Editor Register

Apply to join the IJHS editorial leadership.

Experienced researchers in biostatistics, epidemiology, or health data science are encouraged to apply.

Applicants should provide expertise areas, recent publications, and prior editorial or review experience.

We encourage authors to document assumptions and sensitivity analyses so conclusions remain robust across populations.

Explain how missing data were handled and why chosen strategies were appropriate for the study design.

Report software versions and packages to support reproducibility across analytic environments.

Use tables and figures to communicate effect sizes, uncertainty, and subgroup comparisons clearly.

Editorial roles require timely decisions and adherence to ethics policies.

Transparent reporting of data provenance and governance supports reproducibility and ethical compliance in health statistics.

When presenting predictive models, report calibration, discrimination, and decision curve metrics where relevant.

When combining datasets, document linkage procedures and quality checks for matching accuracy.

If external validation is performed, describe population differences and implications for generalizability.

Provide a brief CV, areas of expertise, and recent publications.

Qualified applicants are reviewed by the editorial office.

Well structured manuscripts accelerate peer review and help readers apply statistical insights to real world health decisions.

Define statistical terminology clearly for multidisciplinary readers who apply methods in clinical settings.

Highlight ethical safeguards for patient privacy, especially when working with linked or sensitive datasets.

Describe any model tuning or hyperparameter selection to support reproducibility in machine learning workflows.

Clear statistical reporting improves the interpretability of health evidence for clinicians, policymakers, and research funders.

Provide uncertainty measures such as confidence intervals or credible intervals for key estimates and model outputs.

Summaries that connect statistical findings to health outcomes improve translation to policy and practice.

Include brief rationale for study design choices to support reviewer understanding and methodological transparency.