Survival analysis based on the proportional hazards model and survey data

No abstract is available for this paper.

• Publication year

  2006

• Venue

  Canadian Journal of Statistics

• Publication date

  2006-06-01

• Fields of study

  Mathematics, Economics

• Identifiers
  DOI 10.1002/cjs.5550340202
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Event History Analysis and Longitudinal Surveys

  2003cited by this paper
• The Statistical Analysis of Failure Time Data

  2003cited by this paper
• Statistical Models and Methods for Lifetime Data

  2003cited by this paper
• Duration Data Analysis in Longitudinal Survey

  2003cited by this paper
• Flexible Maximum Likelihood Methods for Bivariate Proportional Hazards Models

  2003cited by this paper
• The Statistical Analysis of Failure Time Data: Kalbfleisch/The Statistical

  2002cited by this paper
• Analysing ordinal longitudinal survey data: Generalised estimating equations approach

  2000cited by this paper
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  2000cited by this paper
• Semiparametric regression for the mean and rate functions of recurrent events

  2000cited by this paper
• On fitting Cox's proportional hazards models to survey data

  2000cited by this paper
• Semiparametric Likelihood Estimation in the Clayton–Oakes Failure Time Model

  1999influential reference
• Analysis of Health Surveys

  1999cited by this paper
• State duration models in clinical and observational studies.

  1999cited by this paper
• Marginal Regression Models for Multivariate Failure Time Data

  1998cited by this paper
• Statistical Models Based on Counting Processes.

  1996cited by this paper
• Weak Convergence and Empirical Processes: With Applications to Statistics

  1996cited by this paper
• Estimating equations for hazard ratio parameters based on correlated failure time data

  1995cited by this paper
• The Role of Sampling Weights when Modeling Survey Data

  1993cited by this paper
• Modelling Marginal Hazards in Multivariate Failure Time Data

  1993cited by this paper
• Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations

  1992influential reference
• Fitting Cox's proportional hazards models from survey data

  1992influential reference
• Analysis of complex surveys

  1991cited by this paper
• Counting Processes and Survival Analysis

  1991cited by this paper
• Empirical Processes: Theory and Applications

  1990cited by this paper
• The Robust Inference for the Cox Proportional Hazards Model

  1989cited by this paper
• Regression analysis of multivariate incomplete failure time data by modeling marginal distributions

  1989cited by this paper
• Approximation Theorems of Mathematical Statistics

  1980cited by this paper
• The Statistical Analysis of Failure Time Data

  1980cited by this paper
• Regression Models and Life-Tables

  1972cited by this paper
• Regression models and life tables (with discussion

  1972cited by this paper
• Linear statistical inference and its applications

  1965cited by this paper
• Some Theory of Sampling

  1950cited by this paper
• Statistical Models and Methods for Lifetime Data Second Edition

  year unknowncited by this paper

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