A computer program for survival comparisons to a standard population
Identifieur interne : 00EF00 ( Main/Exploration ); précédent : 00EE99; suivant : 00EF01A computer program for survival comparisons to a standard population
Auteurs : Steven Y. Moon [États-Unis] ; Robert F. Woolson [États-Unis] ; Judy A. Bean [États-Unis]Source :
- Computer Programs in Biomedicine [ 0010-468X ] ; 1979.
English descriptors
- Teeft :
- Additional information, Ages years, Census data, Census reports, Complete mortality table, Computer program, Control cards, Control language, Covariables, Cumulative hazard, Cumulative hazard function, Cumulative hazards, Datain, Datain subroutine, Datfmt, Design matrix, Device number, Diagnostic group, Dimensional integer, Environmental health, First year, Hazard function, Hazin, Hospital classification, Information matrix, Input device, Input parameters, Integer datfmt, Iowa city, Iteration, Large data sets, Large reference group, Large reference population, Life table probabilities, Life tables, Main program, Main program control section, Male deaths, Matrix, Maximum number, Mortality, Mortality data, Mortality experience, Mortality rates, Mortality status, Mortality table, Northern iowa, Population mortality data, Preventive medicine, Program control cards, Prophaz, Proportional hazards model, Real delta, Reference population, Regression coefficients, Regression models, Research grant, Same manner, Score vector, Single population, Source deck, Standard population, Statistical analysis, Subroutine, Subroutine datain, Subroutine hazin, Survival comparisons, Survival data, Survival experience, Temporary data, Temporary disk, Test hypotheses, Test statistic, Yrst.
Abstract
Abstract: PROPHAZ is a computer program created for the analysis of survival data using the general proportional hazards model. It was designed specifically for the situation in which the underlying hazard function may be estimated from the mortality experience of a large reference population, but may be used for other problems as well. Input for the program includes the variables of interest as well as the information necessary for estimating the hazard function (demographic and mortality data). Regression coefficients for the variables of interest are obtained iteratively using the Newton-Raphson method. Utilizing large sample asymptotic theory, χ2 statistics are derived which may be used to test hypotheses of the form Cβ = 0. Input format is completely flexible for the variables of interest as well as the mortality data.
Url:
DOI: 10.1016/0010-468X(79)90056-4
Affiliations:
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Le document en format XML
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<term>Census data</term>
<term>Census reports</term>
<term>Complete mortality table</term>
<term>Computer program</term>
<term>Control cards</term>
<term>Control language</term>
<term>Covariables</term>
<term>Cumulative hazard</term>
<term>Cumulative hazard function</term>
<term>Cumulative hazards</term>
<term>Datain</term>
<term>Datain subroutine</term>
<term>Datfmt</term>
<term>Design matrix</term>
<term>Device number</term>
<term>Diagnostic group</term>
<term>Dimensional integer</term>
<term>Environmental health</term>
<term>First year</term>
<term>Hazard function</term>
<term>Hazin</term>
<term>Hospital classification</term>
<term>Information matrix</term>
<term>Input device</term>
<term>Input parameters</term>
<term>Integer datfmt</term>
<term>Iowa city</term>
<term>Iteration</term>
<term>Large data sets</term>
<term>Large reference group</term>
<term>Large reference population</term>
<term>Life table probabilities</term>
<term>Life tables</term>
<term>Main program</term>
<term>Main program control section</term>
<term>Male deaths</term>
<term>Matrix</term>
<term>Maximum number</term>
<term>Mortality</term>
<term>Mortality data</term>
<term>Mortality experience</term>
<term>Mortality rates</term>
<term>Mortality status</term>
<term>Mortality table</term>
<term>Northern iowa</term>
<term>Population mortality data</term>
<term>Preventive medicine</term>
<term>Program control cards</term>
<term>Prophaz</term>
<term>Proportional hazards model</term>
<term>Real delta</term>
<term>Reference population</term>
<term>Regression coefficients</term>
<term>Regression models</term>
<term>Research grant</term>
<term>Same manner</term>
<term>Score vector</term>
<term>Single population</term>
<term>Source deck</term>
<term>Standard population</term>
<term>Statistical analysis</term>
<term>Subroutine</term>
<term>Subroutine datain</term>
<term>Subroutine hazin</term>
<term>Survival comparisons</term>
<term>Survival data</term>
<term>Survival experience</term>
<term>Temporary data</term>
<term>Temporary disk</term>
<term>Test hypotheses</term>
<term>Test statistic</term>
<term>Yrst</term>
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<front><div type="abstract" xml:lang="en">Abstract: PROPHAZ is a computer program created for the analysis of survival data using the general proportional hazards model. It was designed specifically for the situation in which the underlying hazard function may be estimated from the mortality experience of a large reference population, but may be used for other problems as well. Input for the program includes the variables of interest as well as the information necessary for estimating the hazard function (demographic and mortality data). Regression coefficients for the variables of interest are obtained iteratively using the Newton-Raphson method. Utilizing large sample asymptotic theory, χ2 statistics are derived which may be used to test hypotheses of the form Cβ = 0. Input format is completely flexible for the variables of interest as well as the mortality data.</div>
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