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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NOTE : In order to demonstrate the quality and comprehensiveness of our SAS Homework Solutions,following reference SAS Sample Assignment has been provided. This SAS Sample Assignment has been prepared by our SAS Experts just for your reference and they do not constitute to any of our previous Assignment/Homework solution deliveries.