Department of Medicine

Quantitative Sciences Unit

Research Methods Seminars

Directions

To get to 1070 Arastradero:
Driving: enter the driveway and take the first left into the parking lot and park.  Enter through the front door - you will be in the lobby.  Take the door on the right and follow it toward the back of the building.  Room 109 will be on your left before you reach the glass door leading outside.
Shuttle: 1070 Arastradero is served by the Marguerite Shuttle, which picks up at the medical center on Pasteur Drive. 

The Quantitative Sciences Unit (QSU) is hosting a forum to discuss research methods in medicine held on the first Tuesday of every month.

The Research Methods Seminar is an interactive and informal journal club-type format where topical papers in medical research, particularly relevant to faculty in the Department of Medicine, are discussed with an emphasis on the methods and/or study design.

 

QSU Research Methods Seminar
Location: 1070 Arastradero Road # 109
Time: 4-5pm first Tuesday of the month (unless otherwise noted)
 Refreshments served
Free parking

Upcoming Seminars

Tuesday, February 11, 2014
Please note*
February's seminar will be on the 2nd Tuesday of the month



Haley Hedlin, PhD
Senior Biostatistician
Quantitative Sciences Unit

An Introduction to Time Series Analysis
with Examples from Neuroscience.

Abstract:
This talk will give an introduction to statistical methods for analyzing time series data. We will begin with the goals and assumptions of time series analysis. Common examples of time series data in medicine will be used to distinguish time series data from other longitudinal measurements and to explain common terminology. Finally, examples from neuroscience will be used to illustrate time series in practice.

Optional Reading Material:

Zeger, Scott L.; Irizarry, Rafael A.; and Peng, Roger D., "On Time Series Analysis of Public Health and Biomedical Data" (September 2004). Johns Hopkins University, Dept. of Biostatistics Working Papers. Working Paper 54. http://biostats.bepress.com/jhubiostat/paper54

We welcome your suggestions for the seminar series and are happy to answer any questions you may have - please contact Linda Enomoto or Jessica Kubo.

We look forward to seeing you at our next seminar!


Past Seminars

December 2013 Steven Goodman
What do P-values mean? Probably not what you think

November 2013 Nigam Shah
Generating Practice-based Evidence from Electronic Health Records

September 2013 David Rogosa
Statistical Methods for Longitudinal Research

May 2013 Aya Mitani
Multiple Imputation in Practice --

Approaches for handling categorical and interaction variables

April 2013 Kristin Sainani
Writing about Biostatistics
March 2013 Iryna V. Lobach
Analysis of Gene-Environment Interactions with Measurement Errors in Environmental Exposures
February 2013 Ying Lu
Statistical Designs for Phase I Cancer Clinical Trials
December 2012 Sergio Bacallado
An Introduction to Bayesian Analysis Using Case Studies in Medical Research
November 2012 Kristin Sainani
Introduction to Propensity Scores
October 2012 John Ioannidis
Genetic Prediction Models: Practice, Metrics and a Discovery Extension
May 2012 Ben Goldstein
Predicting Acute Sudden Cardiac Death using Electronic Health Records
April 2012 Sepideh Modrek
An Application of Instrumental Variables: Maternal Education as a Driver for Eliminating Female Circumcision
March 2012 Hui Wang
Applications of Targeted MLE Based Variable Importance Measurement in Dimension Reduction with Gene Expression Data
February 2012 Mike Baiocchi
Estimating the Effectiveness of Intensity of Care on Rates of Death for Premature Infants
January 2012 Raúl Aguilar
Things You Can Do When You Have Missing Covariates
December 2011 David Shilane
Comparative Effectiveness Research in Cardiology with Messy Data
November 2011 Ben Goldstein
Prediction in Medical Studies: What, Why & How
October 2011 Jane Paik
Using Regression Models to Analyze Randomized Trials: Robustness of Survival Models to Misspecification
September 2011 David Rehkopf
Applying Machine Learning Algorithm to Answer Questions from Observational Data: Essential Complement or Dangerous Tool?
June 2011 Susan Gruber
Targeted Maximum Likelihood Estimation for Causal Inference
May 2011 Gunnar Carlsson
Topological Data Analysis for Biology
April 2011 Maria E Montez-Rath
Methods for Handling Survey Data
March 2011 Mark Cullen, Manisha Desai, Jessica Kubo
Modeling the Hazard of Injury as a Function of Experience Among Hourly Aluminum Manufacturing Workers
February 2011 Jose Montoya
Could a Recently Found Virus, XMRV, Cause Chronic Fatigue Syndrome?
January 2011 Manisha Desai
An Introduction to Missing Data and Imputation Methods
December 2010 Wolfgang Winkelmayer
Propensity Scores
November 2010 Jay Bhattacharya
Does Swan-Ganz Catheterization Increase Mortality in the ICU? An Instrumental Variables Bounding Approach
October 2010 Tim Assimes
Epidemiological Issues in Contemporary Human Genetic Studies
September 2010 Doug Owens
Where Angels Dare not Tread: Development of a Guideline for Screening Mammography in 40 to 49 year Old Women

Additional Information:

Welcome to Quantatitive Sciences
Quantative Sciences Overview

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