Design choices for observational studies of the effect of exposure on disease incidence

被引:29
作者
Gail, Mitchell H. [1 ]
Altman, Douglas G. [2 ]
Cadarette, Suzanne M. [3 ,4 ]
Collins, Gary [5 ]
Evans, Stephen J. W. [6 ]
Sekula, Peggy [7 ,8 ]
Williamson, Elizabeth [9 ]
Woodward, Mark [10 ,11 ]
机构
[1] NCI, Biostat Branch, Rockville, MD 20850 USA
[2] Ctr Stat Med, Nuffield Dept Orthopaed, Oxford, England
[3] Univ Toronto, Fac Pharm, Toronto, ON, Canada
[4] Univ Toronto, Sch Publ Hlth, Toronto, ON, Canada
[5] Univ Oxford, Ctr Stat Med, Oxford, England
[6] London Sch Hyg & Trop Med, Med Stat Unit, London, England
[7] Univ Freiburg, Med Ctr, Inst Genet Epidemiol, Freiburg, Germany
[8] Univ Freiburg, Med Ctr, Fac Med, Freiburg, Germany
[9] London Sch Hyg & Trop Med, Dept Med Stat, London, England
[10] Univ Oxford, George Inst Global Hlth, Oxford, England
[11] Univ New South Wales, Sydney, NSW, Australia
来源
BMJ OPEN | 2019年 / 9卷 / 12期
基金
美国国家卫生研究院;
关键词
LUNG-CANCER; SMOKING; COHORT; EPIDEMIOLOGY; MORTALITY; SELECTION; RISK; MODELS;
D O I
10.1136/bmjopen-2019-031031
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The purpose of this paper is to help readers choose an appropriate observational study design for measuring an association between an exposure and disease incidence. We discuss cohort studies, sub-samples from cohorts (case-cohort and nested case-control designs), and population-based or hospital-based case-control studies. Appropriate study design is the foundation of a scientifically valid observational study. Mistakes in design are often irremediable. Key steps are understanding the scientific aims of the study and what is required to achieve them. Some designs will not yield the information required to realise the aims. The choice of design also depends on the availability of source populations and resources. Choosing an appropriate design requires balancing the pros and cons of various designs in view of study aims and practical constraints. We compare various cohort and case-control designs to estimate the effect of an exposure on disease incidence and mention how certain design features can reduce threats to study validity.
引用
收藏
页数:9
相关论文
共 43 条
  • [1] A LINEAR-REGRESSION MODEL FOR THE ANALYSIS OF LIFE TIMES
    AALEN, OO
    [J]. STATISTICS IN MEDICINE, 1989, 8 (08) : 907 - 925
  • [2] [Anonymous], HDB STAT METHODS CAS
  • [3] [Anonymous], 2009, Modern epidemiology
  • [4] Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case series unselected for family history:: A combined analysis of 22 studies
    Antoniou, A
    Pharoah, PDP
    Narod, S
    Risch, HA
    Eyfjord, JE
    Hopper, JL
    Loman, N
    Olsson, H
    Johannsson, O
    Borg, Å
    Pasini, B
    Radice, P
    Manoukian, S
    Eccles, DM
    Tang, N
    Olah, E
    Anton-Culver, H
    Warner, E
    Lubinski, J
    Gronwald, J
    Gorski, B
    Tulinius, H
    Thorlacius, S
    Eerola, H
    Nevanlinna, H
    Syrjäkoski, K
    Kallioniemi, OP
    Thompson, D
    Evans, C
    Peto, J
    Lalloo, F
    Evans, DG
    Easton, DF
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2003, 72 (05) : 1117 - 1130
  • [5] Mortality From Lymphohematopoietic Malignancies Among Workers in Formaldehyde Industries: The National Cancer Institute Cohort
    Beane Freeman, Laura E.
    Blair, Aaron
    Lubin, Jay H.
    Stewart, Patricia A.
    Hayes, Richard B.
    Hoover, Robert N.
    Hauptmann, Michael
    [J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2009, 101 (10): : 751 - 761
  • [6] METHODOLOGY FOR CASE-CONTROL STUDIES WITH PREVALENT CASES
    BEGG, CB
    GRAY, RJ
    [J]. BIOMETRIKA, 1987, 74 (01) : 191 - 195
  • [7] Borgan O, 2018, HDB STAT METHODS CAS
  • [8] Breslow N E, 1980, IARC Sci Publ, P5
  • [9] Breslow N. E., 1987, STAT METHODS CANC RE, V2
  • [10] MULTIPLICATIVE MODELS AND COHORT ANALYSIS
    BRESLOW, NE
    LUBIN, JH
    MAREK, P
    LANGHOLZ, B
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1983, 78 (381) : 1 - 12