FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W377295446> ?p ?o ?g. }

• W377295446 abstract "Applied Survey Data Analysis: Overview Introduction A Brief History of Applied Survey Data Analysis Example Data Sets and Exercises Getting to Know the Complex Sample Design Introduction Classification of Sample Designs Target Populations and Survey Populations Simple Random Sampling: A Simple Model for Design-Based Inference Complex Sample Design Effects Complex Samples: Clustering and Stratification Weighting in Analysis of Survey Data Multistage Area Probability Sample Designs Special Types of Sampling Plans Encountered in Surveys Foundations and Techniques for Design-Based Estimation and Inference Introduction Finite Populations and Superpopulation Models Confidence Intervals for Population Parameters Weighted Estimation of Population Parameters Probability Distributions and Design-Based Inference Variance Estimation Hypothesis Testing in Survey Data Analysis Total Survey Error and Its Impact on Survey Estimation and Inference Preparation for Complex Sample Survey Data Analysis Introduction Analysis Weights: Review by the Data User Understanding and Checking the Sampling Error Calculation Model Addressing Item Missing Data in Analysis Variables Preparing to Analyze Data for Sample Subpopulations A Final Checklist for Data Users Descriptive Analysis for Continuous Variables Introduction Special Considerations in Descriptive Analysis of Complex Sample Survey Data Simple Statistics for Univariate Continuous Distributions Bivariate Relationships between Two Continuous Variables Descriptive Statistics for Subpopulations Linear Functions of Descriptive Estimates and Differences of Means Exercises Categorical Data Analysis Introduction A Framework for Analysis of Categorical Survey Data Univariate Analysis of Categorical Data Bivariate Analysis of Categorical Data Analysis of Multivariate Categorical Data Exercises Linear Regression Models Introduction The Linear Regression Model Four Steps in Linear Regression Analysis Some Practical Considerations and Tools Application: Modeling Diastolic Blood Pressure with the NHANES Data Exercises Logistic Regression and Generalized Linear Models (GLMs) for Binary Survey Variables Introduction GLMs for Binary Survey Responses Building the Logistic Regression Model: Stage 1, Model Specification Building the Logistic Regression Model: Stage 2, Estimation of Model Parameters and Standard Errors Building the Logistic Regression Model: Stage 3, Evaluation of the Fitted Model Building the Logistic Regression Model: Stage 4, Interpretation and Inference Analysis Application Comparing the Logistic, Probit, and Complementary Log-Log GLMs for Binary Dependent Variables Exercises GLMs for Multinomial, Ordinal, and Count Variables Introduction Analyzing Survey Data Using Multinomial Logit Regression Models Logistic Regression Models for Ordinal Survey Data Regression Models for Count Outcomes Exercises Survival Analysis of Event History Survey Data Introduction Basic Theory of Survival Analysis (Nonparametric) Kaplan-Meier Estimation of the Survivor Function Cox Proportional Hazards Model Discrete Time Survival Models Exercises Multiple Imputation: Methods and Applications for Survey Analysts Introduction Important Missing Data Concepts An Introduction to Imputation and the Multiple Imputation Method Models for Multiply Imputing Missing Data Creating the Imputations Estimation and Inference for Multiply Imputed Data Applications to Survey Data Exercises Advanced Topics in the Analysis of Survey Data Introduction Bayesian Analysis of Complex Sample Survey Data Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis Fitting Structural Equation Models to Complex Sample Survey Data Small Area Estimation and Complex Sample Survey Data Nonparametric Methods for Complex Sample Survey Data References Appendix: Software Overview" @default.
• W377295446 created "2016-06-24" @default.
• W377295446 creator A5010637807 @default.
• W377295446 creator A5031166206 @default.
• W377295446 creator A5055672929 @default.
• W377295446 date "2010-04-05" @default.
• W377295446 modified "2023-09-30" @default.
• W377295446 title "Applied Survey Data Analysis" @default.
• W377295446 cites W1561866268 @default.
• W377295446 cites W2085612240 @default.
• W377295446 cites W2260022170 @default.
• W377295446 cites W304369 @default.
• W377295446 cites W332182675 @default.
• W377295446 doi "https://doi.org/10.1201/9781420080674" @default.
• W377295446 hasPublicationYear "2010" @default.
• W377295446 type Work @default.
• W377295446 sameAs 377295446 @default.
• W377295446 citedByCount "480" @default.
• W377295446 countsByYear W3772954462012 @default.
• W377295446 countsByYear W3772954462013 @default.
• W377295446 countsByYear W3772954462014 @default.
• W377295446 countsByYear W3772954462015 @default.
• W377295446 countsByYear W3772954462016 @default.
• W377295446 countsByYear W3772954462017 @default.
• W377295446 countsByYear W3772954462018 @default.
• W377295446 countsByYear W3772954462019 @default.
• W377295446 countsByYear W3772954462020 @default.
• W377295446 countsByYear W3772954462021 @default.
• W377295446 countsByYear W3772954462022 @default.
• W377295446 countsByYear W3772954462023 @default.
• W377295446 crossrefType "book" @default.
• W377295446 hasAuthorship W377295446A5010637807 @default.
• W377295446 hasAuthorship W377295446A5031166206 @default.
• W377295446 hasAuthorship W377295446A5055672929 @default.
• W377295446 hasConcept C105795698 @default.
• W377295446 hasConcept C198477413 @default.
• W377295446 hasConcept C33923547 @default.
• W377295446 hasConcept C41008148 @default.
• W377295446 hasConceptScore W377295446C105795698 @default.
• W377295446 hasConceptScore W377295446C198477413 @default.
• W377295446 hasConceptScore W377295446C33923547 @default.
• W377295446 hasConceptScore W377295446C41008148 @default.
• W377295446 hasLocation W3772954461 @default.
• W377295446 hasOpenAccess W377295446 @default.
• W377295446 hasPrimaryLocation W3772954461 @default.
• W377295446 hasRelatedWork W1596801655 @default.
• W377295446 hasRelatedWork W2130043461 @default.
• W377295446 hasRelatedWork W2350741829 @default.
• W377295446 hasRelatedWork W2358668433 @default.
• W377295446 hasRelatedWork W2376932109 @default.
• W377295446 hasRelatedWork W2382290278 @default.
• W377295446 hasRelatedWork W2390279801 @default.
• W377295446 hasRelatedWork W2748952813 @default.
• W377295446 hasRelatedWork W2899084033 @default.
• W377295446 hasRelatedWork W2530322880 @default.
• W377295446 isParatext "false" @default.
• W377295446 isRetracted "false" @default.
• W377295446 magId "377295446" @default.
• W377295446 workType "book" @default.