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Conference Paper: Age-period-cohort analysis of cervical cancer incidence in Hong Kong using maximum likelihood and Bayeasian methods
Title | Age-period-cohort analysis of cervical cancer incidence in Hong Kong using maximum likelihood and Bayeasian methods |
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Authors | |
Issue Date | 2005 |
Publisher | International Epidemiological Association. |
Citation | The 17th International Epidemiological Association (IEA) World Congress of Epidemiology (WCE 2005), Bangkok, Thailand, 21-25 August 2005, p. 120 How to Cite? |
Persistent Identifier | http://hdl.handle.net/10722/98642 |
DC Field | Value | Language |
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dc.contributor.author | Woo, PS | en_HK |
dc.contributor.author | Leung, GM | en_HK |
dc.contributor.author | McGhee, SM | en_HK |
dc.contributor.author | Cheung, ANY | en_HK |
dc.contributor.author | Fan, S | en_HK |
dc.contributor.author | Mang, O | en_HK |
dc.contributor.author | Thach, TQ | en_HK |
dc.date.accessioned | 2010-09-25T17:56:16Z | - |
dc.date.available | 2010-09-25T17:56:16Z | - |
dc.date.issued | 2005 | en_HK |
dc.identifier.citation | The 17th International Epidemiological Association (IEA) World Congress of Epidemiology (WCE 2005), Bangkok, Thailand, 21-25 August 2005, p. 120 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/98642 | - |
dc.language | eng | en_HK |
dc.publisher | International Epidemiological Association. | en_HK |
dc.relation.ispartof | IEA World Congress of Epidemiology, WCE 2005 | en_HK |
dc.title | Age-period-cohort analysis of cervical cancer incidence in Hong Kong using maximum likelihood and Bayeasian methods | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Leung, GM: gmleung@hku.hk | en_HK |
dc.identifier.email | McGhee, SM: smmcghee@hkucc.hku.hk | en_HK |
dc.identifier.email | Thach, TQ: thach@hku.hk | en_HK |
dc.identifier.authority | Leung, GM=rp00460 | en_HK |
dc.identifier.authority | McGhee, SM=rp00393 | en_HK |
dc.identifier.authority | Thach, TQ=rp00450 | en_HK |
dc.identifier.hkuros | 108269 | en_HK |
dc.identifier.spage | 120 | en_HK |
dc.identifier.epage | 120 | - |