SEER Cancer Registry Studies | Cohira Clinical Research

What it is

A national cancer registry, patient by patient.

SEER (Surveillance, Epidemiology, and End Results) is the US National Cancer Institute's programme of population-based cancer registries. Since 1975 it has recorded every new cancer in its catchment areas, now close to half of the US population, with demographics, primary site and histology, stage at diagnosis, first-course treatment, and vital status updated every year.

What it is built for

Scale, millions of cancer cases, followed for survival since 1975.

Design, survival and competing-risk analysis, conditional survival, treatment effectiveness in trial-excluded groups, nomogram development and validation.

Limits, no recurrence, comorbidity, or systemic-therapy detail; treatment is coded broadly, so questions are designed around that.

How it works

The method, in plain terms.

01

Define the cohort

ICD-O-3 site, stage, years

02

Harmonise staging

Across AJCC editions

03

Describe

Rates, stage, treatment

04

Survival

Kaplan-Meier, Cox

05

Competing risks

Fine-Gray models

06

Model & validate

Nomograms, calibration

How you benefit

Why authors start here.

Decades of follow-up, ready now. Survival questions that would take a centre twenty years to answer are already recorded.
Rare cancers become analysable. Population coverage makes uncommon sites and histologies large enough to study.
Beyond the trial population. Real-world effectiveness in the elderly, in rare stages, and in groups trials exclude.
You stay the author. We design and run the study with you to ICMJE standards.

The project, step by step

How a SEER study runs with Cohira.

Start a SEER study →

1

Scope the question

We turn your idea into a survival, competing-risk, or prognostic question SEER can actually answer.

2

Protocol & codes

We pre-specify the cohort, codes, exclusions, outcomes, covariates, and the modelling plan.

3

Extract & clean

We pull the extract, harmonise staging across editions, and document every exclusion.

4

Analysis

Survival, competing-risk, and (where planned) nomogram development with validation, in reproducible R code.

5

Manuscript

We draft a clear paper with you, tables, survival curves, calibration plots, and honest limitations.

6

Submit & revise

We shortlist the right journals, package the submission, and answer reviewers with you to a decision.

Published examples

What SEER studies look like in print.

Independent, peer-reviewed examples of what this route can produce.

JAMA DermatologyComparative study

Effect of radiation therapy on survival in patients with resected Merkel cell carcinoma

Mullen JT, et al. · 2013

A SEER comparison of adjuvant radiotherapy versus surgery alone, adjusted for stage and patient factors.

View in journal →

Lung CancerComparative study

Improved survival with postoperative radiotherapy in thymic carcinoma: a propensity-matched SEER analysis

Lim YJ, et al. · 2017

Propensity-matched SEER cohorts comparing survival with and without radiotherapy, the design a registry supports best.

View in journal →

N Engl J MedIllustrative example

The effect of advances in lung-cancer treatment on population mortality

Howlader N, et al. · 2020

SEER incidence and survival data showed population-level lung-cancer mortality falling faster than incidence as targeted therapies arrived.

View in journal →

CA Cancer J ClinStatistics report

Cancer treatment and survivorship statistics, 2022

Miller KD, et al. · 2022

SEER-based survival and prevalence estimates underpin the most-cited survivorship statistics in oncology.

View in journal →

N Engl J MedSpecial report

Epidemiologic signatures in cancer

Welch HG, et al. · 2019

Four decades of SEER incidence and mortality trends used to distinguish real changes in cancer burden from overdiagnosis.

View in journal →

These are independent published studies, shown to illustrate what SEER makes possible, they are not Cohira's work. We help you design and publish studies of comparable rigor.

Pricing

One fee, from idea to publication.

Database study, idea to publication

Protocol, analysis with reproducible code, manuscript, journal shortlist, submission, and reviewer responses.

$1,800per study

Per project, never per author. Journal fees and database access are billed at cost. Your week-by-week timeline is written into the free feasibility note before you pay. Booking more than one study? 10% off the second, 15% off from the third. Acceptance Guarantee & group pricing →

More study types

TriNetX NIS / real-world data NRD readmissions Global Burden of Disease UK Biobank AI & ML prediction models Meta-analysis Network meta-analyses Diagnostic accuracy meta-analyses Narrative reviews Cross-sectional studies Your clinical data Single stages

Cancer outcomes from decades of follow-up.

A national cancer registry, patient by patient.