//--> //--> //-->
Toggle navigation
Logout
Change account settings
EN
DE
ES
FR
A-Z
Beta
About EconBiz
News
Thesaurus (STW)
Research Skills
Help
EN
DE
ES
FR
My account
Logout
Change account settings
Login
Publications
Events
Your search terms
Search
Retain my current filters
~source:"olc"
Search options
All Fields
Title
Exact title
Subject
Author
Institution
ISBN/ISSN
Published in...
Publisher
Open Access only
Advanced
Search history
My EconBiz
Favorites
Loans
Reservations
Fines
You are here:
Home
Doubly-Robust Estimators of Tr...
Similar by person
Narrow search
Delete all filters
| 1 applied filter
Year of publication
From:
To:
Type of publication
All
Article
3
Language
All
Undetermined
3
Author
All
Tsiatis, Anastasios A.
3
Genton, Marc G.
1
Ma, Yanyuan
1
Robins, James M.
1
Scharfstein, Daniel O.
1
Zhao, Hongwei
1
Published in...
All
Journal of the American Statistical Association : JASA
2
Sankhya / B : the Indian journal of statistics
1
Source
All
OLC EcoSci
RePEc
36
BASE
13
ECONIS (ZBW)
2
Showing
1
-
3
of
3
Sort
relevance
articles prioritized
date (newest first)
date (oldest first)
1
Theory and Methods - Locally Efficient Semiparametric Estimators for Generalized Skew-Elliptical Distributions
Ma, Yanyuan
;
Genton, Marc G.
;
Tsiatis, Anastasios A.
- In:
Journal of the American Statistical Association : JASA
100
(
2005
)
471
,
pp. 980-989
Persistent link: https://www.econbiz.de/10006606294
Saved in:
2
Semiparametric Efficiency and Its Implication on the Design and Analysis of Group-Sequential Studies
Scharfstein, Daniel O.
;
Tsiatis, Anastasios A.
;
Robins, …
- In:
Journal of the American Statistical Association : JASA
92
(
1997
)
440
,
pp. 1342-1350
Persistent link: https://www.econbiz.de/10006629796
Saved in:
3
ESTIMATING MEAN QUALITY ADJUSTED LIFETIME WITH CENSORED DATA
Zhao, Hongwei
;
Tsiatis, Anastasios A.
- In:
Sankhya / B : the Indian journal of statistics
62
(
2000
)
1
,
pp. 175
Persistent link: https://www.econbiz.de/10006515986
Saved in:
Results per page
10
25
50
100
250
A service of the
zbw
×
Loading...
//-->