Historical controls and modern survival analysis

DOI10.1007/BF00985254zbMath0821.62076WikidataQ41653105 ScholiaQ41653105MaRDI QIDQ1895379

Niels Keiding

Publication date: 3 October 1995

Published in: Lifetime Data Analysis (Search for Journal in Brave)

zbMATH Keywords

surveysurvival datacovariatesexpected number of deathsCox regression modeldelayed entryexpected survival rateindirect standardizationperson-years methodPeters-Belson approachstandardized mortality ratesurvival of liver patients after transplantation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Non-parametric inference for the effect of a treatment on survival times with application in the health and social sciences ⋮ The Cox Regression Model for Claims Data m Non-Life Insurance

Cites Work

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• Simple Parametric and Nonparametric Models for Excess and Relative Mortality
• Variance Calculations for Direct Adjusted Survival Curves, with Applications to Testing for No Treatment Effect
• The Method of Expected Number of Deaths, 1786-1886-1986, Correspondent Paper
• Age-Specific Incidence and Prevalence: A Statistical Perspective
• Statistical models based on counting processes

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