Literature DB >> 8624068

Survivor treatment selection bias in observational studies: examples from the AIDS literature.

M J Glesby1, D R Hoover.   

Abstract

Unlike patients in a randomized, clinical trial, patients in an observational study choose if and when to begin treatment. Patients who live longer have more opportunities to select treatment; those who die earlier may be untreated by default. These facts are the essence of an often overlooked bias, termed "survivor treatment selection bias," which can erroneously lead to the conclusion that an ineffective treatment prolongs survival. Unfortunately, misanalysis of survivor treatment selection bias has been prevalent in the recent literature on the acquired immunodeficiency syndrome. Approaches to mitigating this bias involve complex statistical models. At a minimum, initiation of therapy should be treated as a time-dependent covariate in a proportional hazards model. Investigators and readers should be on the alert for survivor treatment selection bias and should be cautious when interpreting the results of observational treatment studies.

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Year:  1996        PMID: 8624068     DOI: 10.7326/0003-4819-124-11-199606010-00008

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  31 in total

1.  Survival of AIDS patients in Croatia prior to the introduction of combined antiretroviral therapy with protease inhibitors.

Authors:  J Begovac; T Kniewald; N Ugarković; M Lisić; Z Sonicki; A Jazbec
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

2.  History of bias.

Authors:  Paolo Vineis
Journal:  Soz Praventivmed       Date:  2002

3.  Bias.

Authors:  Miguel Delgado-Rodríguez; Javier Llorca
Journal:  J Epidemiol Community Health       Date:  2004-08       Impact factor: 3.710

Review 4.  Does Higher Spending Improve Survival Outcomes for Myocardial Infarction? Examining the Cost-Outcomes Relationship Using Time-Varying Covariates.

Authors:  Deborah Cohen; Douglas G Manuel; Peter Tugwell; Claudia Sanmartin; Tim Ramsay
Journal:  Health Serv Res       Date:  2015-02-09       Impact factor: 3.402

Review 5.  The contribution of observational studies to the knowledge of drug effectiveness in heart failure.

Authors:  Daniela Dobre; Dirk J van Veldhuisen; Mike J L DeJongste; Eric van Sonderen; Olaf H Klungel; Robbert Sanderman; Adelita V Ranchor; Flora M Haaijer-Ruskamp
Journal:  Br J Clin Pharmacol       Date:  2007-08-31       Impact factor: 4.335

6.  Trauma care does not discriminate: The association of race and health insurance with mortality following traumatic injury.

Authors:  Turner Osler; Laurent G Glance; Wenjun Li; Jeffery S Buzas; Megan L Wetzel; David W Hosmer
Journal:  J Trauma Acute Care Surg       Date:  2015-05       Impact factor: 3.313

7.  Effectiveness of highly active antiretroviral therapy among HIV-1 infected women.

Authors:  S J Gange; Y Barrón; R M Greenblatt; K Anastos; H Minkoff; M Young; A Kovacs; M Cohen; W A Meyer; A Muñoz
Journal:  J Epidemiol Community Health       Date:  2002-02       Impact factor: 3.710

8.  Mental illness and length of inpatient stay for medicaid recipients with AIDS.

Authors:  Donald R Hoover; Usha Sambamoorthi; James T Walkup; Stephen Crystal
Journal:  Health Serv Res       Date:  2004-10       Impact factor: 3.402

9.  Immortal time bias in critical care research: application of time-varying Cox regression for observational cohort studies.

Authors:  Ayumi K Shintani; Timothy D Girard; Svetlana K Eden; Patrick G Arbogast; Karel G M Moons; E Wesley Ely
Journal:  Crit Care Med       Date:  2009-11       Impact factor: 7.598

10.  Long term survival after evidence based treatment of acute myocardial infarction and revascularisation: follow-up of population based Perth MONICA cohort, 1984-2005.

Authors:  Tom Briffa; S Hickling; M Knuiman; M Hobbs; J Hung; F M Sanfilippo; K Jamrozik; P L Thompson
Journal:  BMJ       Date:  2009-01-26
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