D. Scharfstein

Statistics and Probability · with Rotnitzky · 1999–2018

A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 69 researchers here, as inferred from the citation graph.

Subfields

Whom D. Scharfstein trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. James M. Robins
  2. Whitney K. Newey
  3. Andrea Rotnitzky
  4. Donald B. Rubin
  5. Yaacov Ritov
  6. K. Liang
  7. Peter J. Bickel
  8. Theo Gasser
  9. Lue Ping Zhao
  10. A. van der Vaart

Who trusts D. Scharfstein overall

  1. Xinkun Nie
  2. Nathan Kallus
  3. James M. Robins
  4. Stefan Wager
  5. Karel Vermeulen
  6. Jae Kwang Kim
  7. Stijn Vansteelandt
  8. Susan Athey
  9. Jeffrey M. Wooldridge
  10. Jennifer L. Hill

Papers from D. Scharfstein's perspective

Ordered by how strongly the researchers D. Scharfstein trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.
  2. Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
  3. Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models
  4. A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
  5. The Prevention and Treatment of Missing Data in Clinical Trials
  6. A Generalization of Sampling Without Replacement from a Finite Universe
  7. Regression Shrinkage and Selection via the Lasso
  8. Semiparametric Theory and Missing Data
  9. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
  10. Semiparametric Efficiency Bounds

Their papers