Improvement of quality of life in methadone treatment patients in northern Taiwan: a follow-up study
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-244X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Improvement of quality of life in methadone treatment patients in northern Taiwan: a follow-up study ; volume:13 ; number:1 ; day:16 ; month:7 ; year:2013 ; pages:1-8 ; date:12.2013
BMC psychiatry ; 13, Heft 1 (16.7.2013), 1-8, 12.2013
- Urheber
-
Chou, Ying-Chun
- Beteiligte Personen und Organisationen
-
Shih, Shu-Fang
Tsai, Wei-Der
Li, Chiang-shan R.
Xu, Ke
Lee, Tony Szu-Hsien
SpringerLink (Online service)
- DOI
-
10.1186/1471-244X-13-190
- URN
-
urn:nbn:de:1111-2016081323457
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:44 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Chou, Ying-Chun
- Shih, Shu-Fang
- Tsai, Wei-Der
- Li, Chiang-shan R.
- Xu, Ke
- Lee, Tony Szu-Hsien
- SpringerLink (Online service)
Ähnliche Objekte (12)
Refining Risk Prediction for Recurrent Venous Thromboembolism: Can We Do Better?
Quantitative wear evaluation of tips based on sharp structures
Minor differences in haplotype frequency estimates can produce very large differences in heterogeneity test statistics
Covering functionals of cones and double cones
Mapping super-resolution image quality
A fractionally cointegrated VAR analysis of price discovery in commodity futures markets
A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets
Subcutaneous calcinosis in a patient with anti-MDA5 positive dermatomyositis
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media
Bump feature detection of the road surface based on the Bi-LSTM
Information-rich localization microscopy through machine learning
Shared structure of fundamental human experience revealed by polysemy network of basic vocabularies across languages
Refining Risk Prediction for Recurrent Venous Thromboembolism: Can We Do Better?
Quantitative wear evaluation of tips based on sharp structures
Minor differences in haplotype frequency estimates can produce very large differences in heterogeneity test statistics
Covering functionals of cones and double cones
Mapping super-resolution image quality
A fractionally cointegrated VAR analysis of price discovery in commodity futures markets
A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets
Subcutaneous calcinosis in a patient with anti-MDA5 positive dermatomyositis
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media
Bump feature detection of the road surface based on the Bi-LSTM
Information-rich localization microscopy through machine learning
Shared structure of fundamental human experience revealed by polysemy network of basic vocabularies across languages
Refining Risk Prediction for Recurrent Venous Thromboembolism: Can We Do Better?
Quantitative wear evaluation of tips based on sharp structures
Minor differences in haplotype frequency estimates can produce very large differences in heterogeneity test statistics
Covering functionals of cones and double cones
Mapping super-resolution image quality
A fractionally cointegrated VAR analysis of price discovery in commodity futures markets
A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets
Subcutaneous calcinosis in a patient with anti-MDA5 positive dermatomyositis
Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media
Bump feature detection of the road surface based on the Bi-LSTM
Information-rich localization microscopy through machine learning