Negative controls: a tool for detecting confounding and bias in observational studies.
about
Assessment and indirect adjustment for confounding by smoking in cohort studies using relative hazards modelsNegative control outcomes and the analysis of standardized mortality ratiosInterpreting observational studies: why empirical calibration is needed to correct p-valuesModelling estimates of the burden of respiratory syncytial virus infection in children in the UKAir Pollution and Autism Spectrum Disorders: Causal or Confounded?Modification of the effect of ambient air pollution on pediatric asthma emergency visits: susceptible subpopulationsBrief Report: Negative Controls to Detect Selection Bias and Measurement Bias in Epidemiologic StudiesProton pump inhibitors and risk of periampullary cancers--A nested case-control studyPhysical Trauma and Amyotrophic Lateral Sclerosis: A Population-Based Study Using Danish National RegistriesThe effect of adherence to statin therapy on cardiovascular mortality: quantification of unmeasured bias using falsification end-pointsEvaluation of exposure to contaminated drinking water and specific birth defects and childhood cancers at Marine Corps Base Camp Lejeune, North Carolina: a case-control studyAcute Gastroenteritis and Recreational Water: Highest Burden Among Young US ChildrenRoad trauma in teenage male youth with childhood disruptive behavior disorders: a population based analysisOn negative outcome control of unobserved confounding as a generalization of difference-in-differencesThe Effect of India's Total Sanitation Campaign on Defecation Behaviors and Child Health in Rural Madhya Pradesh: A Cluster Randomized Controlled TrialAdjusting for unmeasured confounding in non-randomised longitudinal studies: a methodological review.Influenza Pandemics and Tuberculosis Mortality in 1889 and 1918: Analysis of Historical Data from SwitzerlandEstimating the population-level impact of vaccines using synthetic controls.Risk of adverse events following oseltamivir treatment in influenza outpatients, Vaccine Safety Datalink Project, 2007-2010.Coliphages and gastrointestinal illness in recreational waters: pooled analysis of six coastal beach cohortsThe association of maternal prenatal psychosocial stress with vascular function in the child at age 10-11 years: findings from the Avon longitudinal study of parents and children.Detecting and correcting the bias of unmeasured factors using perturbation analysis: a data-mining approach.Analysis of free text in electronic health records for identification of cancer patient trajectories.Use of administrative data in healthcare research.Limitations of empirical calibration of p-values using observational dataExposure to Greenness and Mortality in a Nationwide Prospective Cohort Study of Women.Outdoor and indoor monitoring of livestock-associated Culicoides spp. to assess vector-free periods and disease risks.Comparative Effectiveness Research Using Observational Data: Active Comparators to Emulate Target Trials with Inactive Comparators.Challenges to estimating vaccine impact using hospitalization data.Association Between Unconventional Natural Gas Development in the Marcellus Shale and Asthma ExacerbationsNegative Control Outcomes: A Tool to Detect Bias in Randomized Trials.Waning of maternal antibodies against measles, mumps, rubella, and varicella in communities with contrasting vaccination coverage.Do generous unemployment benefit programs reduce suicide rates? A state fixed-effect analysis covering 1968-2008Water distribution system deficiencies and gastrointestinal illness: a systematic review and meta-analysisInterstate variation in modifiable risk factors and cardiovascular mortality in the United StatesIn utero exposure to selective serotonin reuptake inhibitors and risk for autism spectrum disorder.Seasonal Influenza Vaccine Effectiveness in the community (SIVE): protocol for a cohort study exploiting a unique national linked data set.Autism spectrum disorder and particulate matter air pollution before, during, and after pregnancy: a nested case-control analysis within the Nurses' Health Study II CohortGateway Effects: Why the Cited Evidence Does Not Support Their Existence for Low-Risk Tobacco Products (and What Evidence Would)Integrating bacterial and viral water quality assessment to predict swimming-associated illness at a freshwater beach: a cohort study
P2860
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P2860
Negative controls: a tool for detecting confounding and bias in observational studies.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Negative controls: a tool for detecting confounding and bias in observational studies.
@en
Negative controls: a tool for detecting confounding and bias in observational studies.
@nl
type
label
Negative controls: a tool for detecting confounding and bias in observational studies.
@en
Negative controls: a tool for detecting confounding and bias in observational studies.
@nl
prefLabel
Negative controls: a tool for detecting confounding and bias in observational studies.
@en
Negative controls: a tool for detecting confounding and bias in observational studies.
@nl
P2860
P1433
P1476
Negative controls: a tool for detecting confounding and bias in observational studies.
@en
P2093
Eric Tchetgen Tchetgen
P2860
P304
P356
10.1097/EDE.0B013E3181D61EEB
P577
2010-05-01T00:00:00Z