Short-term prediction of HIV infection and AIDS in England and Wales: Report of a Working Group

Publikation: Bidrag til tidsskriftAnmeldelseForskning

Standard

Short-term prediction of HIV infection and AIDS in England and Wales : Report of a Working Group. / Becker, Niels G.; Keiding, Niels.

I: Statistics in Medicine, Bind 8, Nr. 12, 12.1989, s. 1553-1556.

Publikation: Bidrag til tidsskriftAnmeldelseForskning

Harvard

Becker, NG & Keiding, N 1989, 'Short-term prediction of HIV infection and AIDS in England and Wales: Report of a Working Group', Statistics in Medicine, bind 8, nr. 12, s. 1553-1556. https://doi.org/10.1002/sim.v8:12

APA

Becker, N. G., & Keiding, N. (1989). Short-term prediction of HIV infection and AIDS in England and Wales: Report of a Working Group. Statistics in Medicine, 8(12), 1553-1556. https://doi.org/10.1002/sim.v8:12

Vancouver

Becker NG, Keiding N. Short-term prediction of HIV infection and AIDS in England and Wales: Report of a Working Group. Statistics in Medicine. 1989 dec.;8(12):1553-1556. https://doi.org/10.1002/sim.v8:12

Author

Becker, Niels G. ; Keiding, Niels. / Short-term prediction of HIV infection and AIDS in England and Wales : Report of a Working Group. I: Statistics in Medicine. 1989 ; Bind 8, Nr. 12. s. 1553-1556.

Bibtex

@article{45990ac11fea4ca08ff3b515b5395888,
title = "Short-term prediction of HIV infection and AIDS in England and Wales: Report of a Working Group",
author = "Becker, {Niels G.} and Niels Keiding",
year = "1989",
month = dec,
doi = "10.1002/sim.v8:12",
language = "English",
volume = "8",
pages = "1553--1556",
journal = "Statistics in Medicine",
issn = "0277-6715",
publisher = "JohnWiley & Sons Ltd",
number = "12",

}

RIS

TY - JOUR

T1 - Short-term prediction of HIV infection and AIDS in England and Wales

T2 - Report of a Working Group

AU - Becker, Niels G.

AU - Keiding, Niels

PY - 1989/12

Y1 - 1989/12

U2 - 10.1002/sim.v8:12

DO - 10.1002/sim.v8:12

M3 - Literature review

VL - 8

SP - 1553

EP - 1556

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 0277-6715

IS - 12

ER -

ID: 202331272