Výsledky vyhledávání - "N. E. Breslow"

Publikováno v: Handbook of Statistical Methods for Case-Control Studies ISBN: 9781315154084

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https://doi.org/10.1201/9781315154084-13

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Nested Case-Control Studies: A Counting Process Approach

Autor: N. E. Breslow, Noel S. Weiss

Publikováno v: Handbook of Statistical Methods for Case-Control Studies ISBN: 9781315154084

This chapter provides a Cox's regression model for cohort data, and describes how cohort data may be given a counting process formulation. It reviews how the regression coefficients in Cox's model are estimated by a partial likelihood, and explores m

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https://doi.org/10.1201/9781315154084-18

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Multi-Phase Sampling

Autor: Noel S. Weiss, N. E. Breslow

Publikováno v: Handbook of Statistical Methods for Case-Control Studies ISBN: 9781315154084

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3743293d396d3ca0541be63e01e99b0a
https://doi.org/10.1201/9781315154084-12

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Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II. analysis and examples

Autor: N Mantel, M.C. Pike, Pete Smith, P. Armitage, Richard Peto, David Cox, Julian Peto, S V Howard, N. E. Breslow, Klim McPherson

Publikováno v: British Journal of Cancer

Part I of this report appeared in the previous issue (Br. J. Cancer (1976) 34,585), and discussed the design of randomized clinical trials. Part II now describes efficient methods of analysis of randomized clinical trials in which we wish to compare

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::264e387393988621ac71bc3c59e8e360
https://doi.org/10.1038/bjc.1977.1

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Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression

Autor: N. E. Breslow, Jon A. Wellner

Publikováno v: Scandinavian Journal of Statistics. 34:86-102

We consider semiparametric models for which solution of Horvitz–Thompson or inverse probability weighted (IPW) likelihood equations with two-phase stratified samples leads to consistent and asymptotically Gaussian estimators of both Euclidean and n

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https://doi.org/10.1111/j.1467-9469.2006.00523.x

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