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Impact of and Correction for Outcome Misclassification in Cumulative Incidence Estimation

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Impact of and Correction for Outcome Misclassification in ~ To our knowledge, the only study to explicitly examine the impact of misclassification on cumulative incidence estimation is the one by Hinchliffe and colleagues involving cancer studies with competing events . That study used simulations to assess the consequences of over and under-recording of cancer as the primary cause of death on death .

Impact of and Correction for Outcome Misclassification in ~ When outcomes in such studies are subject to misclassification, the resulting cumulative incidence estimates may be biased. In this work, we study the mechanism of bias in cumulative incidence estimation due to outcome misclassification.

Impact of and Correction for Outcome Misclassification in ~ Impact of and Correction for Outcome Misclassification in Cumulative Incidence Estimation . By Giorgos Bakoyannis and Constantin T. Yiannoutsos. Cite . . Download PDF: . To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request. Useful links. Blog;

Impact of and Correction for Outcome Misclassification in ~ In this work, we study the mechanism of bias in cumulative incidence estimation due to outcome misclassification. We show that even moderate levels of misclassification can lead to seriously biased estimates in a frequently unpredictable manner. We propose an easy to use estimator for correcting this bias that is uniformly consistent.

The impact of outcome misclassification on estimation of ~ CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Chronic heart failure • Progressive disorder in which structural damage to the heart impairs its ability to provide adequate blood flow to the body • One of the most common causes for admission and readmission • One million hospitalizations and ∼60,000 deaths per year in US • Large heterogeneity in risk of .

Nonparametric estimation of the cumulative incidence ~ Outcome misclassification occurs frequently in binary‐outcome studies and can result in biased estimation of quantities such as the incidence, prevalence, cause‐specific hazards, cumulative .

Misclassification of the actual causes of death and its ~ Given these limitations, the present study investigates the impact of cause-of-death misclassification on the estimation of cumulative incidence of lung cancer deaths (LC-CID). This study is the first to examine cause-of-death misclassification in the competing risk framework among patients with early-stage non-small cell lung cancer (NSCLC).

(PDF) Assessing the Impact of Misclassification Error on ~ Polyparasitism can lead to severe disability in endemic populations. Yet, the association between soil-transmitted helminth (STH) and the cumulative incidence of Schistosoma japonicum infection .

Misclassification of Exposure ~ outcome (e.g., interpreting any history of chest pain in an elderly patient as withCHD) • Erroneous measurements usually yield biased estimates for both the estimation of marginal parameters (e.g., prevalence or incidence nowrates) and estimation of association. Misclassification bias 718 520 13 12 15 10

Assessing the Impact of Misclassification Error on an ~ The 12-month cumulative incidence of S. japonicum infection/reinfection following mass treatment can only be calculated among the “at-risk” participants who provided at least one stool sample at baseline and follow-up and received treatment. For the purpose of this study, we assumed 100% efficacy of praziquantel for the treatment of .

Misclassification of the actual causes of death and its ~ Estimation of cumulative incidence of cancer-death requires accurate cause-of-death coding. • Cause-of-death misclassification led to underestimation in cumulative incidence of lung cancer deaths. • Bias in estimation increased with age, especially among those older than 75 years.

Assessing the Impact of Misclassification Error on an ~ transmitted helminth (STH) and the cumulative incidence of Schistosoma japonicum infection has not been described. The aim of this work was to quantify the effect of misclassification error, which occurs when less than 100% accurate tests are

Assessing the Impact of Misclassification Error on an ~ The 12-month cumulative incidence of S. japonicum infection/reinfection following mass treatment can only be calculated among the at-risk participants who provided at least one stool sample at baseline and follow-up and received treatment. . both exposure and outcome misclassification error-adjusted ORs, and only outcome-adjusted ORs were .

Recognizing misclassification bias in research and medical ~ Outcome misclassification: Impact, usual practice in pharmacoepidemiology database studies and an online aid to correct biased estimates of risk ratio or cumulative incidence. Identifying ActiGraph non-wear time in pregnant women with overweight or obesity.

CTSPedia: CTSpedia.EgMisclassNondiffOutcome ~ Non-Differential Misclassification of Outcome: Effect of Incidence - Figure . In the figure below, Copeland (1977) shows the importance of the underlying frequency of the outcome, in other words, the cumulative incidence of outcome on the results. Here are three scenarios of where the true risk ratio is 2.0.

FORMULAS FROM EPIDEMIOLOGY KEPT SIMPLE (3e) Chapter 3 ~ impact Incidence Prevalence Absolute measures of effect Relative measures of effect Attributable Fraction in exposed cases Attributable Fraction in the Population Incidence proportion (Cumulative Incidence, Incidence Risk) Incidence rate (incidence density, hazard rate, person-time rate) . misclassification of confounders, and inadequate .

Interval cancer after colonoscopy in the Austrian National ~ Figures 2 and 3 show the cumulative PSCRC incidence according to ADR and risk groups of patients, respectively. Figure 4 shows the cumulative PSCRC incidence considering both the ADR (<20% or≥20%) and risk groups of patients. 49.4% of patients with PSCRC were female; the median age at screening colonoscopy was 67 years (IQR 59–74). The .

043 Adjusting misclassification of outcome in case-control ~ Objective Misclassification of outcome may cause biased estimation for associations of potential risk factors with important diseases. For example, case-control studies of localised prostate cancer frequently measure blood levels of circulating prostate specific antigen (PSA) in healthy men and biopsy those with an elevated level. Inevitably, some men with prostate cancer will be misclassified .

Misclassification of outcome in case–control studies ~ Case–control studies are potentially open to misclassification of disease outcome which may be unrelated to risk factor exposure (non-differential), thus underestimating associations, or related to risk factor exposure (differential), thus causing more serious bias.

Epidemiological Studies of Low-Dose Ionizing Radiation and ~ The outcome evaluation paper in this monograph reviewed the possible impact of differential outcome ascertainment across radiation dose levels . The evaluation also considered loss to follow-up, under- or overascertainment of cancer outcomes, misclassification of outcomes, and changing classifications over time.

An Introduction to Basic Statistics and Probability ~ Sample Space - the set of all possible outcomes of a random phenomenon Event - any set of outcomes of interest Probability of an event - the relative frequency of this set of outcomes over an inﬁnite number of trials Pr(A) is the probability of event A An Introduction to Basic Statistics and Probability – p. 4/40

Infective Endocarditis in Children With Congenital Heart ~ Cumulative incidence was also computed with adjustment for the competing risk of death by summing to time t the product of the Kaplan-Meier estimator of the overall survival function, S(t − 1), with the hazard of death at t. 18 This adjustment did not change the results, however. Overall and lesion group–specific incidence rate of IE were .