ClickStats: Author Guidelines

ClickStats is an international peer-reviewed journal dedicated to publishing high-quality research in the field of statistics and data science. The journal welcomes original research articles, review articles, and other types of scholarly contributions that advance the theory and application of statistical methods across disciplines.

I. Manuscript Types

ClickStats accepts the following categories of manuscripts:

1. Research Article
   Original contributions presenting novel statistical methodologies, models, or data analysis techniques, supported by rigorous theoretical development and/or empirical validation. Manuscripts should have a clearly defined objective, sound methodology, and well-supported conclusions.

2. Review Article
   Comprehensive, critical assessments of statistical topics, methodologies, or application domains. These articles should summarize the current state of the art, identify knowledge gaps, and propose future research directions.

3. Short Communication
   Concise reports of preliminary findings, novel theoretical insights, or methodological innovations that are of significant interest but may not warrant a full-length article. Short communications should emphasize originality and timeliness.

4. Perspective Article
   Thought-provoking essays presenting expert opinions, emerging trends, or conceptual frameworks in statistics. Authors may reflect on methodological challenges or future directions based on their research experience.

5. Data Article
   Descriptions of important statistical datasets, including survey design, data cleaning, structure, and potential applications. These should offer sufficient detail to support reuse and replication by the broader research community.

II. Content Requirements

1. Length:

   • Research Articles: 5,000–8,000 words

   • Review Articles: up to 10,000 words

   • Short Communications and Perspective Articles: typically 2,000–4,000 words

   • Data Articles: 3,000–6,000 words

2. Originality:
   Submissions must be original, unpublished work not under consideration elsewhere. Plagiarism, duplicate submission, or self-plagiarism will result in immediate rejection.

3. Figures and Tables:

   • Must be clear, labeled appropriately, and embedded in the manuscript.

   • Resolution: minimum 300 dpi

   • If reusing published content, proper citation and permissions are required.

III. Format Requirements

1. File Format:
   Manuscripts should be submitted in Microsoft Word (.doc/.docx) format. 

2. Author Information:
   Manuscript must include the following:

   • Full name, Institutional affiliation, Email address

IV. Submission Process

Submit manuscripts through our online platform.
 

1. Submission Checklist:

   • Manuscript file (Word format)

   • Author bio(s)

   • Figures/tables embedded or submitted separately if needed

   • Any required permissions for reused materials

V. Peer Review Process

1. Initial Screening:
   Within 7 business days, manuscripts are screened for relevance, completeness, and adherence to submission requirements.

2. External Peer Review:
   Submissions passing the initial screening are sent to 2–3 independent experts in the field. The review period is typically 1–2 months.

3. Editorial Decision:
   Based on the reviewers’ feedback, the editorial board will render a decision (accept, revise, or reject) and notify the authors via email and the submission system.

VI. Open Access and Copyright

ClickStats is published under an Open Access model and follows the Creative Commons Attribution (CC BY) license.

• Authors retain copyright of their work.

• By submitting, authors grant the journal non-exclusive rights to publish, distribute, and edit the content for academic purposes.

VII. Call for Papers

We welcome ongoing submissions of high-quality articles in all areas of theoretical, applied, and computational statistics, including but not limited to:

• Statistical modeling and inference

• Machine learning and data mining

• Bayesian methods

• Biostatistics and epidemiology

• Environmental and spatial statistics

• Econometrics and business analytics

• Survey sampling and experimental design

• Robust statistics and uncertainty quantification

Submit today and contribute to advancing statistical science!