Characteristics of good causation studies

Seminars in Reproductive Medicine

Volumn 21, Issue 1, 2003, Pages 73-83

  Daya, Salim ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Bias and confounding; Case control study; Cause and effect relationship; Diagnostic tests for causation; Odds ratios and relative risks

Indexed keywords

CASE CONTROL STUDY; CLINICAL RESEARCH; COHORT ANALYSIS; DATA ANALYSIS; HUMAN; PATIENT SELECTION; RANDOMIZATION; RELIABILITY; REPRODUCIBILITY; REVIEW; RISK ASSESSMENT; STATISTICAL ANALYSIS;

BIAS (EPIDEMIOLOGY); CASE-CONTROL STUDIES; CAUSALITY; COHORT STUDIES; CONFOUNDING FACTORS (EPIDEMIOLOGY); HUMANS; PROSPECTIVE STUDIES; RANDOMIZED CONTROLLED TRIALS; RETROSPECTIVE STUDIES;

EID: 0037940277     PISSN: 15268004     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (5)

1. Elwood M. Critical Appraisal of Epidemiological Studies and Clinical Trials. Oxford: Oxford Medical Publications; 1998
2. Daya S. Infertility trials and study design. In: Templeton AP, O'Brien PMS, eds. Evidence-Based Fertility Treatment. London: RCOG Press; 1998:65-86
3. Daya S. The two-by-two table. Evidence-Based Obstet Gynecol 2000;2:33-34
4. Levine M, Walter S, Lee H, Haines T, Holbrook A, Moyer V, for the Evidence-Based Medicine Working Group. Users' guide to the medical literature IV: how to use an article about harm. JAMA 1994;271:1615-1619
5. Daya S. Fertility drugs and ovarian cancer. In: Coutinho EM, Spinola P, eds. Reproductive Medicine: A Millennium Review. London: Parthenon Publishing; 1999:45-48