A dynamic population model for estimating all-cause mortality due to lifetime exposure history. | Regul Toxicol Pharmacol;67(2): 246-51, 2013 Nov. | MEDLINE

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A dynamic population model for estimating all-cause mortality due to lifetime exposure history.

Bachand, Annette M; Sulsky, Sandra I.

Affiliation

Bachand AM; Environ International Corporation, United States; Colorado State University, United States.

Regul Toxicol Pharmacol ; 67(2): 246-51, 2013 Nov.

Article in En | MEDLINE | ID: mdl-23933005

Subject(s)
Key words

Harm reduction; Policy; Population simulation; Unintended consequences

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Smoking / Models, Theoretical Type of study: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte / Europa Language: En Journal: Regul Toxicol Pharmacol Year: 2013 Document type: Article Affiliation country: Country of publication:

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Smoking / Models, Theoretical Type of study: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte / Europa Language: En Journal: Regul Toxicol Pharmacol Year: 2013 Document type: Article Affiliation country: Country of publication: