Probability, Statistics and Modelling in Public Health

Inbunden, Engelska, 2005

AvM.S. Nikulin,Daniel Commenges,Catherine Huber-Carol

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Consists of contributions that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, and more.

Produktinformation

Utgivningsdatum2005-10-11
Mått156 x 234 x 35 mm
Vikt846 g
FormatInbunden
SpråkEngelska
Antal sidor480
Upplaga2006
FörlagSpringer-Verlag New York Inc.
ISBN9780387260228

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Forward and Backward Recurrence Times and Length Biased Sampling: Age Specific Models.- Difference between Male and Female Cancer Incidence Rates: How Can It Be Explained?.- Non-parametric estimation in degradation-renewal-failure models.- The Impact of Dementia and Sex on the Disablement in the Elderly.- Nonparametric Estimation for Failure Rate Functions of Discrete Time semi-Markov Processes.- Some recent results on joint degradation and failure time modeling.- Estimation in a Markov chain regression model with missing covariates.- Tests of Fit based on Products of Spacings.- A Survival Model With Change-Point in Both Hazard and Regression Parameters.- Mortality in Varying Environment.- Goodness of Fit of a joint model for event time and nonignorable missing Longitudinal Quality of Life data.- Three approaches for estimating prevalence of cancer with reversibility. Application to colorectal cancer.- On statistics of inverse gamma process as a model of wear.- Operating Characteristics of Partial Least Squares in Right-Censored Data Analysis and Its Application in Predicting the Change of HIV-I RNA.- Inference for a general semi-Markov model and a sub-model for independent competing risks.- Estimation Of Density For Arbitrarily Censored And Truncated Data.- Statistical Analysis of Some Parametric Degradation Models.- Use of statistical modelling methods in clinical practice.- Degradation-Threshold-Shock Models.- Comparisons of Test Statistics Arising from Marginal Analyses of Multivariate Survival Data.- Nonparametric Estimation and Testing in Survival Models.- Selecting a semi-parametric estimator by the expected log-likelihood.- Imputing responses that are not missing.- Bivariate Decision Processes.- Weighted Logrank Tests With Multiple Events.- Explained Variation and Predictive Accuracy in General Parametric Statistical Models: The Role of Model Misspecification.- Optimization of Breast Cancer Screening Modalities.- Sequential Analysis of Quality of Life Rasch Measurements.- Three Types of Hazard Functions Curves Described.- On the Analysis of Fuzzy Life Times and Quality of Life Data.- Statistical Inference for Two-Sample and Regression Models with Heterogeneity Effect: A Collected-Sample Perspective.- Failure Distributions Associated With General Compound Renewal Damage Processes.