12 episodes

A biostatistics podcast made by biostatistics enthusiast about all biostatistics topics!

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Biostatistics Podcast Jocelyn Chen

    • Science

A biostatistics podcast made by biostatistics enthusiast about all biostatistics topics!

Powered by Firstory Hosting

    #12 Biostatistics Podcast with Grace Hsu

    #12 Biostatistics Podcast with Grace Hsu

    What is it like to work for a statistical consulting company? What are some common paths for statisticians to take in a consulting company? What are some skills needed in a statistical consultancy?

    Grace Hsu will answer all these questions for you! Grace got her master's degree in statistics from Simon Fraser University and currently is working in Cytel as an associate Director & Research principal. She has a lot of experience in developing and presenting advanced statistical methods to both statistical and non-statistical audiences and has supported submissions to HTAs and other regulatory bodies. Let's dive into this episode and see what Grace has shared with us!

    Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
    If you have any comments, feedback, or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast


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    • 38 min
    #11 Biostatistics Podcast with Karen Bandeen Roche

    #11 Biostatistics Podcast with Karen Bandeen Roche

    How to use latent variable models to address differential measurement problems? What are some interesting aging problems that can be addressed by biostatistics? What's the difference between epidemiology and biostatistics?

    Karen Bandeen Roche will answer all these questions for you. Dr. Bandeen Roche obtained her Ph.D. degree in operations research and industrial engineering from Cornell University. And she is particularly interested in the development, implementation, and application of models for problems that include underlying or unobservable processes of interest. She focuses on creating statistical reasoning needed to learn how we can lengthen healthy lives and increase independence for older adults. Let's dive into this episode and see what Karen has shared with us.

    Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
    If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast


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    • 34 min
    #10 Biostatistics Podcast with Jin Jin

    #10 Biostatistics Podcast with Jin Jin

    What are some important skills that are helpful while doing post-graduate training? What is the trend in academia as Biostatistics gets more and more competitive? How to navigate career choice between industry and academia?

    Dr. Jin Jin will answer all these questions for you. Jin Jin received her phd in Biostatistics from the University of Minnesota and now works as an Assistant Professor of Biostatistics at the University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics. With a research focus on integrating large-scale datasets to address cutting-edge problems in public health and medicine, she deals with complex issues such as health equity in disease risk prediction, statistical genetics, and Bayesian hierarchical models for high-dimensional data. Let's dive into this episode and see what Jin Jin has shared with us.

    Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
    If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast


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    • 58 min
    #9 Biostatistics Podcast with Paul Arora

    #9 Biostatistics Podcast with Paul Arora

    What's the difference between epidemiology and biostatistics? What do epidemiologists support in a consulting company? How to build a start-up with your statistical knowledge?

    Dr. Paul Arora will answer all these questions for you! Paul holds the position of Vice President, Advanced Epidemiology at Cytel, where his primary areas of focus encompass real-world evidence, epidemiological methods, and the application of machine learning to health outcome issues. Additionally, he played a significant role in establishing Lighthouse Outcomes, a specialized consulting firm dedicated to advanced analytics in clinical epidemiology research. Moreover, Paul is an Assistant Professor within the Division of Epidemiology at the Dalla Lana School of Public Health, University of Toronto. His professional background is rooted in epidemiology, with over fifteen years of experience leading assessments in both public health and clinical epidemiology. He possesses extensive expertise in evidence synthesis methodologies and has held influential consulting positions, collaborating with domestic and international public and private institutions. Let's dive into this episode and see what Paul shared with us!

    Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
    If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast


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    • 58 min
    #8 Biostatistics Podcast with Brian Smith

    #8 Biostatistics Podcast with Brian Smith

    What are the differences between early phase trial design and late phase trial design? What are some common assumptions for early trial designs? What are some challenges for statistics nowadays?

    Dr. Brian Smith will answer all these questions for you. Brian got his Phd in statistics from the University of Kentucky and has been actively involved in promoting quantitative sciences in drug development. He has a diverse background in biostatistics and has held numerous positions in the pharmaceutical industry and academia. He currently holds the position of executive director of Biostatistics at Novartis.

    Throughout his career, Brian has focused on early clinical development in the pharmaceutical industry. He has played an active role in the development and implementation of statistical methods to improve the efficiency and quality of drug development. With his vast experience and expertise in biostatistics, Brian has become a respected leader in the field and continues to contribute to the advancement of quantitative sciences in drug development. Let’s dive into this episode and see what Brian shared with us.

    Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
    If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast


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    • 53 min
    #7 Biostatistics Podcast with Xiaoling Wu

    #7 Biostatistics Podcast with Xiaoling Wu

    How will the biostatistics industry evolve in the coming years? Is SAS still an important skill recruiters look at when hiring for a biostatistics related job?

    In this episode, you will hear Doctor Xiaoling Wu answering these questions after being in the field for over 15 years. Xiaoling holds a PhD degree in statistics from the Johns Hopkins University. She has contributed to over 10 successful global submission of drugs treating cancer and CNS disorder. She was the director and head of biostatistics in Legend Biotech in New Jersey. And led the successful BLA submission of a breakthrough cell therapy treating multiple myeloma during her 3 year tenure. Currently, Xiaoling is the statistics technical lead of a game changing ADC at a leading global oncology company.

    Xiaoling was lead statistician of five successful IND clearance and 1 BLA/MAA/PMDA approval valued at $5B. She addressed statistics query from FDA, SEC and institution investors and co-authored over 150 abstracts published at ASCO, ASH and other international medical congress. Let's dive in this episode to see what Xiaoling shared with us

    Please visit our website https://biostatisticspodcast.github.io/ for the latest updates and transcripts of the published episodes.
    If you have any comments, feedback or suggestions, feel free to email us via biostatisticspodcast@gmail.com or DM us on Twitter @BiostatsPodcast


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    • 33 min

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