Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | Razieh |
Description | Razieh Nabi Home | Research | Teaching | Software News --> Razieh Nabi, PhD Rollins Assistant Professor Department of Biostatistics and Bioinformatics |
Keywords | Razieh Nabi, causal inference, missing data, mediation analysis, statistics, semiparametric statistics |
WebSite | raziehnabi.com |
Host IP | 185.199.109.153 |
Location | - |
Site | Rank |
US$1,365
Last updated: 2023-05-19 23:05:28
raziehnabi.com has Semrush global rank of 0. raziehnabi.com has an estimated worth of US$ 1,365, based on its estimated Ads revenue. raziehnabi.com receives approximately 157 unique visitors each day. Its web server is located in -, with IP address 185.199.109.153. According to SiteAdvisor, raziehnabi.com is safe to visit. |
Purchase/Sale Value | US$1,365 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$37 |
Yearly Ads Revenue | US$453 |
Daily Unique Visitors | 10 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
raziehnabi.com. | A | 3599 | IP: 185.199.109.153 |
raziehnabi.com. | A | 3599 | IP: 185.199.111.153 |
raziehnabi.com. | A | 3599 | IP: 185.199.110.153 |
raziehnabi.com. | A | 3599 | IP: 185.199.108.153 |
raziehnabi.com. | NS | 21600 | NS Record: ns-cloud-e1.googledomains.com. |
raziehnabi.com. | NS | 21600 | NS Record: ns-cloud-e3.googledomains.com. |
raziehnabi.com. | NS | 21600 | NS Record: ns-cloud-e2.googledomains.com. |
raziehnabi.com. | NS | 21600 | NS Record: ns-cloud-e4.googledomains.com. |
Razieh Nabi Home | Research | Teaching | Software News --> Razieh Nabi, PhD Rollins Assistant Professor Department of Biostatistics and Bioinformatics Emory University Email: razieh dot nabi at emory dot edu [ Google Scholar ] [ Twitter ] [ LinkedIn ] I am a Rollins Assistant Professor in the Department of Biostatistics and Bioinformatics at Emory University. I graduated from the Johns Hopkins University in 2021 where I had the privilege of working with Ilya Shpitser . Many problems in the empirical sciences and rational decision making require causal, rather than associative, reasoning. The field of causal inference is concerned with establishing and quantifying cause-effect relationships to inform interventions, even in the absence of direct experimentation or randomization. Drawing valid causal conclusions from data is impeded by various factors such as the presence of unmeasured confounders, curse of dimensionality, missing and censored values, measurement error, social |
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