High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data (vol 20, pg 512, 2009)

Wyss Richard; Fireman Bruce; Rassen Jeremy A.; Schneeweiss Sebastian

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High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data (vol 20, pg 512, 2009)

机译：使用医疗保健声明数据的治疗效果研究的高维倾向评分调整（Vol 20，PG 512,2009）

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来源
《Epidemiology》 |2018年第6期|共2页
作者
Wyss Richard; Fireman Bruce; Rassen Jeremy A.; Schneeweiss Sebastian;
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作者单位

Brigham &

Womens Hosp Dept Med Div Pharmacoepidemiol &

Pharmacoecon 75 Francis St Boston MA;

Kaiser Permanente Northern Calif Oakland CA USA;

Aetion Inc New York NY USA;

Brigham &

Womens Hosp Dept Med Div Pharmacoepidemiol &

Pharmacoecon 75 Francis St Boston MA;

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原文格式 PDF
正文语种 eng
中图分类流行病学与防疫;
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1. High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data (vol 20, pg 512, 2009) [J] . Wyss Richard, Fireman Bruce, Rassen Jeremy A., Epidemiology . 2018,第6期

机译：使用医疗保健声明数据的治疗效果研究的高维倾向评分调整（Vol 20，PG 512,2009）
2. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data. [J] . Schneeweiss S, Rassen JA, Glynn RJ Epidemiology . 2009,第4期

机译：使用保健索赔数据对治疗效果进行研究时，对高维度倾向得分进行调整。
3. Comparative Real-Life Effectiveness and Safety of Dabigatran or Rivaroxaban vs. Vitamin K Antagonists: A High-Dimensional Propensity Score Matched New Users Cohort Study in the French National Healthcare Data System SNDS [J] . Blin Patrick, Dureau-Pournin Caroline, Benichou Jacques, American journal of cardiovascular drugs: drugs, devices, and other interventions . 2020,第1期

机译：Dabigatran或Rivaroxaban与维生素K拮抗剂的比较现实效力和安全性：高维倾向评分匹配法国国家医疗数据系统SNDS的新用户队列研究
4. The Effect of Home Care on Chest Pain, Body Pain and Fall: An Empirical Study from CHARLS Data Using Propensity Score Matching [C] . Peng Ouyang, Wenjun Sun International Conference on Social Science, Public Health and Education . 2019

机译：家庭护理对胸痛，身体疼痛和堕落的影响：使用倾向得分匹配的Charl数据的实证研究
5. Using a Two-Stage Propensity Score Matching Strategy and Multilevel Modeling to Estimate Treatment Effects in a Multisite Observational Study. [D] . Rickles, Jordan Harry. 2012

机译：在多站点观察性研究中，使用两阶段倾向得分匹配策略和多级建模来估计治疗效果。
6. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data [O] . Sebastian Schneeweiss, Jeremy A. Rassen, Robert J. Glynn, -1

机译：在使用医疗理赔数据的处理效果研究高维倾向得分调整
7. PNS191 A COMPARISON OF HIGH-DIMENSIONAL PROPENSITY SCORE AND TRADITIONAL PROPENSITY SCORE MATCHING METHODS USING COMMERCIAL HEALTH CARE CLAIMS DATA [O] . J. Faccone, Y. Wang 2019

机译：PNS191使用商业医疗保健声明数据的高维倾向评分和传统倾销评分匹配方法的比较
8. Profile of Rural Health Clinics: Clinic and Medicare Patient Characteristics: Review of 2009 Medicare Outpatient Claims Data. Findings Brief No. 108. [R] . Radford, A. D., Kirk, D. A., Howard, H. A., 2013

机译：农村健康诊所简介：诊所和医疗保险患者特征：2009年医疗保险门诊索赔数据回顾。调查结果摘要第108号。

High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data (vol 20, pg 512, 2009)

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