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STAT 486 Study Guide - Comprehensive Final Exam Guide -

STAT 471 Study Guide - Comprehensive Final Exam Guide -

ECON 262 Study Guide - Comprehensive Final Exam Guide -

STAT 486 Study Guide - Winter 2018, Comprehensive Midterm Notes -

STAT 471 Study Guide - Winter 2018, Comprehensive Midterm Notes -

ECON 262 Study Guide - Winter 2018, Comprehensive Midterm Notes -

STAT 486 Lecture 20: Scaled Schoenfeld Residuals, Grambsh&Therneau, Stratified Cox Model

STAT 486 Lecture : DOC027

STAT 486 Lecture Notes - Lecture 19: Covariate, Danone, Varta

STAT 486 Lecture 18: interpreting Regression Coefficients in the cox regression model, R output for model 1, example (LR test, Estimation of hazard and survival functions)

STAT 471 Lecture Notes - Covariate, Fot, Notar

STAT 486 Lecture 16: Examples (Weibull model), Semi-Parametric Regression, Important family of models

STAT 486 Lecture 12: Weighted log rank test continued, comparison between the observed data and expected data, parametric regression Analysis, Important family of models

STAT 486 Lecture : DOC018

STAT 486 Lecture : DOC022

STAT 486 Lecture Notes - Telomerase Reverse Transcriptase, Covance, Roud Folk Song Index

STAT 486 Lecture Notes - Telomerase Reverse Transcriptase, Oxford University Press

STAT 486 Lecture 10: Comparison of Failure time Distribution, Informal Comparison, parametric models comparison, log-location scale models, approaches to do LR test

STAT 486 Lecture 15: Residual analysis, Cox-Snell Residual and examples

STAT 486 Lecture Notes - Fot, Covariate, Notar

STAT 486 Lecture 11: Nonparametric Methods, 2-sample Log Rank test, weighted log rank tests, idea for the Weighted log rank test

STAT 486 Lecture 13: Accelerated failure time model, methods for AFT regression models (likelihood function, information matrix, score function), interpretation of regression coefficients in AFT model, Wald vs LR test for two different models

STAT 486 Lecture : DOC025

STAT 486 Lecture : DOC019

STAT 486 Lecture Notes - Asteroid Family, Lechon

STAT 486 Lecture 17: Semi-parametric model for PH model (Cox regression model), Partial likelihood method, Cox's original notation, Log likelihood PL analysis

STAT 486 Lecture 14: Graphical methods, model asssessment for AFT regression models, Weibull probability plot (check AFT model assumption)

STAT 486 Lecture 1: Scope of Survival analysis, Introductory examples, Survival Distribution (Continous failure time model), theorms, shapes and characteristics of hazard fct, important family of distribution

STAT 486 Lecture Notes - Lecture 2: Ion, Itil

STAT 486 Lecture 3: Discrete Time distribution, some issues about observations, censoring and maximum likelihood (righ-censored, left-censored), assumptions about censoring mechanism

STAT 486 Lecture 5: K-M Estimate, Delta Theorm/Method, Pointwise confidence intervals for S(t) for each given time t, examples,Nelson-Aalen Estimate and its application, Nonparametric estimation of other characteristics, p-th quantile, median of lifetime

STAT 486 Lecture : DOC018

STAT 486 Lecture : DOC010

STAT 486 Lecture 6: Parametric Analysis of univariate lifetime, likelihood methods, Score function, wald statistics, likelihood ratio, information matrix, fisher information, review examples

STAT 486 Lecture 9: Model Expansion (caompare parametric to non-parametric), Likelihood Ratio (LR) test and review (continuous failure time dist, quantitle, non-parametric estimates, Likelihood method,model checking)

STAT 486 Lecture 8: Model checking (Parametric model),. three graphical methods to do model checking (Plot, probability plot, standard Quantitle-Quantitle plot), model expansion

STAT 486 Lecture Notes - Lecture 7: By2

STAT 486 Lecture Notes - Lechon, Asteroid Family

STAT 486 Lecture 4: nonparametric estimation and graphical methods, kaplan-Meier(Product-limit) Estimate of S(t), Risk set, examples

STAT 471 Lecture 10: Steps of Designs for Fitting response surface (6 steps), Response Surface methodology (Steepest ascent and characteristics of response surface)