A recent study reported increased mortality of heads in government. To avoid the time-dependent bias (also known as immortal-time bias), survival from last election was compared between election winners and runners-up. We claim that this data manipulation results in bias due to conditioning on future events; survival should be compared from first election as well as winning should be considered as a time-dependent covariate. We collected the missing life-time periods and redesigned the study to display this bias using Lexis diagrams and multistate methodology. We found that the bias that we termed the healthy candidate bias was even more severe than the time-dependent bias.

Ideas for outings and events on the territory of the City of Sherbrooke. The calendar of events is updated by the City's boroughs and the Communications Department. Data is updated in real time from the City's portal. This dataset uses the GVQ Events standard.

United States - Employed full time: Wage and salary workers: Meeting, convention, and event planners occupations: 16 years and over was 103.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Meeting, convention, and event planners occupations: 16 years and over reached a record high of 119.00000 in January of 2016 and a record low of 84.00000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Meeting, convention, and event planners occupations: 16 years and over - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for Employed full time: Wage and salary workers: Meeting, convention, and event planners occupations: 16 years and over: Women (LEU0257857600A) from 2011 to 2024 about conventional, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Ideas for outings and events on the territory of the City of Sherbrooke. The calendar of events is updated by the City's boroughs and the Communications Department. Data is updated in real time from the City's portal. This dataset uses the GVQ Events standard.

Mean (standard deviation) of PPLD distributions for each Model in Table 1.

The Armed Conflict Location & Event Data Project (ACLED) is a US-registered non-profit whose mission is to provide the highest quality real-time data on political violence and demonstrations globally. The information collected includes the type of event, its date, the location, the actors involved, a brief narrative summary, and any reported fatalities. ACLED users rely on our robust global dataset to support decision-making around policy and programming, accurately analyze political and country risk, support operational security planning, and improve supply chain management.ACLED’s transparent methodology, expert team composed of 250 individuals speaking more than 70 languages, real-time coding system, and weekly update schedule are unrivaled in the field of data collection on conflict and disorder. Global Coverage: We track political violence, demonstrations, and strategic developments around the world, covering more than 240 countries and territories.Published Weekly: Our data are collected in real time and published weekly. It is the only dataset of its kind to provide such a high update frequency, with peer datasets most often updating monthly or yearly.Historical Data: Our dataset contains at least two full years of data for all countries and territories, with more extensive coverage available for multiple regions.Experienced Researchers: Our data are coded by experienced researchers with local, country, and regional expertise and language skills.Thorough Data Collection and Sourcing: Pulling from traditional media, reports, local partner data, and verified new media, ACLED uses a tailor-made sourcing methodology for individual regions/countries.Extensive Review Process: Our data go through an exhaustive multi-stage quality assurance process to ensure their accuracy and reliability. This process includes both manual and automated error checking and contextual review.Clean, Standardized, and Validated: Our data can be easily connected with internal dashboards through our API or downloaded through the Data Export Tool on our website.Resources Available on ESRI’s Living AtlasACLED data are available through the Living Atlas for the most recent 12 month period. The data are mapped to the centroid of first administrative divisions (“admin1”) within countries (e.g., states, districts, provinces) and aggregated by month. Variables in the data include:The number of events per admin1-month, disaggregated by event type (protests, riots, battles, violence against civilians, explosions/remote violence, and strategic developments)A conservative estimate of reported fatalities per admin1-monthThe total number of distinct violent actors active in the corresponding admin1 for each monthThis Living Atlas item is a Web Map, which provides a pre-configured view of ACLED event data in a few layers:ACLED Event Counts layer: events per admin1-month, styled by predominant event type for each location.ACLED Violent Actors layer: the number of distinct violent actors per admin1-month.ACLED Fatality Estimates layer: the estimated number of fatalities from political violence per admin1-month.These layers are based on the ACLED Conflict and Demonstrations Event Data Feature Layer, which has the same data but only a basic default styling that is similar to the Event Counts layer. The Web Map layers are configured with a time-slider component to account for the multiple months of data per admin1 unit. These indicators are also available in the ACLED Conflict and Demonstrations Data Key Indicators Group Layer, which includes the same preconfigured layers but without the time-slider component or background layers.Resources Available on the ACLED WebsiteThe fully disaggregated dataset is available for download on ACLED's website including:Date (day, month, year)Actors, associated actors, and actor typesLocation information (ADMIN1, ADMIN2, ADMIN3, location and geo coordinates)A conservative fatality estimateDisorder type, event types, and sub-event typesTags further categorizing the data A notes column providing a narrative of the event For more information, please see the ACLED Codebook.To explore ACLED’s full dataset, please register on the ACLED Access Portal, following the instructions available in this Access Guide. Upon registration, you’ll receive access to ACLED data on a limited basis. Commercial users have access to 3 free data downloads company-wide with access to up to one year of historical data. Public sector users have access to 6 downloads of up to three years of historical data organization-wide. To explore options for extended access, please reach out to our Access Team (access@acleddata.com).With an ACLED license, users can also leverage ACLED’s interactive Global Dashboard and check in for weekly data updates and analysis tracking key political violence and protest trends around the world. ACLED also has several analytical tools available such as our Early Warning Dashboard, Conflict Alert System (CAST), and Conflict Index Dashboard.

This bar chart displays olympic schedule by datetime using the aggregation count. The data is filtered where the sport is Breaking.

ObjectivesThe availability of immunotherapies has expanded the options for treating metastatic NSCLC, but information is needed regarding outcomes of immunotherapy for patients treated outside of clinical trials. The aim of this retrospective study was to evaluate the outcomes of therapy with first-line pembrolizumab plus pemetrexed and carboplatin (pembrolizumab-combination) for patients with metastatic nonsquamous NSCLC in the real-world setting of oncology clinics in the United States (US).MethodsUsing deidentified, longitudinal patient records from a nationwide, electronic health record-derived US database, we identified patients with metastatic nonsquamous NSCLC, without EGFR/ALK/ROS1 genomic alterations, who had received no previous systemic anticancer therapy. Eligible patients had an Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1 and initiated first-line pembrolizumab-combination therapy from 11-May-2017 to 31-January-2019; data cutoff was 31-August-2020. Patients treated in a clinical trial were excluded. Manual chart review supplemented technology-enabled abstraction to identify disease progression and tumor response. Time-to-event endpoints from initiation of pembrolizumab-combination therapy were determined using Kaplan-Meier.ResultsOf 377 patients with metastatic nonsquamous NSCLC, 105 (28%), 104 (28%), and 103 (27%) had programmed death-ligand 1 (PD-L1) expression ≥50%, 1–49%, and

MDOT SHA CHART active incident eventsDisplays the locations of MDOT SHA CHART incident events, with a brief event description and last updated date/time.MDOT SHA WebsiteContact UsRSS Data Feed XML Data Feed

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Meeting, convention, and event planners occupations: 16 years and over was 1170.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Meeting, convention, and event planners occupations: 16 years and over reached a record high of 1234.00000 in January of 2023 and a record low of 819.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Meeting, convention, and event planners occupations: 16 years and over - last updated from the United States Federal Reserve on July of 2025.

The dataset was collected to model change point estimation in time-to-event data for a clinical process with dichotomous outcomes, death and survival, where patient mix was present. Modelling was completed using a Bayesian framework. The performance of the Bayesian estimators was investigated through simulation in conjunction with RAST CUSUM control charts for monitoring right censored survival time of patients who underwent cardiac surgery procedures within a follow-up period of 30 days.

The dataset presents posterior estimates (mode, sd.) of step change point model parameters ( and ) following signals (RL) from RAST CUSUM () where and .

To monitor time and magnitude, different types of control charts have been proposed in the literature. This article proposes a new maximum exponentially weighted moving average (Max-EWMA) control chart by assuming Weibull distribution. The test-statistic of the Max-EWMA chart consists of two EWMA statistics, where one statistic is used for monitoring magnitude while the other to monitor time interval between events. The performances of the proposed chart is assessed on the basis of run length characteristics like, average run length (ARL), standard deviation of the run length (SDRL), and quantiles of the run length distribution. Besides extensive simulation studies, real data sets are also considered to show the applications of the proposed chart. The results show that the proposed chart is efficient in detecting different size of small shifts.

This Resource Package contains two major products: GA Record 2009/41 and two full-colour, A0-sized map sheets (containing maps at 1:5 million, 1:6 million, and 1:3 million scales) that show the continental extent and age relationships of Archean mafic and ultramafic rocks and associated mineral deposits throughout Australia. These rocks have been assigned to twenty-six Archean Magmatic Events (AME) ranging in age from the Eoarchean ~3730 Ma (AME 1) to the late Neoarchean ~2520 Ma (AME 26).

The temporal and spatial relationships of these Magmatic Events in the Pilbara Craton, Hamersley Basin, Sylvania Inlier, Yilgarn Craton, and Gawler Craton are represented on a Time-Space-Event Chart on Sheet 1. An enlarged inset map on this sheet provides in more detail the polygon and line data of the events in the Pilbara Craton, Hamersley Basin, and Sylvania Inlier.

Sheet 2 shows the interpreted distribution and characterisation of Archean mafic-ultramafic magmatic rocks in the Yilgarn Craton. In particular, potential new areas of komatiitic rocks under cover that elsewhere in the craton host significant resources of nickel, copper, and platinum-group elements, are highlighted. Other maps on Sheet 2 summarise the nickel resource endowment and crustal neodymium model ages of various geological provinces in the Yilgarn Craton.

These map sheets, when used in association with another recently produced map 'Australian Proterozoic Mafic-Ultramafic Magmatic Events (GeoCat 66114; published in 2008)', summarise the temporal and spatial evolution of Precambrian mafic-ultramafic magmatism in Australia.

Record 2009/41 (Geocat 69935) is a user guide for the `Australian Archean Mafic-Ultramafic Magmatic Events' map (Geocat 69347). It compiles all the geological and geochronological data that underpins the information portrayed on the map.

The Resource Package also contains in addition to the maps and record, a spreadsheet of data that support the maps and a time-series animation summarising all the Archean Mafic-Ultramafic Magmatic Events.

Related products:

Project Y4 Deliverable #1 New time-space event history database, charts and maps

expression data of CBX3, STAT1, and CD274 according time/event overall survival of the patients from TCGA colorectal cancer cohort

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Meeting, convention, and event planners occupations: 16 years and over: Men (LEU0257857800A) from 2011 to 2011 about conventional, second quartile, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

This map shows copper locations by Event, Type and Status. It also shows copper regions and copper occurrences that fall within these regions. The map includes a Time-Space-Event chart, and pie charts.

The "Wikipedia Edit Event Data 2018 (WikiEvent.2018)" gives the time, user name, and article title of every edit that any registered and logged-in Wikipedia user performed on any article in the English-language edition of Wikipedia from January 15th, 2001 (the launch of Wikipedia) to January 1st, 2018.

The edit event data has been extracted from the file 'enwiki-20180101-stub-meta-history.xml.gz'; which was at that time linked from 'https://dumps.wikimedia.org/enwiki/20180101/'. These files get deleted some months after data collection - however the information is still available in any file 'enwiki-

The Wikipedia Edit Event Data 2018 comprises one file ('WikiEvent.2018.csv') giving a table with 3 columns and more than 360 million rows in CSV format. Cell delimiter is semicolon (';') and strings are quoted by double-quotes ('"'). The table has a header given in the first row and the three columns are labeled 'time', 'user', and 'article' respectively. The uncompressed size of the file is about 17.1 GB.

Time is given by integers representing milliseconds from January 1st, 1970 at 0:00 to the time of the edit. Precision of edit times, however, is given by the second so that the last three digits of every time value are equal to '000'. The edit events are given in ascending order with respect to time (older edits before younger edits). An article is a page in Namespace 0 (the 'main namespace' or 'article namespace') that is not a redirect. An edit (that is, a new revision of an article) is considered to be performed by a registered and logged-in user if the 'contributor' is given in an XML element in the referenced stub-file. (It is considered to be an anonymous edit if the 'contributor' is given in an XML element . Anonymous edits are not recorded in the table.) Triples (time,user,article) are unique by construction: if the same user edits the same article in the same second more than once, only one of these edits appears in the table.

The WikiEvent.2018 data was originally used in: Lerner and Lomi (2020). Reliability of relational event model estimates under sampling: how to fit a relational event model to 360 million dyadic events. Network Science, 8(1):97-135. (DOI: https://doi.org/10.1017/nws.2019.57)

How to analyze the WikiEvent Data with relational event models is explained in the eventnet tutorial at: https://github.com/juergenlerner/eventnet/wiki/Large-event-networks-(tutorial).

Emergency Medical Service ambulance dispatch incidents in Marin County, CA, for the period beginning March 1, 2013 through June 30, 2017. Data is updated quarterly. Data includes time stamps of events for each dispatch, nature of injury, and location of injury. Data also includes geocoding of most incident locations, however, specific street address locations are "obfuscated" and are generally shown within a block and are not, therefore, exact locations. Geocoding results are also based on the quality of the address information provided, and should therefore not be considered 100% accurate.

Some of the data may be interpreted incorrectly without adequate knowledge of the clinical context. Please contact EMS@marincounty.org if you have any questions about the interpretation of fields in this dataset.