A New Look at Halley's Life Table
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2017 Stevens Helen 1333274
This electronic thesis or dissertation has been downloaded from the King’s Research Portal at https://kclpure.kcl.ac.uk/portal/ Paradise Closed Energy, inspiration and making art in Rome in the works of Harriet Hosmer, William Wetmore Story, Elizabeth Barrett Browning, Nathaniel Hawthorne, Sophia Peabody Hawthorne, Elizabeth Gaskell and Henry James, 1847-1903 Stevens, Helen Christine Awarding institution: King's College London The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without proper acknowledgement. END USER LICENCE AGREEMENT Unless another licence is stated on the immediately following page this work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence. https://creativecommons.org/licenses/by-nc-nd/4.0/ You are free to copy, distribute and transmit the work Under the following conditions: Attribution: You must attribute the work in the manner specified by the author (but not in any way that suggests that they endorse you or your use of the work). Non Commercial: You may not use this work for commercial purposes. No Derivative Works - You may not alter, transform, or build upon this work. Any of these conditions can be waived if you receive permission from the author. Your fair dealings and other rights are in no way affected by the above. Take down policy If you believe that this document breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 Paradise Closed: Energy, inspiration and making art in Rome in the works of Harriet Hosmer, William Wetmore Story, Elizabeth Barrett Browning, Nathaniel Hawthorne, Sophia Peabody Hawthorne, Elizabeth Gaskell and Henry James, 1847-1903 Helen Stevens 1 Thesis submitted for the degree of PhD King’s College London September, 2016 2 Table of Contents Acknowledgements .................................................................................................... -
How to Measure the Burden of Mortality? L Bonneux
J Epidemiol Community Health: first published as 10.1136/jech.56.2.128 on 1 February 2002. Downloaded from 128 THEORY AND METHODS How to measure the burden of mortality? L Bonneux ............................................................................................................................. J Epidemiol Community Health 2002;56:128–131 Objectives: To explore various methods to quantify the burden of mortality, with a special interest for the more recent method at the core of calculations of disability adjusted life years (DALY). Design: Various methods calculating the age schedule at death are applied to two historical life table populations. One method calculates the “years of life lost”, by multiplying the numbers of deaths at age ....................... L Bonneux, Department of x by the residual life expectancy. This residual life expectancy may be discounted and age weighted. Public Health, Erasmus The other method calculates the “potential years of life lost” by multiplying the numbers of deaths at age University Rotterdam, the x by the years missing to reach a defined threshold (65 years or 75 years). Netherlands Methods: The period life tables describing the mortality of Dutch male populations from 1900–10 Correspondence to: (high mortality) and from 1990–1994 (low mortality). Dr L Bonneux, Department Results: A standard life table with idealised long life expectancy increases the burden of death more of Public Health, Erasmus if mortality is lower. People at old age, more prevalent if mortality is low, lose more life years in an ide- University Rotterdam, PO alised life table. The discounted life table decreases the burden of death strongly if mortality is high: Box 1738, 3000 DR Rotterdam, the the life lost by a person dying at a young age is discounted. -
Public Cultii En
Ursula Klein MPIWG Berlin [email protected] The Public Cult of Natural History and Chemistry in the age of Romanticism In einem Zeitalter wo man alles Nützliche mit so viel Enthusiasmus auffasst… (I. v. Born und F. W. H. v. Trebra)1 The chemical nature of the novel, criticism, wit, sociability, the newest rhetoric and history thus far is self-evident (F. Schlegel)2 Chemistry is of the most widespread application and of the most boundless influence on life (Goethe)3 In May 1800 the philosopher and theologian Friedrich Daniel Ernst Schleiermacher wrote his sister Charlotte that at the time he was attending in Berlin “lectures about all kinds of sciences, … among others about chemistry.”4 The “chemistry” to which he was referring were the regular public lectures given by the Berlin chemist and apothecary Martin Heinrich Klaproth starting in 1783. The theologian-philosopher’s interest in chemistry was by no means superficial, as his lecture notes document.5 What was it about chemistry of that time that fascinated Schleiermacher? Goethe’s Elective Affinity (“Wahlverwandtschaft”) immediately comes to mind, in which a tragic conflict between marital bonds and love is portrayed in the light of chemical affinities or “elective affinities,” as do Johann Wilhelm Ritter’s spectacular electrochemical experiments and speculations on natural philosophy. Yet a look at Schleiermacher’s notes on Klaproth’s lectures from the year 1800 immediately informs us that this would be mistaken. Very little mention of chemical theories can be found in Klaproth’s lectures, let alone of speculative natural philosophy. In his lectures Klaproth betook himself instead to the multi-faceted world of material substances. -
Incidence, Mortality, Disability-Adjusted Life Years And
Original article The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013 Juanita A Haagsma,1,60 Nicholas Graetz,1 Ian Bolliger,1 Mohsen Naghavi,1 Hideki Higashi,1 Erin C Mullany,1 Semaw Ferede Abera,2,3 Jerry Puthenpurakal Abraham,4,5 Koranteng Adofo,6 Ubai Alsharif,7 Emmanuel A Ameh,8 9 10 11 12 Open Access Walid Ammar, Carl Abelardo T Antonio, Lope H Barrero, Tolesa Bekele, Scan to access more free content Dipan Bose,13 Alexandra Brazinova,14 Ferrán Catalá-López,15 Lalit Dandona,1,16 Rakhi Dandona,16 Paul I Dargan,17 Diego De Leo,18 Louisa Degenhardt,19 Sarah Derrett,20,21 Samath D Dharmaratne,22 Tim R Driscoll,23 Leilei Duan,24 Sergey Petrovich Ermakov,25,26 Farshad Farzadfar,27 Valery L Feigin,28 Richard C Franklin,29 Belinda Gabbe,30 Richard A Gosselin,31 Nima Hafezi-Nejad,32 Randah Ribhi Hamadeh,33 Martha Hijar,34 Guoqing Hu,35 Sudha P Jayaraman,36 Guohong Jiang,37 Yousef Saleh Khader,38 Ejaz Ahmad Khan,39,40 Sanjay Krishnaswami,41 Chanda Kulkarni,42 Fiona E Lecky,43 Ricky Leung,44 Raimundas Lunevicius,45,46 Ronan Anthony Lyons,47 Marek Majdan,48 Amanda J Mason-Jones,49 Richard Matzopoulos,50,51 Peter A Meaney,52,53 Wubegzier Mekonnen,54 Ted R Miller,55,56 Charles N Mock,57 Rosana E Norman,58 Ricardo Orozco,59 Suzanne Polinder,60 Farshad Pourmalek,61 Vafa Rahimi-Movaghar,62 Amany Refaat,63 David Rojas-Rueda,64 Nobhojit Roy,65,66 David C Schwebel,67 Amira Shaheen,68 Saeid Shahraz,69 Vegard Skirbekk,70 Kjetil Søreide,71 Sergey Soshnikov,72 Dan J Stein,73,74 Bryan L Sykes,75 Karen M Tabb,76 Awoke Misganaw Temesgen,77 Eric Yeboah Tenkorang,78 Alice M Theadom,79 Bach Xuan Tran,80,81 Tommi J Vasankari,82 Monica S Vavilala,57 83 84 85 ▸ Vasiliy Victorovich Vlassov, Solomon Meseret Woldeyohannes, Paul Yip, Additional material is 86 87 88,89 1 published online only. -
A Review of Life Table Construction
Biometrics & Biostatistics International Journal Research Article Open Access A review of life table construction Abstract Volume 5 Issue 3 - 2017 Life table is the one of the oldest statistical techniques and is extensively used by Ilker Etikan, Sulaiman Abubakar, Rukayya medical statisticians and actuaries. It is also the scheme for expressing the form of mortality in terms of probabilities. The life table is constructed from census data Alkassim Near East University Faculty of Medicine Department of and death registration data, it can also be constructed from vital registration or Biostatistics, Nicosia-TRNC, Cyprus retrospective surveys. Generally, they are constructed for age, gender, ethnic groups and occupational groups and so on. Some classification of life table such as cohort Correspondence: Ilker Etikan, Near East University Faculty of or current life table which are classified according to the reference year, unabridged Medicine Department of Biostatistics, Nicosia-TRNC, Cyprus, (complete) or abridge life table classified according to length of age interval and single Email or multiple decrement life table classified according to the number of characteristics considered were discussed in the article. Received: November 24, 2016 | Published: March 02, 2017 Keywords: life tables, survival analysis, kaplan meirer Introduction In 1693, the first mortality table is usually credited to Edmund halley who constructed a life table base on the data from Breslau city in A life table is a terse way of showing the probabilities of a member Poland. The table thought to be the first and as well as best of its kind. 1 of a particular population living to or dying at a precise age. -
Life Tables for 191 Countries: Data, Methods and Results
LIFE TABLES FOR 191 COUNTRIES: DATA, METHODS AND RESULTS Alan D Lopez Joshua Salomon Omar Ahmad Christopher JL Murray Doris Mafat GPE Discussion Paper Series: No.9 EIP/GPE/EBD World Health Organization 1 I Introduction The life table is a key summary tool for assessing and comparing mortality conditions prevailing in populations. From the time that the first modern life tables were constructed by Graunt and Halley during the latter part of the 17th century, life tables have served as a valuable analytical tool for demographers, epidemiologists, actuaries and other scientists. The basic summary measure of mortality from the life table, the expectation of life at birth, is widely understood by the general public and trends in life expectancy are closely monitored as the principal measure of changes in a population's health status. The construction of a life table requires reliable data on a population's mortality rates, by age and sex. The most reliable source of such data is a functioning vital registration system where all deaths are registered. Deaths at each age are related to the size of the population in that age group, usually estimated from population censuses, or continuous registration of all births, deaths and migrations. The resulting age-sex-specific death rates are then used to calculate a life table. While the legal requirement for the registration of deaths is virtually universal, the cost of establishing and maintaining a system to record births and deaths implies that reliable data from routine registration is generally only available in the more economically advanced countries. Reasonably complete national data to calculate life tables in the late 1990s was only available for about 65 countries, covering about one-third of the deaths estimated to have occurred in 1999. -
Disability Adjusted Life Years (Dalys)
Article Disability Adjusted Life Years (DALYs) in Terms of Years of Life Lost (YLL) Due to Premature Adult Mortalities and Postneonatal Infant Mortalities Attributed to PM2.5 and PM10 Exposures in Kuwait Ali Al-Hemoud 1,*, Janvier Gasana 2, Abdullah N. Al-Dabbous 1, Ahmad Al-Shatti 3 and Ahmad Al-Khayat 4 1 Crisis Decision Support Program, Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109 Safat, Kuwait; [email protected] 2 Faculty of Public Health, Health Sciences Center, Kuwait University, P.O. Box 24923, 13110 Hawalli, Kuwait; [email protected] 3 Occupational Health Department, Kuwait Ministry of Health, P.O. Box 51360, 53454 Riqqa, Kuwait; [email protected] 4 Techno-Economics Division, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109 Safat, Kuwait; [email protected] * Correspondence: [email protected]; Tel.: +09-652-498-9464 Received: 9 October 2018; Accepted: 17 November 2018; Published: 21 November 2018 Abstract: Ambient air pollution in terms of fine and coarse particulate matter (PM2.5 and PM10) has been shown to increase adult and infant mortalities. Most studies have estimated the risk of mortalities through attributable proportions and number of excess cases with no reference to the time lost due to premature mortalities. Disability adjusted life years (DALYs) are necessary to measure the health impact of PM over time. In this study, we used life-tables for three years (2014–2016) to estimate the years of life lost (YLL), a main component of DALYs, for adult mortalities (age 30+ years) and postneonatal infant mortalities (age 28+ days–1 year) associated with PM2.5 exposure and PM10 exposure, respectively. -
National Vital Statistics Reports Volume 69, Number 12 November 17, 2020
National Vital Statistics Reports Volume 69, Number 12 November 17, 2020 United States Life Tables, 2018 by Elizabeth Arias, Ph.D., and Jiaquan Xu, M.D., Division of Vital Statistics Abstract Introduction Objectives—This report presents complete period life tables There are two types of life tables: the cohort (or generation) for the United States by Hispanic origin, race, and sex, based on life table and the period (or current) life table. The cohort life age-specific death rates in 2018. table presents the mortality experience of a particular birth Methods—Data used to prepare the 2018 life tables are cohort—all persons born in the year 1900, for example—from 2018 final mortality statistics; July 1, 2018 population estimates the moment of birth through consecutive ages in successive based on the 2010 decennial census; and 2018 Medicare data calendar years. Based on age-specific death rates observed for persons aged 66–99. The methodology used to estimate through consecutive calendar years, the cohort life table reflects the life tables for the Hispanic population remains unchanged the mortality experience of an actual cohort from birth until no from that developed for the publication of life tables by Hispanic lives remain in the group. To prepare just a single complete origin for data year 2006. The methodology used to estimate cohort life table requires data over many years. It is usually the 2018 life tables for all other groups was first implemented not feasible to construct cohort life tables entirely on the basis with data year 2008. In 2018, all 50 states and the District of of observed data for real cohorts due to data unavailability or Columbia reported deaths by race based on the 1997 Office of incompleteness (1). -
Vital and Health Statistic, Series 2, No
Series 2 No. 129 Vital and Health Statistics From the CENTERS FOR DISEASE CONTROL AND PREVENTION / National Center for Health Statistics Method for Constructing Complete Annual U.S. Life Tables December 1999 U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention National Center for Health Statistics Copyright Information All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated. Suggested citation Anderson RN. Method for constructing complete annual U.S. life tables. National Center for Health Statistics. Vital Health Stat 2(129). 1999. Library of Congress Cataloging-in-Publication Data Anderson, Robert N. Method for constructing complete annual U.S. life tables / [by Robert N. Anderson]. p. cm. — (Vital and health statistics. Series 2, Data evaluation and methods research ; no. 129) (DHHS publication ; no. (PHS) 99-1329) ‘‘This report describes a method for constructing complete annual U.S. life tables and for extending ...’’ ‘‘November, 1999.’’ Includes bibliographical references. ISBN 0-8406-0560-9 1. United States—Statistics, Vital—Methodology. 2. Insurance, Life—United States—Statistical methods. 3. Insurance, Health—United States—Statistical methods. 4. Mortality—United States—Statistical methods. 5. Public health—United States—Statistical methods. I. National Center for Health Statistics (U.S.) II. Title. III. Series. IV. Series: DHHS publication ; no. (PHS) 99-1329 RA409.U45 no. 129 [HB1335.A3] 362.1'0723 s—dc21 [614.4'273'0727] 99-058350 For sale by the U.S. Government Printing Office Superintendent of Documents Mail Stop: SSOP Washington, DC 20402-9328 Printed on acid-free paper. -
Age-Specific Prevalence and Years of Healthy Life in a System with Three
STATISTICS IN MEDICINE Statist. Med. (2007) Published online in Wiley InterScience (www.interscience.wiley.com) DOI: 10.1002/sim.3056 Age-specific prevalence and years of healthy life in a system with three health states Paula Diehr1,2,∗,†,DavidYanez1, Ann Derleth3 and Anne B. Newman4,5 1Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195, U.S.A. 2Department of Health Services, University of Washington, Seattle, WA, U.S.A. 3Veterans Administration Center for Excellence in Research on the Older Adult, Puget Sound Health Care System, Seattle, WA, U.S.A. 4Department of Medicine, University of Pittsburgh School of Medicine, U.S.A. 5Department of Epidemiology, Graduate School of Public Health, Pittsburgh, PA, U.S.A. SUMMARY Consider a 3-state system with one absorbing state, such as Healthy, Sick, and Dead. Over time, the prevalence of the Healthy state will approach an ‘equilibrium’ value that is independent of the initial conditions. We derived this equilibrium prevalence (Prev:Equil) as a function of the local transition probabilities. We then used Prev:Equil to estimate the expected number of years spent in the healthy state over time. This estimate is similar to the one calculated by multi-state life table methods, and has the advantage of having an associated standard error. In longitudinal data for older adults, the standard error was accurate when a valid survival table was known from other sources, or when the available data set was sufficient to estimate survival accurately. Performance was better with fewer waves of data. If validated in other situations, these estimates of prevalence and years of healthy life (YHL) and their standard errors may be useful when the goal is to compare YHL for different populations. -
Patterns, Predictions, and Actions
PATTERNS, PREDICTIONS, AND ACTIONS A story about machine learning Moritz Hardt and Benjamin Recht arXiv:2102.05242v1 [cs.LG] 10 Feb 2021 Working draft Created: Tue 09 Feb 2021 07:25:15 PM PST Latest version available at https://mlstory.org. For Isaac, Leonora, and Quentin Contents Introduction 9 Ambitions of the 20th century 10 Pattern classification 12 Prediction and action 16 About this book 18 Chapter notes 20 Acknowledgments 21 Decision making 23 Bayesian binary hypothesis testing 25 Canonical cases of likelihood ratio tests 28 Types of errors and successes 29 The Neyman-Pearson Lemma 30 Properties of ROC curves 32 Looking ahead: what if we don’t know the models? 33 Decisions that discriminate 34 Chapter notes 38 Supervised learning 41 Sample versus population 42 Supervised learning 43 A first learning algorithm: The perceptron 45 Chapter notes 53 6 Representations and features 55 Measurement 56 Quantization 57 Template matching 59 Summarization and histograms 60 Nonlinear predictors 61 Chapter notes 72 Optimization 75 Optimization basics 76 Gradient descent 77 Applications to empirical risk minimization 80 Insights on convergence of gradient methods from quadratic functions 82 Stochastic gradient descent 84 Analysis of the stochastic gradient method 90 Implicit convexity 92 Regularization 96 Squared loss methods and other optimization tools 100 Chapter notes 101 Generalization 103 Generalization gap 103 Overparameterization: empirical phenomena 104 Theories of generalization 108 Algorithmic stability 110 Model complexity and uniform -
Demographic Models of Health and Mortality at Both Extremes of the Lifespan
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Demographic Models Of Health And Mortality At Both Extremes Of The Lifespan Julio Enrique Romero Prieto University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Demography, Population, and Ecology Commons, and the Statistics and Probability Commons Recommended Citation Romero Prieto, Julio Enrique, "Demographic Models Of Health And Mortality At Both Extremes Of The Lifespan" (2017). Publicly Accessible Penn Dissertations. 2555. https://repository.upenn.edu/edissertations/2555 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2555 For more information, please contact [email protected]. Demographic Models Of Health And Mortality At Both Extremes Of The Lifespan Abstract This dissertation consists of three essays. The first chapter proposes a model life table to investigate the human mortality at early ages. The model was estimated from the vital records, observing the experiences of 24 countries, which in some cases are at end of the nineteenth century and much of the twentieth century. Using few input values, the model predicts a mortality schedule for the first days, weeks, months, and years of life. Furthermore, the model is flexible ot represent age patterns in conditions of either low or high mortality. Thus, the main application is as a method for indirect estimation, in contexts where vital records are incomplete, imperfect, or non-existent. In this direction, the second chapter takes advantage of the model to investigate the mortality patterns and the quality issues of the mortality estimates from self-reported data.