San Francisco / Seattle / Muñoz / Chichester / Helsinki / New York / Berlin / Heidelberg / Los Angeles / London / Arlington / /
Company
AUAI Press / Cambridge University Press / M.L.P. / AAAI Press / Oxford University Press / HIV / Cox / John Wiley and Sons / Guilford Press / Glidden / /
Continent
Africa / /
Country
Greenland / Botswana / United Kingdom / Finland / / /
Facility
University of Washington / College Publications / Haviland Hall / University of California / /
IndustryTerm
formal causal tools / HIV prevention / invaluable tool / estimation tools / causal chain systems / nonrecursive systems / /
Organization
University of Washington / UCLA / Cambridge University / University of California / National Institute of Health / World Health Organization / University of California / Berkeley / Computer Science Department / Econometric Society / Center for Statistics and the Social Sciences / School of Public Health / Robins J. Association / Stat Assoc. / Oxford University / Bank of England / Stat Association / J. Association / /
Person
JO XIJDI BMM TVCKFDUT JO / Maya L. Petersen / Pearl J. Complete / Rose S. Targeted Learning / Pearl J. Causal / JO UIF UBSHFU QPQVMBUJPO BSF / Cole SR / Morgan Kaufmann / Pearl J. Effects / Causal Models / Pearl J. Dormant / /
Position
investigator / researcher / Doris Duke Clinical Scientist Development Award / advocate / author / analyst / Porter / /
REVIEW ARTICLE $BVTBM.PEFMTBOE-FBSOJOHGSPN%BUB Integrating Causal Modeling and Statistical Estimation Maya L. Petersen and Mark J. van der Laan Abstract: The practice of epidemiology requires asking causal question