Editorial Policies

Policies that safeguard integrity and transparency.

IJHS maintains editorial independence to ensure decisions are based on scientific merit and methodological rigor.

IJHS follows international publication ethics guidelines and maintains editorial independence.

The journal follows clear procedures for handling suspected plagiarism or data fabrication.

Appeals and disputes are handled with documented, impartial review.

Editorial decisions are independent of commercial influence.

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

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

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

Conflicts of interest, funding disclosures, and data transparency requirements are enforced consistently.

Post publication updates are issued to maintain accuracy and transparency in the scholarly record.

Policy updates are communicated to editors and reviewers on a regular cycle.

Reviewer assignments and decisions are documented for accountability.

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

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

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

Single blind peer review is used with editorial oversight. Reviewers assess statistical validity and reporting transparency.

Corrections and retractions are issued when needed to protect the integrity of the record.

Policy updates are communicated to authors and reviewers to ensure consistent expectations.

Suspected misconduct is investigated following established ethics guidance.

Authors may request policy clarifications through the editorial office.

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

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

If data access is restricted, describe the approval process for qualified researchers and expected timelines.

We follow international publication ethics standards. Misconduct is investigated promptly and documented.

Appeals are reviewed by the editorial office using documented criteria and responses.

Data availability and ethics approvals must be documented for all human data studies.

Reviewer confidentiality is enforced to protect the integrity of peer review.

Policy adherence is monitored to ensure consistent editorial practice.

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

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

For time series analyses, describe seasonality handling and any interventions or policy changes considered.

Corrections, retractions, or expressions of concern are issued when needed to protect the scholarly record.

Editors and reviewers must avoid conflicts of interest and disclose relationships that could influence decisions.

Plagiarism checks are conducted to protect the integrity of the record.

Corrections are linked to original articles to maintain transparency.

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

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

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

When reporting health disparities, describe how social determinants and contextual factors are measured.

Authors are expected to provide honest reporting and data availability statements aligned with ethical standards.

Authorship changes require written consent from all contributors.

Ethics concerns are documented with clear audit trails.

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

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

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

Include data dictionary summaries or variable definitions for key covariates to improve interpretability.