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STATISTICS SEMINAR – Dec. 3

Join Ashani Wickramasinghe from the University of Manitoba for her talk on Thursday, December 3rd about “Social Network Analysis and Community detection on Spread of COVID-19”. ABSTRACT: In this talk, I will describe the epidemic spread using social network analysis, based on data from the first three months of the COVID-19 outbreak across the world...

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STATISTICS SEMINAR – Nov. 19

Join Dr. Razvan Romanescu from the Department of Community Health Sciences at the University of Manitoba for his talk on Thursday, November 19th about “Efficient Tests of Genetic Association for Rare Variants in Affected Sib Pairs”. ABSTRACT: Next generation sequencing technologies have made it possible to investigate the role of rare variants (RVs) in disease...

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STATISTICS SEMINAR – Nov. 5

Join Inesh Prabuddha from the University of Manitoba for his talk on Thursday, November 5th about “Assessing Lake Winnipeg Basin Walleye Movement Patterns using Bayesian State-Space Models”. ABSTRACT: Acoustic telemetry systems technology is useful for studying fish movement patterns and habitat use. However, the data generated from omnidirectional acoustic receivers are prone to large observation errors...

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STATISTICS SEMINAR – Oct. 15

Join Dr. Amelia McNamara from the University of St. Thomas for her talk on Thursday, October 15th about “Speaking the dialects of R: A case study in R syntaxes”. ABSTRACT: Part of what makes the R ecosystem great is that anyone can create their own R package, and share it with other users (e.g., on...

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STATISTICS SEMINAR – Oct. 8

Join Dr. Katherine Davies from the University of Manitoba for her talk on Thursday, October 8th about “Inference for Generalized Exponential Cure Rate Model and an Empirical Study”. ABSTRACT: In this talk, after providing some background, I will motivate the concept of cure rate models. From there, i will discuss cure rate models in detail,...

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STATISTICS SEMINAR – Feb. 13

Join Farnaz Hajipour from the University of Manitoba for her talk on Thursday, February 13th about “Comparing Regularized Logistic Regression and Random Forest Approaches for Daytime Diagnosis of Obstructive Sleep Apnea”. ABSTRACT: Obstructive sleep apnea (OSA) is a prevalent yet under diagnosed health problem. Assessment of OSA is currently based on sleep studies that are...