Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies.
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Considerations for observational research using large data sets in radiation oncologyFactors associated with serum polybrominated diphenyl ether (PBDE) levels among school-age children in the CHAMACOS cohortDeterminants of organophosphorus pesticide urinary metabolite levels in young children living in an agricultural communityAssociations of toenail arsenic, cadmium, mercury, manganese, and lead with blood pressure in the normative aging studyManganese in teeth and neurodevelopment in young Mexican-American childrenA description of the methods of the aspirin supplementation for pregnancy indicated risk reduction in nulliparas (ASPIRIN) studyReview of inverse probability weighting for dealing with missing data.Inhaled tobramycin effectively reduces FEV1 decline in cystic fibrosis. An instrumental variables analysisMATERNAL EXPERIENCE OF ABUSE IN CHILDHOOD AND DEPRESSIVE SYMPTOMS IN ADOLESCENT AND ADULT OFFSPRING: A 21-YEAR LONGITUDINAL STUDYMethodological approaches to population based research of screening procedures in the presence of selection bias and exposure measurement error: colonoscopy and colorectal cancer outcomes in OntarioImmigrants' children's transition to secondary school in Italy.Studying the life course health consequences of childhood adversity: challenges and opportunities.Hospice enrollment and evaluation of its causal effect on hospitalization of dying nursing home patients.Statistical issues in life course epidemiology.Gains Made By Walmart's Healthier Food Initiative Mirror Preexisting TrendsWalmart and Other Food Retail Chains: Trends and Disparities in the Nutritional Profile of Packaged Food PurchasesHospice effect on government expenditures among nursing home residents.Neurologist ambulatory care, health care utilization, and costs in a large commercial dataset.Evaluating long-term effects of a psychiatric treatment using instrumental variable and matching approaches.Cost savings from assertive community treatment services in an era of declining psychiatric inpatient useSome old and some new statistical tools for outcomes researchRationale and methods of the Substance Use and Psychological Injury Combat Study (SUPIC): a longitudinal study of Army service members returning from deployment in FY2008-2011Longitudinal structural mixed models for the analysis of surgical trials with noncompliance.Medicaid lapses and low-income young adults' receipt of outpatient mental health care after an inpatient stayAssociation of Electroconvulsive Therapy With Psychiatric Readmissions in US Hospitals.A literature review of heart rate variability in depressive and bipolar disorders.Residential proximity to agricultural fumigant use and IQ, attention and hyperactivity in 7-year old children.Launching Effectiveness Research to Guide Practice in Neurosurgery: A National Institute Neurological Disorders and Stroke Workshop Report.Instrumental Variable Analyses and Selection Bias.A causal model for longitudinal randomised trials with time-dependent non-compliance.Instrumental variable specifications and assumptions for longitudinal analysis of mental health cost offsets.Understanding bias in relationships between the food environment and diet quality: the Coronary Artery Risk Development in Young Adults (CARDIA) study.Best practices for using natural experiments to evaluate retail food and beverage policies and interventions.On two-stage estimation of structural instrumental variable models.WOMEN'S AGE AT FIRST MARRIAGE AND LONG-TERM ECONOMIC EMPOWERMENT IN EGYPT.Two-stage instrumental variable methods for estimating the causal odds ratio: analysis of bias.Sources of Safety Data and Statistical Strategies for Design and Analysis: Real World Insights.
P2860
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P2860
Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Instrumental variables and inv ...... tudinal observational studies.
@ast
Instrumental variables and inv ...... tudinal observational studies.
@en
type
label
Instrumental variables and inv ...... tudinal observational studies.
@ast
Instrumental variables and inv ...... tudinal observational studies.
@en
prefLabel
Instrumental variables and inv ...... tudinal observational studies.
@ast
Instrumental variables and inv ...... tudinal observational studies.
@en
P2860
P1476
Instrumental variables and inv ...... itudinal observational studies
@en
P2093
Tony Lancaster
P2860
P356
10.1191/0962280204SM351RA
P50
P577
2004-02-01T00:00:00Z