日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

High-dimensional multiple imputation for partially observed confounders including natural language processing-derived auxiliary covariates

针对部分观测到的混杂因素(包括自然语言处理衍生的辅助协变量)的高维多重插补

Weberpals, Janick; Shaw, Pamela A; Lin, Kueiyu Joshua; Wyss, Richard; Plasek, Joseph M; Zhou, Li; Ngan, Kerry; DeRamus, Thomas; Raman, Sudha R; Hammill, Bradley G; Lee, Hana; Toh, Sengwee; Connolly, John G; Dandreo, Kimberly J; Tian, Fang; Liu, Wei; Li, Jie; Hernández-Muñoz, José J; Schneeweiss, Sebastian; Desai, Rishi J

Strengthening inferential studies in the FDA Sentinel initiative: results from a methodological demonstration project

加强FDA哨兵计划中的推断性研究:方法论示范项目的结果

Desai, Rishi J; Weberpals, Janick; Pillai, Haritha; Ajao, Adebola; Desibhatla, Mukund; Hawrusik, Rebecca; Hernández-Muñoz, José J; Jones, Chanelle; Jones, Jamal T; Lii, Joyce; Li, Jie; Lyons, Jennifer G; Schoeplein, Ryan; Shebl, Fatma M; Toh, Sengwee; Patorno, Elisabetta; Schneeweiss, Sebastian

Rucaparib for maintenance treatment of platinum-sensitive, recurrent ovarian carcinoma: Final results of the phase 3, randomized, placebo-controlled ARIEL3 trial

Rucaparib用于铂敏感复发性卵巢癌维持治疗:3期随机、安慰剂对照ARIEL3试验的最终结果

Ledermann, Jonathan A; Oza, Amit M; Lorusso, Domenica; Aghajanian, Carol; Oaknin, Ana; Dean, Andrew; Colombo, Nicoletta; Weberpals, Johanne I; Clamp, Andrew R; Scambia, Giovanni; Leary, Alexandra; Holloway, Robert W; Gancedo, Margarita Amenedo; Fong, Peter C; Goh, Jeffrey C; O'Malley, David M; Armstrong, Deborah K; Banerjee, Susana; García-Donas, Jesús; Swisher, Elizabeth M; Lebreton, Coriolan; Konecny, Gottfried E; McNeish, Iain A; Scott, Clare L; Maloney, Lara; Goble, Sandra; Lin, Kevin K; Coleman, Robert L

Using real-world data to predict findings of an ongoing phase IV trial: glycemic control of semaglutide versus standard of care

利用真实世界数据预测正在进行的IV期临床试验结果:司美格鲁肽与标准治疗在血糖控制方面的比较

Kattinakere Sreedhara, Sushama; Schneeweiss, Sebastian; D'Andrea, Elvira; Weberpals, Janick G; DiCesare, Elyse C; Patorno, Elisabetta; Tsacogianis, Theodore; Bradley, Marie; Concato, John; Wang, Shirley V

Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies

自然语言处理在医疗保健数据库研究中用于可扩展的特征工程和超高维混杂因素调整

Wyss, Richard; Yang, Jie; Schneeweiss, Sebastian; Plasek, Joseph M; Zhou, Li; Deramus, Thomas; Weberpals, Janick G; Ngan, Kerry; Tsacogianis, Theodore N; Lin, Kueiyu Joshua

Analyzing missingness patterns in real-world data using the SMDI toolkit: application to a linked EHR-claims pharmacoepidemiology study

利用SMDI工具包分析真实世界数据中的缺失模式:应用于关联EHR-索赔药物流行病学研究

Raman, Sudha R; Hammill, Bradley G; Shaw, Pamela A; Lee, Hana; Toh, Sengwee; Connolly, John G; Dandreo, Kimberly J; Nalawade, Vinit; Tian, Fang; Liu, Wei; Li, Jie; Hernández-Muñoz, José J; Glynn, Robert J; Desai, Rishi J; Weberpals, Janick

smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies

smdi:一个 R 包,用于对真实世界证据研究中部分观察到的混杂因素进行结构性缺失数据调查。

Weberpals, Janick; Raman, Sudha R; Shaw, Pamela A; Lee, Hana; Hammill, Bradley G; Toh, Sengwee; Connolly, John G; Dandreo, Kimberly J; Tian, Fang; Liu, Wei; Li, Jie; Hernández-Muñoz, José J; Glynn, Robert J; Desai, Rishi J

A Principled Approach to Characterize and Analyze Partially Observed Confounder Data from Electronic Health Records

基于原则的方法对电子健康记录中的部分可观测混杂因素数据进行特征描述和分析

Weberpals, Janick; Raman, Sudha R; Shaw, Pamela A; Lee, Hana; Russo, Massimiliano; Hammill, Bradley G; Toh, Sengwee; Connolly, John G; Dandreo, Kimberly J; Tian, Fang; Liu, Wei; Li, Jie; Hernández-Muñoz, José J; Glynn, Robert J; Desai, Rishi J

Measurement error and bias in real-world oncology endpoints when constructing external control arms

构建外部对照组时,真实世界肿瘤学终点的测量误差和偏差

Ackerman, Benjamin; Gan, Ryan W; Meyer, Craig S; Wang, Jocelyn R; Zhang, Youyi; Hayden, Jennifer; Mahoney, Grace; Lund, Jennifer L; Weberpals, Janick; Schneeweiss, Sebastian; Roose, James; Siddique, Juned; Nadeem, Omar; Giri, Smith; Stürmer, Til; Ailawadhi, Sikander; Batavia, Ashita S; Sarsour, Khaled

The Impact of Longitudinal Data-Completeness of Electronic Health Record Data on the Prediction Performance of Clinical Risk Scores

电子健康记录数据纵向完整性对临床风险评分预测性能的影响

Jin, Yinzhu; Weberpals, Janick G; Wang, Shirley V; Desai, Rishi J; Merola, David; Lin, Kueiyu Joshua