cansurv.net valuation and analysis
Robots.txt Information
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| GoogleBot | / | ✔ |
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Meta Tags
| Title | Short course - Statistical methods for population-based cancer survival |
| Description | Short course - Statistical methods for population-based cancer survival |
| Keywords | statistics,survival,epidemiology,cancer,relative survival,mortality,cancer survival,dickman,lambert,cure,parametric,cox |
Server Information
| WebSite | |
| Host IP | 66.96.149.23 |
| Location | United States |
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cansurv.net Valuation
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US$1,737
Last updated: 2023-05-20 08:37:14
cansurv.net has Semrush global rank of 0. cansurv.net has an estimated worth of US$ 1,737, based on its estimated Ads revenue. cansurv.net receives approximately 200 unique visitors each day. Its web server is located in United States, with IP address 66.96.149.23. According to SiteAdvisor, cansurv.net is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$1,737 |
| Daily Ads Revenue | US$1 |
| Monthly Ads Revenue | US$48 |
| Yearly Ads Revenue | US$577 |
| Daily Unique Visitors | 13 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| cansurv.net. | A | 3599 | IP: 66.96.149.23 |
| cansurv.net. | NS | 3600 | NS Record: ns2.netfirms.com. |
| cansurv.net. | NS | 3600 | NS Record: ns1.netfirms.com. |
| cansurv.net. | MX | 3600 | MX Record: 30 mx.cansurv.net. |
| cansurv.net. | TXT | 3600 | TXT Record: v=spf1 ip4:66.96.128.0/18 ?all |
HtmlToTextCheckTime:2023-05-20 08:37:14
| Short course - Statistical methods for population-based cancer survival analysis » 5-10 June 2023 HOME REGISTER PROGRAMME FACULTY Contact Statistical methods for population-based cancer survival analysis As part of the Summer School on Modern Methods in Biostatistics and Epidemiology , a highly experienced faculty will present an intensive 1-week course on the principles, methods and application of statistical methods in population-based cancer survival analysis. Applications are now being accepted . --> The course will cover central concepts, such as how to estimate and model relative/net survival, as well as recent methodological developments including cure models, flexible parametric models, proportion of expected life lost, and estimating crude probabilities of death. Comparison of alternative methodological approaches (e.g., to estimating relative survival and to modelling relative survival) will will be a focus of the course and participants will get the opportunity to apply |
HTTP Headers
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