BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute of Statistical Research and Training - ECPv6.15.14//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://isrt.ac.bd
X-WR-CALDESC:Events for Institute of Statistical Research and Training
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20240101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20250619T150000
DTEND;TZID=UTC:20250722T213000
DTSTAMP:20260119T035633
CREATED:20250512T170620Z
LAST-MODIFIED:20250518T045412Z
UID:7859-1750345200-1753219800@isrt.ac.bd
SUMMARY:R for Applied Statistics and Data Science 2025
DESCRIPTION:The upcoming R training program starts from June 22\, 2025.\nFollow the website for details: https://isrt.ac.bd/training/r/
URL:https://isrt.ac.bd/event/r-for-applied-statistics-and-data-science-2025/
LOCATION:ISRT\, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 bangladesh\, Bangladesh
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250707T080000
DTEND;TZID=UTC:20250707T170000
DTSTAMP:20260119T035633
CREATED:20250706T163654Z
LAST-MODIFIED:20250706T163654Z
UID:8007-1751875200-1751907600@isrt.ac.bd
SUMMARY:First-year classes begin July 7\, 2025
DESCRIPTION:Classes for first-year students of the 2024–2025 session will commence on July 7\, 2025.
URL:https://isrt.ac.bd/event/first-year-classes-begin-july-7-2025/
CATEGORIES:class
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250727T080000
DTEND;TZID=UTC:20250727T170000
DTSTAMP:20260119T035633
CREATED:20250704T125422Z
LAST-MODIFIED:20250704T125949Z
UID:7991-1753603200-1753635600@isrt.ac.bd
SUMMARY:M.S. Admission Test is on July 27\, 2025
DESCRIPTION:Details are given on the MS admission site https://isrt.ac.bd/academics/admission
URL:https://isrt.ac.bd/event/ms-admission2025/
LOCATION:ISRT\, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 bangladesh\, Bangladesh
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250730T103000
DTEND;TZID=UTC:20250730T120000
DTSTAMP:20260119T035633
CREATED:20250730T152011Z
LAST-MODIFIED:20250730T152011Z
UID:8071-1753871400-1753876800@isrt.ac.bd
SUMMARY:128th Birth Anniversary of Qazi Motahar Husain
DESCRIPTION:This is a reminder to attend the program being organized jointly with the Department of Statistics in memory of the Late Professor Qazi Motahar Husain at the TSC tomorrow at 10:30 a.m. The program will be attended by the Honorable Vice-Chancellor\, DU\, as the Chief Guest. Professor Husain was a leading proponent of statistical education and research in Bangladesh and the founder Director of ISRT.  Furthermore\, students who have excelled in their B.S. and M.S. examinations will be awarded by the  Qazi Motahar Husain Foundation.
URL:https://isrt.ac.bd/event/128th-birth-anniversary-of-qazi-motahar-husain/
LOCATION:TSC\, Bangladesh
CATEGORIES:other
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250817
DTEND;VALUE=DATE:20250818
DTSTAMP:20260119T035633
CREATED:20250730T181252Z
LAST-MODIFIED:20250730T181252Z
UID:8075-1755388800-1755475199@isrt.ac.bd
SUMMARY:Classes for session 2025-2026 will start on August 17\, 2025
DESCRIPTION:
URL:https://isrt.ac.bd/event/classes-for-session-2025-2026-will-start-on-august-17-2025/
CATEGORIES:class
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250818T140000
DTEND;TZID=UTC:20250818T153000
DTSTAMP:20260119T035633
CREATED:20250814T042935Z
LAST-MODIFIED:20250814T043120Z
UID:8100-1755525600-1755531000@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday August 18\, 2025
DESCRIPTION:Title: Sensor Data Analytics with Wearables and mm-Wave Radars for Digital Health \nVenue\, time and date: ISRT\, 2:00 pm\, August 18\, 2025 \nSpeaker: Shekh Md Mahmudul Islam\, Ph.D.\, Associate Professor in the Department of Electrical and Electronic Engineering at the Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh and Postdoctoral Fellow in the Department of Biomedical Engineering at Duke Deltin 7 Aviator গেম টাকা ইনকাম\, USA. \nAbstract:  \nThis talk presents an integrated view of sensor data analytics for digital health\, combining wearable sensing and millimeter-wave (mm-Wave) radar technologies. Beyond hardware innovation\, the focus is on transforming raw physiological signals into actionable insights through advanced signal processing\, feature engineering\, and machine learning. Case studies will include digital biomarker extraction for diabetes monitoring\, continuous identity authentication\, and unobtrusive sleep apnea detection. Key topics include multi-sensor fusion of respiration and heart rate variability (HRV) data\, robust analytics pipelines resilient to noise and motion artifacts\, and the use of interpretable machine learning models for health status prediction. The presentation also covers compliance tracking using the radar sensor framework\, validation under real-world and adversarial conditions\, and the translation of analytics into clinical and remote monitoring applications. The talk concludes with opportunities for collaborative research in scaling sensor analytics for aging populations and chronic disease management.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-august-18-2025/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251027T140000
DTEND;TZID=UTC:20251027T150000
DTSTAMP:20260119T035633
CREATED:20251025T044211Z
LAST-MODIFIED:20251025T044211Z
UID:8255-1761573600-1761577200@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday 27 October 2025
DESCRIPTION:Title: Causal Inference with Misclassified Exposure: Correcting the IPW Estimator \nVenue\, time and date: ISRT\, 2:00 pm\, October 27\, 2025 \nSpeaker: Tarikul Islam\, Lecturer\, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh \nAbstract:  \nThe inverse probability weighting (IPW) estimator is widely used for estimating the average treatment effect (ATE) in causal inference. However\, the IPW estimator is prone to bias when the exposure variable is misclassified\, even if the misclassification is non-differential. In this paper\, we propose a correction for the IPW estimator using the method of moments (MoM) to account for misclassified exposure. We derive the corrected IPW estimator\, demonstrate its unbiasedness under misclassification\, and evaluate its performance through simulation studies. Furthermore\, we discuss techniques for estimating misclassification probabilities\, including scenarios with and without validation data or exposure replication. We also derive ranges of these probabilities for conducting sensitivity analyses when no gold standard is available. Additionally\, we apply the proposed method to real-world data from the Bangladesh Multiple Indicator Cluster Survey (MICS) 2019 to estimate the causal effect of the wealth index on ICT skills among women aged 15-49\, demonstrating the robustness of our method.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-27-october-2025/
CATEGORIES:seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251107T090000
DTEND;TZID=UTC:20251206T210000
DTSTAMP:20260119T035633
CREATED:20251013T063712Z
LAST-MODIFIED:20251023T053444Z
UID:8191-1762506000-1765054800@isrt.ac.bd
SUMMARY:Training on Stata for Applied Statistics and Data Science from November 07\,2025
DESCRIPTION:The upcoming Stata training program starts from November 07\, 2025\nRegistration Open!\nFollow the website for details: https://isrt.ac.bd/training/stata/\n 
URL:https://isrt.ac.bd/event/stata-for-applied-statistics-and-data-science-2/
LOCATION:ISRT\, ISRT\, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh\, Deltin 7 bangladesh\, Bangladesh
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251227T090000
DTEND;TZID=UTC:20251227T170000
DTSTAMP:20260119T035633
CREATED:20251223T081536Z
LAST-MODIFIED:20251223T081536Z
UID:8443-1766826000-1766854800@isrt.ac.bd
SUMMARY:pre-icasds2025 conference workshops
DESCRIPTION:More is given at https://icasds2025.isrt.ac.bd/home/pre-conference-workshops
URL:https://isrt.ac.bd/event/pre-icasds2025-conference-workshops/
CATEGORIES:workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251228
DTEND;VALUE=DATE:20251230
DTSTAMP:20260119T035633
CREATED:20240515T141523Z
LAST-MODIFIED:20250808T171935Z
UID:6653-1766880000-1767052799@isrt.ac.bd
SUMMARY:International Conference on Applied Statistics and Data Science (ICASDS) 2025 on December 28-29\, 2025 
DESCRIPTION:The International Conference on Applied Statistics and Data Science (ICASDS) is scheduled to take place on December 28-29\, 2025\, with a pre-conference workshop on December 27\, 2025. Further details and the conference website\, https://icasds2025.isrt.ac.bd will be available soon. \n 
URL:https://isrt.ac.bd/event/international-conference-on-applied-statistics-and-data-science-icasds-2025-on-december-27-29-2025/
CATEGORIES:conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260105T140000
DTEND;TZID=UTC:20260105T150000
DTSTAMP:20260119T035633
CREATED:20260101T042836Z
LAST-MODIFIED:20260101T042836Z
UID:8479-1767621600-1767625200@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Monday 5 January 2026
DESCRIPTION:Title: A Moment-Based Generalization To Post-Prediction Inference \nVenue\, date and time: ISRT\, 5 January 2026\, 2 pm \nSpeaker: Awan Afiaz\, PhD candidate at the Department of Biostatistics\, Deltin 7 Aviator গেম টাকা ইনকাম of Washington Seattle\, WA\, USA and ISRT alumnus \nAbstract: \nAs artificial intelligence (AI) and machine learning (ML) become increasingly integrated into scientific research\, investigators frequently substitute predicted outcomes for expensive or difficult-to-measure data. However\, treating these AI/ML-generated predictions as true observations can lead to biased estimates and anti-conservative inference. While high predictive accuracy is often assumed to ensure valid downstream inference\, statistical challenges in inference with predicted data (IPD) fundamentally reduce to two sources of error: bias\, when predictions systematically distort relationships among variables\, and variance\, when uncertainty from prediction models is inadequately propagated. Wang et al. (2020) introduced post-prediction inference (PostPI)\, a pioneering method that addresses this challenge by modeling the relationship between predicted and observed outcomes in a small gold-standard dataset to calibrate inference in larger unlabeled samples. PostPI has been influential in formalizing the IPD problem and demonstrating how naive approaches fail to appropriately reflect uncertainty. However\, PostPI relies on a critical assumption: that prediction errors are uncorrelated with covariates of interest. In realistic settings where prediction algorithms exhibit systematic errors related to input features\, this assumption is often violated\, leading to biased parameter estimates and inadequate error control. We revisit PostPI in light of recent methodological advances and propose a moment-based generalization that relaxes this restrictive assumption. Our extension explicitly accounts for the covariance between prediction errors and covariates by incorporating an additional correction term estimated from the labeled dataset. This approach yields unbiased point estimates under standard conditions while incorporating a simple scaling factor that appropriately reflects the contribution of relationship model uncertainty regardless of sample size allocation. Through extensive simulations across three data-generating scenarios\, we demonstrate that our method maintains nominal Type-I error rates and achieves proper coverage probability\, even when the labeled sample is substantially smaller than the unlabeled sample settings where both naive approaches and original PostPI fail. Our work illustrates the classic bias-variance trade-off inherent to IPD’s challenges and confirms that there is no free lunch when substituting predicted outcomes for true measurements.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-5-january-2026/
CATEGORIES:seminar
END:VEVENT
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