Matching Methods for Causal Inference: A Review and a Look Forward
págs. 1-21
págs. 22-40
Make Research Data Public?-Not Always so Simple: A Dialogue for Statisticians and Science Editors
Nell Sedransk, Linda J. Young, Katrina L. Kelner, Robert Moffitt, Ani Thakar, Jordan Raddick, Edward J. Ungvarsky, Richard W. Carlson, Rolf Apweiler, Lawrence H. Cox, Deborah Nolan, Keith Soper, Clifford Spiegelman
págs. 41-50
págs. 51-71
págs. 72-87
Particle Learning and Smoothing
Carlos M. Carvalho, Michael Johannes, Hedibert Freitas Lopes, Nicholas Polson
págs. 88-106
págs. 107-125
págs. 126-144
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