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researcher

S. Lendle

2 papers hereh-index 13637 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.AP1
  • stat.CO1

identity via Semantic Scholar / OpenAlex

most citedPropensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

stat.AP2017★ 7 cited

Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods

Cheng Ju, Mary Combs, Samuel D Lendle +4

The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses c…

stat.CO2017

Scalable Collaborative Targeted Learning for High-Dimensional Data

Cheng Ju, Susan Gruber, Samuel D. Lendle +5

Robust inference of a low-dimensional parameter in a large semi-parametric model relies on external estimators of infinite-dimensional features of the distribution of the data. Typ…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.