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Event History Analysis with R

With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and;

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Introducing Survival & Event Hist Analys

Introducing Survival Analysis and Event History Analysis is an accessible, practical and comprehensive guide for researchers and students;

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Event History Analysis With Stata

history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many;

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Event History Analysis With Stata

history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many;

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Event History Analysis With Stata

Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used;

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Introducing Survival and Event History Analysis

and event history analysis;

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Techniques Of Event History Modeling

sciences; *demonstrates that event history modeling is a major step forward in causal analysis. To do so the authors show that event history;

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Techniques of Event History Modeling

sciences; *demonstrates that event history modeling is a major step forward in causal analysis. To do so the authors show that event history;

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Event History Modeling

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Event History Modeling

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Survival and Event History Analysis

between entry to a study and a subsequent event. Originally the analysis was concerned with time from treatment until death, hence the name, but;

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Time Series Analysis for the Social Sciences

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Event History and Survival Analysis

Drawing on recent "event history" analytical methods from biostatistics, engineering and sociology, this book explains how longitudinal;

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Event History Analysis

the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to;

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Interval-Censored Time-to-Event Data

semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R;

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Event History Analysis: Statistical Theory and Application in the Social Sciences

the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to;

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Applied Meta-Analysis with R and Stata

without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second;

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Applied Meta-Analysis with R and Stata

without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second;

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Handbook of Regression Analysis With Applications in R

Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical;

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Design and Analysis of Clinical Trials with Time-To-Event Endpoints

Trials with Time-to-Event Endpoints provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials;

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Advanced R Statistical Programming and Data Models

data visualization, linear and advanced regression, additive models, survival / time to event analysis Handle machine learning using R;

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Bayesian Approaches in Oncology Using R and OpenBUGS

Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications;

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Statistical Analysis of Panel Count Data

discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the;

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Chinese Enlightenment (Paper)

Schwarcz's imaginative new study provides China scholars and historians with an analysis of what makes that event a turning point in the intellectual;

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Bowtie Methodology

Bow Tie Methodology (BTM) consists of two methods, Fault Tree Analysis (FTA) and Event Tree Analysis (ETA), which are connected by a single;

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