An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation.
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Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trialsScreening, isolation, and decolonisation strategies in the control of meticillin resistant Staphylococcus aureus in intensive care units: cost effectiveness evaluationCosts associated with health care-associated infections in cardiac surgeryQuantifying the Burden of Hospital-Acquired Bloodstream Infection in Children in England by Estimating Excess Length of Hospital Stay and Mortality Using a Multistate Analysis of Linked, Routinely Collected Data.Eosinophil count and neutrophil-lymphocyte count ratio as prognostic markers in patients with bacteremia: a retrospective cohort studyRegistration on the renal transplantation waiting list and mortality on dialysis: an analysis of the French REIN registry using a multi-state model.Multiple-center evaluation of mortality associated with acute kidney injury in critically ill patients: a competing risks analysis.The association between colonization with carbapenemase-producing enterobacteriaceae and overall ICU mortality: an observational cohort studyEpidemiology and Burden of Bloodstream Infections Caused by Extended-Spectrum Beta-Lactamase Producing Enterobacteriaceae in a Pediatric Hospital in Senegal.Does Higher Spending Improve Survival Outcomes for Myocardial Infarction? Examining the Cost-Outcomes Relationship Using Time-Varying CovariatesProlongation of length of stay and Clostridium difficile infection: a review of the methods used to examine length of stay due to healthcare associated infectionsInfections caused by extended-spectrum beta-lactamases producing Enterobacteriaceae: clinical and economic impact in patients hospitalized in 2 teaching hospitals in Dakar, SenegalThe relation between total joint arthroplasty and risk for serious cardiovascular events in patients with moderate-severe osteoarthritis: propensity score matched landmark analysis.Time to publication for publicly funded clinical trials in Australia: an observational study.Application of multistate models in hospital epidemiology: advances and challenges.Suggestions on the use of statistical methodologies in studies of the European Group for Blood and Marrow Transplantation.Electronic implementation of a novel surveillance paradigm for ventilator-associated events. Feasibility and validation.The Magnitude of Time-Dependent Bias in the Estimation of Excess Length of Stay Attributable to Healthcare-Associated Infections.Survival probabilities with time-dependent treatment indicator: quantities and non-parametric estimators.Comparison of Statistical Approaches for Dealing With Immortal Time Bias in Drug Effectiveness Studies.Impact on morbidity, mortality and length of stay of hospital acquired infections by resistant microorganisms.Risk of osteoporotic fractures following stroke in older persons.Impact of vanB vancomycin-resistant enterococcal bacteraemia analysed as a time-varying covariate on length of hospital stay.The times they are a changin': time-dependent exposures and time-dependent confounders.Association between non-steroidal anti-inflammatory drugs and keratinocyte carcinomas of the skin among participants in the Veterans Affairs Topical Tretinoin Chemoprevention Trial.Prevalence, incidence burden, and clinical impact of healthcare-associated infections and antimicrobial resistance: a national prevalent cohort study in acute care hospitals in Greece.Generating survival times to simulate Cox proportional hazards models with time-varying covariates.The impact of time-dependent bias in proportional hazards modelling.Frequency, risk-factors and survival of children with atypical teratoid rhabdoid tumors (AT/RT) of the CNS diagnosed between 1988 and 2004, and registered to the German HIT database.Mortality associated with in-hospital bacteraemia caused by Staphylococcus aureus: a multistate analysis with follow-up beyond hospital discharge.Nosocomial infection, length of stay, and time-dependent bias.Incident cancer risk after the start of aspirin use: results from a Dutch population-based cohort study of low dose aspirin users.Hydroxychloroquine and risk of cancer in patients with primary Sjögren syndrome: propensity score matched landmark analysis.Toward improved surveillance: the impact of ventilator-associated complications on length of stay and antibiotic use in patients in intensive care units.A Time-varying Covariate Approach for Survival Analysis of Paediatric Outcomes.An unjustified benefit: immortal time bias in the analysis of time-dependent events.Analyzing the impact of depth of response on survival in patients with metastatic non-small-cell lung cancer.Hospital-acquired infections--appropriate statistical treatment is urgently needed!Estimating the Hospital Burden of Norovirus-Associated Gastroenteritis in England and its Opportunity Costs for Non-Admitted Patients."Cost-effectiveness of interventions to improve hand hygiene in healthcare workers in middle-income hospital settings: a model-based analysis".
P2860
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P2860
An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
An easy mathematical proof sho ...... s to biased effect estimation.
@en
type
label
An easy mathematical proof sho ...... s to biased effect estimation.
@en
prefLabel
An easy mathematical proof sho ...... s to biased effect estimation.
@en
P1476
An easy mathematical proof sho ...... s to biased effect estimation.
@en
P2093
Jan Beyersmann
Martin Schumacher
P304
P356
10.1016/J.JCLINEPI.2008.02.008
P577
2008-07-10T00:00:00Z