SAS Homework Help

SAS Homework Help

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  • Least squares regression with model selection techniques
  • Diagnostic measures
  • Robust regression
  • Loess regression
  • Nonlinear regression and quadratic response surface models
  • Partial least squares regression
  • Quantile regression
  • Multivariate adaptive regression splines

Analysis of Variance

  • Balanced and unbalanced designs
  • Multivariate analysis of variance and repeated measurements
  • Linear models

Categorical Data Analysis

  • Contingency tables and measures of association
  • Logistic regression and log linear models
  • Bioassay analysis
  • Generalized estimating equations
  • Generalized linear models
  • Exact methods
  • Zero-inflated Poisson regression
  • Zero-inflated negative binomial regression

Bayesian Analysis

  • Bayesian modeling and inference for generalized linear models, accelerated failure time models, Cox regression models (piecewise constant baseline hazard) and finite mixture models
  • General Bayesian statistical models with user-specified priors and likelihood functions

Mixed Models

  • Linear mixed models
  • Nonlinear mixed models
  • Generalized linear mixed models

Multivariate Analysis

  • Factor analysis
  • Principal components
  • Canonical correlation and discriminant analysis
  • Path analysis
  • Structural equation modeling

Psychometric Analysis

  • Multidimensional scaling
  • Conjoint analysis with variable transformations
  • Correspondence analysis
Cluster Analysis

  • Hierarchical clustering of multivariate data or distance data
  • Disjoint clustering of large data sets
  • Nonparametric clustering with hypothesis tests for the number of clusters

Survival Analysis

  • Nonparametric estimation of survivor function
  • Accelerated failure time models
  • Proportional hazards models
  • Quantile regression models

Nonparametric Analysis

  • Nonparametric analysis of variance. Exact probabilities computed for many nonparametric statistics
  • Kruskal-Wallis, Wilcoxon-Mann-Whitney and Friedman tests
  • Rank tests for balanced or unbalanced one-way or two-way designs

Survey Data Analysis

  • Sample selection
  • Descriptive statistics and t-tests
  • Linear and logistic regression
  • Frequency table analysis
  • Cox proportional hazards model

Multiple Imputation

  • Regression and propensity score methods for monotone missing patterns
  • MCMC method for arbitrary missing patterns
  • Combine results for statistically valid inferences

Study Planning

  • Power and Sample Size application provides interface for computation of sample sizes and characterization of power for t-tests, confidence intervals, linear models, tests of proportions and rank tests for survival analysis

Multithreaded Procedures

Statistical Graphics

  • ODS Statistical Graphics
  • Scatter plots, diagnostic plots, histograms, box-and-whisker plots

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