Intervention effects in observational survival studies with an application in total hip replacements

Statistics in Medicine

Volumn 22, Issue 24, 2003, Pages 3725-3737

  Friede, Tim ^a   Henderson, Robin ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Changepoint; Observational study; Proportional hazards model; Total hip replacement

Indexed keywords

BONE CEMENT;

ADULT; ARTICLE; CLINICAL OBSERVATION; CONTROLLED STUDY; FEMALE; HIP DISEASE; HIP OSTEOARTHRITIS; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; NONBIOLOGICAL MODEL; OUTCOMES RESEARCH; PROSTHESIS FAILURE; REOPERATION; SURGICAL EQUIPMENT; SURGICAL TECHNIQUE; SURVIVAL; TIME; TOTAL HIP PROSTHESIS; TREATMENT OUTCOME;

EID: 0348149056     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1681     Document Type: Article

References (17)

1. Faulkner A, Kennedy LG, Baxter K et al. Effectiveness of hip prostheses in primary total hip replacement: a critical review of evidence and an economic model. Health Technology Assessment 1998; 2(6).
2. Maurer TB, Ochsner PE, Schwarzer G, Schumacher M. Increased loosening of cemented straight stem prostheses made from titanium alloys. An analysis and comparison with protheses made of cobalt-chromium-nickel alloy. International Orthopaedics 2001; 25:77-80.
3. Fitzpatrick R, Shortall E, Sculpher M et al. Primary total hip replacement surgery: as systematic review of outcomes and modelling of cost-effectiveness associated with different prostheses. Health Technology Assessment 1998; 2(20).
4. Heuer C, Abel U. The analysis of intervention effects using observational data bases. In Nonrandomized Comparative Clinical Studies, Abel U, Koch A (eds). Symposium Publishing: Duesseldorf, 1998; 101-107.
5. Therneau TM, Grambsch PM. Modelling Survival Data. Springer: New York, 2000.
6. Wroblewski BM, Siney PD, Fleming PA. Charnley low-frictional torque arthroplasty in patients under the age of 51 years: follow-up to 33 years. Journal of Bone and Joint Surgery (Br) 2002; 84:540-543.
7. Schwarzer G, Schumacher M, Mauerer TB, Ochsner PE. Statistical analysis of failure times in total joint replacements. Journal of Clinical Epidemiology 2001; 54:997-1003.
8. Sun J, Yang I. Nonparametric tests for stratum effects in the Cox model. Lifetime Data Analysis 2000; 6: 321-330.
9. Andersen PK, Borgan Ø, Gill RD, Keiding N. Statistical Models Based on Counting Processes. Springer: New York, 1993.
10. Worsley KJ. Confidence regions and tests for a change-point in a sequence of exponential family variables. Biometrika 1986; 73:91-104.
11. Worsley KJ. Letter to the editor. Statistics in Medicine 1988; 7:1414-1415.
12. Henderson R. A problem with the likelihood ratio test for a change-point hazard rate model. Biometrika 1990; 77:835-843.
13. Henderson R, Matthews JNS. An investigation of changepoints in the annual number of cases of haemolytic uraemic syndrome. Applied Statistics 1993; 42:461-471.
14. Davies RB. Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika 1987; 74:33-43.
15. Andrews DA, Ploberger W. Optimal tests when a nuisance parameter is present only under the alternative. Econometrica 1994; 62:1383-1414.
16. Hansen BE. Approximate asymptotic p values for structural-change tests. Journal of Business and Economic Statistics 1997; 15:60-67.
17. Brenner H, Hakulinen T. Advanced detection of time trends in long-term cancer patient survival: experience from 50 years of cancer registration in Finland. American Journal of Epidemiology 2002; 156:566-577.