ALL libraries (COBIB.SI union bibliographic/catalogue database)
13.
Missing binary covariante data and imputation in regression models
Heinze, Georg
This paper presents a simple way to handle missing values in categorical covariates, namely conditional probability imputation. Properties of this technique are given for various patterns of missing ...data in regression studies. An example shows its use in the proportional hazards model. The probability imputation technique is furthermore compared with multiple imputation and model-based approaches. It can be concluded that for certain patterns of missing data occuring typically in prognostic factor studies, the probability imputation technique has properties not inferior to more sophisticated but also more difficult-to-implement methods, and is outperforming standard techniques like complete case analysis or omission of covariates with missing values
It was not necessary to add the material to the shelf.
Bibliographic material was successfully added on shelf.
Adding bibliographical material on shelf was not successful.
Material is already on the shelf.
Permalink
URL:
Impact factor
Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.
Year
Impact factor
Edition
Category
Classification
JCR
SNIP
JCR
SNIP
JCR
SNIP
JCR
SNIP
Select the library membership card:
DRS,
in which the journal is indexed
Database name
Field
Year
Links to authors' personal bibliographies
Links to information on researchers in the SICRIS system
Subject headings in COBISS General List of Subject Headings
Select pickup location
The material from the parent unit is free. If the material is delivered to the pickup location from another unit, the library may charge you for this service.
