Literature DB >> 27677905

Estimation bias resulting from sparse data.

Zhongheng Zhang1,2, Bo Ren3.   

Abstract

Year:  2016        PMID： 27677905     DOI： 10.1007/s00134-016-4495-0

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


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  5 in total

1.  Sparse data bias: a problem hiding in plain sight.

Authors:  Sander Greenland; Mohammad Ali Mansournia; Douglas G Altman
Journal:  BMJ       Date:  2016-04-27

2.  Model building strategy for logistic regression: purposeful selection.

Authors:  Zhongheng Zhang
Journal:  Ann Transl Med       Date:  2016-03

3.  Residuals and regression diagnostics: focusing on logistic regression.

Authors:  Zhongheng Zhang
Journal:  Ann Transl Med       Date:  2016-05

4.  Protein C zymogen in severe sepsis: a double-blinded, placebo-controlled, randomized study.

Authors:  Federico Pappalardo; Martina Crivellari; Ambra L Di Prima; Nataliya Agracheva; Malgorzata Celinska-Spodar; Rosalba Lembo; Daiana Taddeo; Giovanni Landoni; Alberto Zangrillo
Journal:  Intensive Care Med       Date:  2016-06-25       Impact factor: 17.440

5.  Human protein C zymogen concentrate in patients with severe sepsis and multiple organ failure after adult cardiac surgery.

Authors:  Martina Crivellari; Patrizia Della Valle; Giovanni Landoni; Federico Pappalardo; Chiara Gerli; Elena Bignami; Giovanni Marino; Alberto Zangrillo; Armando D'Angelo
Journal:  Intensive Care Med       Date:  2009-08-01       Impact factor: 17.440
  5 in total
  1 in total

1.  Estimation bias resulting from sparse data: response to comments by Zhang and Ren.

Authors:  F Pappalardo; G Landoni
Journal:  Intensive Care Med       Date:  2016-09-27       Impact factor: 17.440
  1 in total

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