Maximum likelihood estimation for Cox's regression model under nested case-control sampling

Research output: Book/Report › Report › Research

Standard

Maximum likelihood estimation for Cox's regression model under nested case-control sampling. / Scheike, Thomas H.; Juul, Anders.

RR 03/2 ed. Biostatistisk Afdeling : Museum Tusculanum, 2003.

Research output: Book/Report › Report › Research

Harvard

Scheike, TH & Juul, A 2003, Maximum likelihood estimation for Cox's regression model under nested case-control sampling. RR 03/2 edn, Museum Tusculanum, Biostatistisk Afdeling.

APA

Scheike, T. H., & Juul, A. (2003). Maximum likelihood estimation for Cox's regression model under nested case-control sampling. (RR 03/2 ed.) Museum Tusculanum.

Vancouver

Scheike TH, Juul A. Maximum likelihood estimation for Cox's regression model under nested case-control sampling. RR 03/2 ed. Biostatistisk Afdeling: Museum Tusculanum, 2003.

Author

Scheike, Thomas H. ; Juul, Anders. / Maximum likelihood estimation for Cox's regression model under nested case-control sampling. RR 03/2 ed. Biostatistisk Afdeling : Museum Tusculanum, 2003.

Bibtex

@book{33ba1200a9e911debc73000ea68e967b,
title = "Maximum likelihood estimation for Cox's regression model under nested case-control sampling",
abstract = "Cox model; Efficiency; Nested case-control; Proportional hazards model; Survival data",
author = "Scheike, {Thomas H.} and Anders Juul",
year = "2003",
language = "English",
publisher = "Museum Tusculanum",
edition = "RR 03/2",

}

RIS

TY - RPRT

T1 - Maximum likelihood estimation for Cox's regression model under nested case-control sampling

AU - Scheike, Thomas H.

AU - Juul, Anders

PY - 2003

Y1 - 2003

N2 - Cox model; Efficiency; Nested case-control; Proportional hazards model; Survival data

AB - Cox model; Efficiency; Nested case-control; Proportional hazards model; Survival data

M3 - Report

BT - Maximum likelihood estimation for Cox's regression model under nested case-control sampling

PB - Museum Tusculanum

CY - Biostatistisk Afdeling

ER -

ID: 14699431