Seminar Slides | Enhancing Statistical Methods in Grants and Papers | Dr. Saunak Sen

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Enhancing Statistical Methods in Grants and Papers Seminar Slides (PDF)

 

Time: June 4th 12:00-1:00PM

Location: Simulation Building Room 102

Presented by Saunak Sen, PhD

Enhancing Statistical Methods in Grants and Papers

Modern biomedical research relies heavily on statistical reasoning and data analysis.  Journal and research grant reviewers are increasingly examining the statistical analysis sections more closely.  We will outline reporting guidelines such as ARRIVE, CONSORT, and STROBE for animal pre-clinical studies, randomized trials, and observational studies, respectively.  In case, you need further assistance we suggest you make a BERD clinic appointment to seek advice from an epidemiology or biostatistics faculty member.  If a more elaborate engagement is needed, you might want to consider starting a consulting project or a research collaboration.  We will discuss what to expect in those interactions to help decide what route might be best for your research.

TN-CTSI seminar series on statistical reasoning in biomedical research: The Division of Biostatistics in the Department of Preventive Medicine and the Biostatistics, Epidemiology and Research Design Unit of TN-CTSI invite you to attend a seminar series on statistical reasoning in biomedical research. This is the final seminar in the 6-seminar series.

Seminar Slides | The Perfect Doctor | Dr. Fridtjof Thomas

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The Perfect Doctor TN-CTSI 2019-05-28 – handout

Time: May 28th 12:00-1:00PM

Location: Simulation Building Room 102

Presented by Fridtjof Thomas, PhD

The Perfect Doctor: An introduction to Causal Inference

Consider a Perfect Doctor that has the magical ability to pick from two treatments always the one that is better for each given patient. Can we learn about treatment effects by observing the outcomes for the individual patients treated by that doctor?  What exactly can we learn and what will remain hidden?  We will look in detail into this situation and thereby clarify concepts such as individual, average, and causal treatment effects; factual and potential outcomes; random assignment of treatments; and expected vs. observed outcomes in clinical studies.  This seminar provides a non-technical introduction to causal inference in the medical sciences.

TN-CTSI seminar series on statistical reasoning in biomedical research: The Division of Biostatistics in the Department of Preventive Medicine and the Biostatistics, Epidemiology and Research Design Unit of TN-CTSI invite you to attend a seminar series on statistical reasoning in biomedical research. This 6-seminar series emphasizes conceptual aspects over technical details.

Final Seminar in the Series:

June 4th Enhancing Statistical Methods in Grants and Papers (Saunak Sen, PhD)

Keywords: Individual, average, and causal treatment effects; factual and potential outcomes; random assignment of treatments; expected vs. observed outcomes.

Seminar Slides | Multiple Comparisons and the False Discovery Rate | Dr. Saunak Sen

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Please click below for the slides from Dr. Saunak Sen’s presentation May 21st, 2019.

Multiple Comparisons and the False Discovery Rate

Seminar Slides: The Bayesian Approach to Data Analysis | Fridtjof Thomas

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Please see below the slides from the seminar on May 15th, 2019 by Fridtjof Thomas.

 

Seminar Slides Bayesian Approach to Data Analysis

Seminar Slides: P-Value Discussion | Dr. Saunak Sen

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Please see below for the sides from Dr. Sen’s seminar discussion.

p-value-discussion