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Causal Inference and Alternative Explanations

by saunders — last modified 2009-06-09 10:12

This talk will review some of the basic tenets on which we rely when we wish to infer that treatment A causes response B. In particular we'll discuss the rationale for randomization and sampling. We'll also discuss how assessing the effects of time-varying treatments raises interesting challenges.


2004-05-14 00:00

2004-05-14 12:00

2004-05-14 13:00

48 min.

708 KB (Powerpoint)

Susan A Murphy, PhD

<a href="http://chcr.umich.edu/who_we_are/people/person.2005-04-12.8761439203/person_view"><b>Susan Murphy</b></a> is a professor in the Department of Statistics and a research professor in the Institute for Social Research at the University of Michigan. Her research interests include methods for collecting and analyzing empirical evidence in developing adaptive treatment strategies. Adaptive treatment strategies are
treatments that vary over time in intensity and type in response to ongoing measures of individual response, preferences, adherence to past treatment, and burden resulting from past treatments. These types of treatments are particularly interesting in the management of chronic disorders such as mental illnesses, substance abuse addictions, and HIV infections.<a href="http://chcr.umich.edu/who_we_are/people/person.2005-04-12.8761439203/person_view"></a><br>
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http://wocket.chcr.med.umich.edu/chcr/seminars/2004-05-14-murphy.htm





Causal Inference and Alternative Explanations
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