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Regression Analysis of Survival Data in Cancer Chemotherapy
This book presents ideas and procedures for regression analysis of survival data in cancer chemotherapy based on regression-based;
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Lung Cancer Treatment
metastatic non-small cell lung cancer. Despite the advances in palliative chemotherapy, the survival rate for patients with this advanced disease;
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Targeting Cell Survival Pathways to Enhance Response to Chemotherapy
Targeting Cell Survival Pathways to Enhance Response to Chemotherapy encompasses recently developed molecular targeting agents and;
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Analysis of Failure and Survival Data
Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a;
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Analysis of Failure and Survival Data
Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a;
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An Introduction to Survival Analysis Using Stata, Revised Third Edition
An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to;
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Survival Analysis in Medicine and Genetics
regression, multivariate survival data analysis, the sub-distribution method for competing risks data, the cure rate model, and Bayesian inference;
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Survival Analysis in Medicine and Genetics
regression, multivariate survival data analysis, the sub-distribution method for competing risks data, the cure rate model, and Bayesian inference;
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Handbook of Regression Analysis With Applications in R
and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians.;
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Survival Analysis Using S
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival;
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Introductory Statistics with R
methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way;
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Personalized Cancer Chemotherapy
Personalized Cancer Chemotherapy separately describes and addresses "individualized cancer chemotherapy" (ICC) strategies new and old;
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Regression With Social Data
response models* Poisson, negative binomial, and other regression models for event-count data* Survival analysis using multistate, multiepisode;
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Breaking Tolerance to Pancreatic Cancer Unresponsiveness to Chemotherapy
Breaking Tolerance to Pancreatic Cancer Unresponsiveness to Chemotherapy edited by Dr. Nagaraju, PhD., DSc. focuses on overriding the;
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Analysing Survival Data from Clinical Trials and Observational Studies
described range from descriptive and exploratory analysis to multivariate regression methods. Uses illustrative data from actual clinical trials and;
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Analysing Survival Data From Clinical Trials And Observational Studies
described range from descriptive and exploratory analysis to multivariate regression methods. Uses illustrative data from actual clinical trials and;
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Empirical Likelihood Method in Survival Analysis
Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Survival Analysis explains how to use the;
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Empirical Likelihood Method in Survival Analysis
Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Survival Analysis explains how to use the;
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Survival Analysis Using the Sas System
Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data;
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High-dimensional Data Analysis
, feature selection, regression, classification, dimension reduction, as well as applications in survival analysis and biomedical research.The book;
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Systemic Treatment Of Non-Small Cell Lung Cancer
of lung cancer. Most patients present with advanced disease and five-year survival is low at about 15%. Surgery is the main treatment for early;
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Chemotherapy Survival Guide
Chemotherapy Survival Guide: Coping with Cancer & Chemotherapy Treatment Side Effects*** Order paperback, get Kindle version FREE ***ABOUT;
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Stochastic Modeling & Optimization Methods
. Sensitivity analysis of the model is carried out with suitable simulated numerical data. Stochastic model for cancer growth as a result of spontaneous;
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Bayesian Ideas And Data Analysis
regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival;
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Event History Analysis with R
chapters, Explanatory Variables and Regression, and Register- Based Survival Data Models. The book has been restructured to improve the flow, and;
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Before Breast Cancer Surgery
, more accurately determines if chemotherapy is needed. In addition, finding the right breast surgeon can improve one's chance of survival by as;
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