Latent class analysis derived subgroups of low back pain patients – do they have prognostic capacity?
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2474
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Latent class analysis derived subgroups of low back pain patients – do they have prognostic capacity? ; volume:18 ; number:1 ; day:9 ; month:8 ; year:2017 ; pages:1-19 ; date:12.2017
BMC musculoskeletal disorders ; 18, Heft 1 (9.8.2017), 1-19, 12.2017
- Creator
-
Molgaard Nielsen, Anne
- Contributor
- DOI
-
10.1186/s12891-017-1708-9
- URN
-
urn:nbn:de:1111-2017102611042
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:32 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Molgaard Nielsen, Anne
- Hestbaek, Lise
- Vach, Werner
- Kent, Peter
- Kongsted, Alice
- SpringerLink (Online service)
Other Objects (12)
Latent class analysis derived subgroups of low back pain patients – do they have prognostic capacity?
Rangquantilstatistiken
Logistic regression with missing values in the covariates
Value-based and benefit-based strategies in deciding to bring a test into use should be distinguished
On the use of comparison regions in visualizing stochastic uncertainty in some two‐parameter estimation problems
Improvement of the average linkage method
Analysis of isp script files as an example for the retrospective analysis of machine written records
Visualizing uncertainty in a two-dimensional estimate using confidence and comparison regions
On the use of comparison regions in visualizing stochastic uncertainty in some two‐parameter estimation problems
Constructing treatment selection rules based on an estimated treatment effect function: different approaches to take stochastic uncertainty into account have a substantial effect on performance
Potential role of “the compensating benefit” in claiming non-inferiority
A framework to assess the impact of applying formal criteria to check clinical relevance on top of statistical significance
Latent class analysis derived subgroups of low back pain patients – do they have prognostic capacity?
Rangquantilstatistiken
Logistic regression with missing values in the covariates
Value-based and benefit-based strategies in deciding to bring a test into use should be distinguished
On the use of comparison regions in visualizing stochastic uncertainty in some two‐parameter estimation problems
Improvement of the average linkage method
Analysis of isp script files as an example for the retrospective analysis of machine written records
Visualizing uncertainty in a two-dimensional estimate using confidence and comparison regions
On the use of comparison regions in visualizing stochastic uncertainty in some two‐parameter estimation problems
Constructing treatment selection rules based on an estimated treatment effect function: different approaches to take stochastic uncertainty into account have a substantial effect on performance
Potential role of “the compensating benefit” in claiming non-inferiority
A framework to assess the impact of applying formal criteria to check clinical relevance on top of statistical significance
Latent class analysis derived subgroups of low back pain patients – do they have prognostic capacity?
Rangquantilstatistiken
Logistic regression with missing values in the covariates
Value-based and benefit-based strategies in deciding to bring a test into use should be distinguished
On the use of comparison regions in visualizing stochastic uncertainty in some two‐parameter estimation problems
Improvement of the average linkage method
Analysis of isp script files as an example for the retrospective analysis of machine written records
Visualizing uncertainty in a two-dimensional estimate using confidence and comparison regions
On the use of comparison regions in visualizing stochastic uncertainty in some two‐parameter estimation problems
Constructing treatment selection rules based on an estimated treatment effect function: different approaches to take stochastic uncertainty into account have a substantial effect on performance
Potential role of “the compensating benefit” in claiming non-inferiority