Wikidata

(Q26343098)

English

Fully parametric and semi-parametric regression models for common events with covariate measurement error in main study/validation study designs

journal article published in 1997

In more languages

Statements

title
Fully parametric and semi-parametric regression models for common events with covariate measurement error in main study/validation study designs (English)
1 reference
stated in
NIOSHTIC-2
NIOSHTIC-2 ID
20024779
retrieved
11 July 2017
author name string
D Spiegelman
series ordinal
1
0 references
M Casella
series ordinal
2
0 references
publication date
June 1997
0 references
published in
Biometrics
0 references
volume
53
0 references
issue
2
0 references
page(s)
395-409
0 references
performing organization
Harvard T.H. Chan School of Public Health
object named as
Harvard University, School of Public Health, Department of Epidemiology and Biostatistics, Boston, Massachusetts
1 reference
stated in
NIOSHTIC-2
retrieved
2 February 2024
funding scheme
grant
1 reference
stated in
NIOSHTIC-2
retrieved
25 September 2023

Identifiers

DOI
10.2307/2533945
0 references
JSTOR article ID
2533945
0 references
NIOSHTIC-2 ID
20024779
0 references
 
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