Scholars@Duke

A population-based model of respiratory cancer incidence, progression, diagnosis, treatment, and mortality.

Publication ,  Journal Article
Manton, KG; Stallard, E
Published in: Computers and biomedical research, an international journal
August 1982
Published version (DOI)

Duke Scholars

Patrick J. Eric Stallard
Author Patrick J. Eric Stallard Social Science Research Institute
Kenneth G. Manton
Author Kenneth G. Manton Trinity College of Arts & Sciences

Published In

Computers and biomedical research, an international journal

DOI

10.1016/0010-4809(82)90003-9

EISSN

1090-2368

ISSN

0010-4809

Publication Date

August 1982

Volume

15

Issue

4

Start / End Page

342 / 360

Related Subject Headings

  • United States
  • Stochastic Processes
  • Models, Biological
  • Medical Informatics
  • Male
  • Lung Neoplasms
  • Humans
  • Computers
  • Biomedical Engineering
  • 4601 Applied computing
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Manton, K. G., & Stallard, E. (1982). A population-based model of respiratory cancer incidence, progression, diagnosis, treatment, and mortality. Computers and Biomedical Research, an International Journal, 15(4), 342–360. https://doi.org/10.1016/0010-4809(82)90003-9
Manton, K. G., and E. Stallard. “A population-based model of respiratory cancer incidence, progression, diagnosis, treatment, and mortality.” Computers and Biomedical Research, an International Journal 15, no. 4 (August 1982): 342–60. https://doi.org/10.1016/0010-4809(82)90003-9.
Manton KG, Stallard E. A population-based model of respiratory cancer incidence, progression, diagnosis, treatment, and mortality. Computers and biomedical research, an international journal. 1982 Aug;15(4):342–60.
Manton, K. G., and E. Stallard. “A population-based model of respiratory cancer incidence, progression, diagnosis, treatment, and mortality.” Computers and Biomedical Research, an International Journal, vol. 15, no. 4, Aug. 1982, pp. 342–60. Epmc, doi:10.1016/0010-4809(82)90003-9.
Manton KG, Stallard E. A population-based model of respiratory cancer incidence, progression, diagnosis, treatment, and mortality. Computers and biomedical research, an international journal. 1982 Aug;15(4):342–360.

Published In

Computers and biomedical research, an international journal

DOI

10.1016/0010-4809(82)90003-9

EISSN

1090-2368

ISSN

0010-4809

Publication Date

August 1982

Volume

15

Issue

4

Start / End Page

342 / 360

Related Subject Headings

  • United States
  • Stochastic Processes
  • Models, Biological
  • Medical Informatics
  • Male
  • Lung Neoplasms
  • Humans
  • Computers
  • Biomedical Engineering
  • 4601 Applied computing