Bringing the Missing Million Home: Correcting the 1991 Small Area Statistics for Undercount

2002 ◽  
Vol 34 (6) ◽  
pp. 1021-1035 ◽  
Author(s):  
Richard Mitchell ◽  
Danny Dorling ◽  
David Martin ◽  
Ludi Simpson
Keyword(s):  
Small Area ◽  
Census Data ◽  
Decennial Census ◽  
Data Set ◽  
Web Based ◽  
Marginalised Groups ◽  
Small Area Statistics ◽  
Web Based System

The 1991 UK Decennial Census missed about 1.2 million people. These missing individuals present a serious challenge to any census user interested in measuring intercensal change, particularly amongst the most marginalised groups in society who were prominent amongst the missing population. Recently, a web-based system for accessing census data from the 1971, 1981, and 1991 censuses was launched ( www.census.ac.uk/cdu/lct ). The ‘LCT’ package also provides access to a set of 1991 small area statistics (SAS) which have been corrected to compensate for the missing million. The authors explain the methods used for adjusting the SAS counts, provide examples of the differences between analysis with the adjusted and unadjusted data, and recommend the use of the new data set to all those interested in intercensal change.

The Estimation of Population Microdata by Using Data from Small Area Statistics and Samples of Anonymised Records

1998 ◽  
Vol 30 (5) ◽  
pp. 785-816 ◽  
Author(s):  
P Williamson ◽  
M Birkin ◽  
P H Rees
Keyword(s):  
Small Area ◽  
Census Data ◽  
Population Data ◽  
Combinatorial Optimisation ◽  
Population Characteristics ◽  
Test Statistics ◽  
Enumeration District ◽  
Small Area Statistics ◽  
Using Data ◽  
Combining Information

Census data can be represented both as lists and as tabulations of household/individual attributes. List representation of Census data offers greater flexibility, as the exploration of interrelationships between population characteristics is limited only by the quality and scope of the data collected. Unfortunately, the released lists of household/individual attributes (Samples of Anonymised Records, SARs) are spatially referenced only to areas (single or merged districts) with populations of 120 000 or more, whereas released tabulations are available for units as small as single enumeration districts (Small Area Statistics, SAS). Intuitively, it should be possible to derive list-based estimates of enumeration district populations by combining information contained in the SAR and the SAS. In this paper we explore the range of solutions that could be adapted to this problem which, ultimately, is presented as a complex combinatorial optimisation problem. Various techniques of combinatorial optimisation are tested, and preliminary results from the best performing algorithm are evaluated. Through this process, the lack of suitable test statistics for the comparison of observed and expected tabulations of population data is highlighted.

A Web-Based System for Blood Pressure Prediction during Hemodialysis (Preprint)

2019 ◽  
Author(s):  
Chih-Jen Wu ◽  
Cheng-Jui Lin ◽  
Ying-Ying Chen ◽  
Pei-Chen Wu ◽  
Chi-Feng Pan ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Prediction Model ◽  
Intelligent System ◽  
Demographic Data ◽  
Multiple Linear Regression Model ◽  
Interactive System ◽  
Data Set ◽  
Web Based ◽  
Patient Groups ◽  
Web Based System

BACKGROUND Cardiovascular (CV) events are the major cause of morbidity and mortality associated with blood pressure (BP) in hemodialysis (HD) patients. BP varies significantly during HD treatment, and the dramatic variation in BP is a well-recognized risk factor for increased mortality. It is important to develop an intellectual system capable of predicting BP profiles for real-time monitory. OBJECTIVE Our aim was to build a web-based system to predict the systolic blood pressure (SBP) change during hemodialysis process. METHODS This study was based on a large stream of HD parameters collected from a dialysis equipment connected to the Vital Info Portal gateway and linked with the demographic data stored in the hospital information system. The data set was divided into three groups - training, test and new patients. The training group was useful to build a multiple linear regression model, in which the SBP change was the dependent variable and the dialysis parameters and demographic data were the independent variables. We used the test and new patient groups to evaluate the model performance using coverage rates in different thresholds. A web-based interactive system based on the model was built for visualizing the prediction performance. RESULTS A total of 542,424 BP records were used in the model building. The accuracy was greater than 80% in the prediction error range of 15%, and 20mmHg of true SBP in the test and new patient groups for the SBP change model suggested a good performance of our prediction model. In the case of absolute SBP values (5, 10, 15, 20 and 25 mmHg), the accuracy of SBP prediction increased as the threshold value augmented. CONCLUSIONS This database supported the application of our prediction model in reducing the frequency of intradialytic SBP variability, and therefore, it could aid in the clinical decision when a new patient undertakes HD treatment. Whether the introduction of SBP prediction intelligent system can lower CV events in HD patients, it needs further investigations.

scholarly journals Magellan: A Web Based System for the Integrated Analysis of Heterogeneous Biological Data and Annotations; Application to DNA Copy Number and Expression Data in Ovarian Cancer

2006 ◽  
Vol 2 ◽  
pp. 117693510600200 ◽  
Author(s):  
Chris B. Kingsley ◽  
Wen-Lin Kuo ◽  
Daniel Polikoff ◽  
Andy Berchuck ◽  
Joe W. Gray ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Analytical Methods ◽  
Patient Survival ◽  
Biological Data ◽  
Integrated Analysis ◽  
Comparative Genomic ◽  
Expression Data ◽  
Data Set ◽  
Web Based ◽  
Web Based System

Recent advances in high throughput biological methods allow researchers to generate enormous amounts of data from a single experiment. In order to extract meaningful conclusions from this tidal wave of data, it will be necessary to develop analytical methods of sufficient power and utility. It is particularly important that biologists themselves be able to perform many of these analyses, such that their background knowledge of the experimental system under study can be used to interpret results and direct further inquiries. We have developed a web-based system, Magellan, which allows the upload, storage, and analysis of multivariate data and textual or numerical annotations. Data and annotations are treated as abstract entities, to maximize the different types of information the system can store and analyze. Annotations can be used in analyses/visualizations, as a means of subsetting data to reduce dimensionality, or as a means of projecting variables from one data type or data set to another. Analytical methods are deployed within Magellan such that new functionalities can be added in a straightforward fashion. Using Magellan, we performed an integrated analysis of genome-wide comparative genomic hybridization (CGH), mRNA expression, and clinical data from ovarian tumors. Analyses included the use of permutation-based methods to identify genes whose mRNA expression levels correlated with patient survival, a nearest neighbor classifier to predict patient survival from CGH data, and curated annotations such as genomic position and derived annotations such as statistical computations to explore the quantitative relationship between CGH and mRNA expression data.

scholarly journals MONITORING JADWAL BELAJAR MENGAJAR PRODI TEKNIK MULTIMEDIA DAN JARINGAN DENGAN RASPBERRY PI

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Syarifah Muliana ◽  
Muhammad Nasir ◽  
Mursyidah Mursyidah
Keyword(s):  
Teaching And Learning ◽  
Web Server ◽  
Raspberry Pi ◽  
Time Data ◽  
Study Program ◽  
Data Set ◽  
Web Based ◽  
Study Programs ◽  
Web Based System ◽  
The Web

Abstrak — Politeknik Negeri Lhokseumawe menyediakan Web server untuk mengakses berbagai macam informasi sekitaran jurusan dan program studi khususnya Prodi Teknik Multimedia dan Jaringan. Web bukan hanya untuk menyampaikan sebatas informasi pada prodi, tetapi juga dapat memonitoring jadwal belajar mengajar meggunakan Raspberry Pi sebagai server mini, pengganti komputer yang biasanya digunakan untuk server. Selama ini monitoring jadwal belajar mengajar dilakukan secara manual, sistem ini dibuat untuk memonitoring secara otomatis. Perancangan sistem berbasis Web dengan pemprograman HTML, PHP, MYSQL dan SMS gateway dengan gammu sebagai servicenya. Operasi yang berjalan dalam SMS gateway ini yaitu, pesan broadcast yang dapat mengirimkan pesan kebanyak tujuan sesuai dengan jadwal dan auto respon atau sistem dapat menerima pesan dan mengirim kembali ke nomor tujuan jika ada secara otomatis. Parameter nilai yang diiambil berdasarkan data waktu yang diatur dalam sistem. Dengan adanya sistem ini dapat mempermudah prodi Teknik Multimedia dan Jaringan dalam memonitoring jadwal belajar mengajar.Kata Kunci : Web, SMS Gateway, Gammu, Raspberry Pi Abstract — Lhokseumawe State  of Polytechnic provides a Web server to access various kinds of information around majors and study programs, especially Multimedia Engineering and Networks. The Web is not just for delivering information on the study program, but also monitoring the schedule of teaching lessons using Raspberry Pi as a mini server, a replacement for computers that are usually used for servers. During this time monitoring of teaching and learning schedule is done manually, this system is made to monitor automatically. Web-based system design with HTML, PHP, MYSQL and SMS gateway programming with gammu as its service. The operation that runs in this SMS gateway is, broadcast messages that can send messages to many destinations in accordance with schedule and auto response or the system can receive messages and send back to the destination number if it exists automatically. The value parameter is retrieved based on the time data set in the system. With this system can facilitate Multimedia Engineering and Network study programs in monitoring teaching and learning schedules.Keywords: Web, SMS Gateway, Gammu, Raspberry Pi

scholarly journals 817Official small area health statistics using the stratified reweighting method

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Ian Rayson ◽  
Sean Buttsworth
Keyword(s):  
Health Survey ◽  
Small Area ◽  
Census Data ◽  
Local Level ◽  
Health Data ◽  
Local Health ◽  
Health Statistics ◽  
Data Set ◽  
Acceptable Quality ◽  
Generalised Linear Mixed Model

Abstract Background The Australian Bureau of Statistics (ABS) presently produces health data for small population groups using a Generalised Linear Mixed Model (GLMM) method. Although this method is highly effective at producing reliable local level health data, it takes several months to compile data once it’s collected. The Stratified Reweighting Method (SRM) was investigated as an innovative efficient method for producing local level health data. Methods The SRM harnesses information from both health survey and Census data. A cluster analysis of 12 Census data items creates 13 area groups with similar population demographics. A replicated survey data set is then created where each small area is bolstered by the other small areas within its area group. The survey weights from this dataset are adjusted to match Census data of each small area across several demographic variables. A final survey weight adjustment ensures consistency of the small area predictions with national survey estimates. Results Health statistics were produced for over 20 health outcomes in the latest ABS National Health Survey; and the ABS Survey of Disability, Ageing and Carers. It was found that, compared to the GLMM method: the models had lower, but still acceptable quality; the errors of prevalence estimates were similar magnitude; and the data compilation time was reduced to within two weeks. Conclusions The SRM is an efficient approach for producing acceptable quality official local health statistics. Key messages The SRM is an innovative and efficient weight-based method using health survey and population Census data to produce official local health statistics.

Rancang Bangun Sistem Penerimaan Dan Mutasi Barang Pada PDAM Tirta Kerta Raharja

Sensi Journal ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 236-246
Author(s):  
Ilamsyah Ilamsyah ◽  
Yulianto Yulianto ◽  
Tri Vita Febriani
Keyword(s):  
System Analysis ◽  
Object Oriented ◽  
Analysis Method ◽  
Web Based ◽  
Visual Modeling ◽  
Long Time ◽  
The Right ◽  
And Control ◽  
Web Based System ◽  
The Web

The right and appropriate system of receiving and transferring goods is needed by the company. In the process of receiving and transferring goods from the central warehouse to the branch warehouse at PDAM Tirta Kerta Raharja, Tangerang Regency, which is currently done manually is still ineffective and inaccurate because the Head of Subdivision uses receipt documents, namely PPBP and mutation of goods, namely MPPW in the form of paper as a submission media. The Head of Subdivision enters the data of receipt and mutation of goods manually and requires a relatively long time because at the time of demand for the transfer of goods the Head of Subdivision must check the inventory of goods in the central warehouse first. Therefore, it is necessary to hold a design of information systems for the receipt and transfer of goods from the central warehouse to a web-based branch warehouse that is already database so that it is more effective, efficient and accurate. With the web-based system of receiving and transferring goods that are already datatabed, it can facilitate the Head of Subdivision in inputing data on the receipt and transfer of goods and control of stock inventory so that the Sub Head of Subdivision can do it periodically to make it more effective, efficient and accurate. The method of data collection is done by observing, interviewing and studying literature from various previous studies, while the system analysis method uses the Waterfall method which aims to solve a problem and uses design methods with visual modeling that is object oriented with UML while programming using PHP and MySQL as a database.

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