainty.
Assemble an ACS table file without losing its geographic keys
Rebuild a bulk extract with table labels, geography identifiers, margins and annotations preserved.
Avoid counting an ACS subtotal and its children twice
Use the indentation and universe of an ACS table shell to build a defensible numerator.
Test a difference between two independent ACS estimates
Use the uncertainty of a difference, rather than overlap of two separate intervals, to compare aggregate survey estimates.
Build Research Table Headers That Retain Their Meaning When Read Linearly
Use explicit row and column relationships instead of relying on visual position, merged cells, or color.
Balance assay batches before processing samples
Keep biological comparisons from becoming inseparable from plates, runs or processing dates.
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