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International Conference on Applied Multilevel Modeling and Hierarchical Data Analysis

8–9 Aug 2026 Perth, Australia Standard / Physical Participation
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$179
virtual · $269 in person
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View full Refund, Cancellation & Terms policy
Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to info@iarfconference.com. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to info@iarfconference.com

Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the conference.

This track focuses on the latest methodologies in multilevel modeling, emphasizing innovations that enhance model accuracy and interpretability. Researchers are invited to present their findings on new algorithms and applications in various fields.
This session will explore Bayesian methods for analyzing hierarchical data, highlighting their advantages in dealing with complex data structures. Contributions that demonstrate practical applications and computational strategies are particularly encouraged.
This track aims to discuss the integration of predictive analytics within multilevel modeling frameworks. Participants will share insights on model development, validation, and real-world applications across different domains.
This session will delve into simulation methods that facilitate the estimation and validation of hierarchical models. Researchers are invited to present novel simulation strategies and their implications for statistical inference.
This track focuses on the challenges and methodologies associated with analyzing longitudinal data using multilevel modeling techniques. Contributions that address both theoretical advancements and practical applications are welcome.
This session will explore the role of random effects models in contemporary data science applications. Participants are encouraged to present case studies that illustrate the utility of these models in various research contexts.
This track emphasizes the computational aspects of hierarchical data analysis, including software development and algorithm optimization. Contributions that enhance the efficiency and accessibility of statistical computing tools are highly valued.
This session will investigate the intersection of machine learning and multilevel modeling, focusing on hybrid approaches that leverage the strengths of both fields. Researchers are invited to share innovative methodologies and empirical results.
This track will cover quantitative methods designed for forecasting within hierarchical data frameworks. Contributions that showcase the effectiveness of these methods in practical scenarios are encouraged.
This session will focus on inference techniques applicable to multilevel statistical models, including hypothesis testing and confidence interval estimation. Researchers are invited to present novel approaches and their implications for statistical practice.
This track aims to highlight diverse research applications of applied statistics, particularly in the context of multilevel and hierarchical data. Participants are encouraged to share case studies that demonstrate the impact of statistical analysis on real-world issues.