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Missing Data

Analysis and Design

John W. Graham

Mathematics and Statistics (R0)

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關於本書

語言：English
ISBN：9781461440185
發行日期：2016年7月5日
出版商：Springer New York

出版單位：Springer
檔案格式：EPUB2
檔案大小：1.95 MB
下載選項：EPUB2 (Adobe DRM)

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延伸閱讀

Applied Predictive Modeling

Statistics for the Health Sciences

Applied Logistic Regression

Applied Longitudinal Data Analysis for Epidemiology

Structural Equation Modeling with Mplus

Reinforcement Learning

Latent Variable Modeling Using R

Designing Experiments and Analyzing Data

Missing Data

Foundations of Linear and Generalized Linear Models

Generalized Linear Models for Insurance Data

Regression Modeling Strategies

Statistical Data Analytics

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ANOVA for the Behavioral Sciences Researcher

Quantile Regression

Applied Longitudinal Analysis

The Analysis of Covariance and Alternatives

Explaining Psychological Statistics

Behavioral Research Data Analysis with R

Essential Statistical Methods for Medical Statistics

Analysis of Ordinal Categorical Data

Discovering Statistics Using SAS

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

Basic Statistics

Categorical Data Analysis

Statistical Power Analysis for the Behavioral Sciences

Sample Size Determination and Power

Latent Class Analysis of Survey Error

Contingency Table Analysis

Modeling Binary Correlated Responses using SAS, SPSS and R

Meta-Analysis with R

Intermediate Statistics

Multiple Imputation and its Application

Data Analysis and Graphics Using R

Statistical Learning for Biomedical Data

Monte-Carlo Simulation-Based Statistical Modeling

Statistical Methods in Food and Consumer Research

Indirect Questioning in Sample Surveys

Observational Studies

Understanding and Using Advanced Statistics

Recent Advances in Robust Statistics: Theory and Applications

Modeling Discrete Time-to-Event Data

Current Topics in the Theory and Application of Latent Variable Models

Small Area Estimation

Analysis of Repeated Measures Data

Data Mining and Business Analytics with R

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Harmonising Demographic and Socio-Economic Variables for Cross-National Comparative Survey Research

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Applied Quantitative Analysis in Education and the Social Sciences

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Biostatistics for Epidemiology and Public Health Using R

The Design and Statistical Analysis of Animal Experiments

Topics in Applied Statistics

Nonparametric Statistical Methods

Estimation and Inferential Statistics

Excel 2016 for Health Services Management Statistics

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Introduction to Statistical Mediation Analysis

Nonparametric Statistics for Applied Research

Evidence Synthesis for Decision Making in Healthcare

German-Japanese Interchange of Data Analysis Results

Statistics for Advanced Practice Nurses and Health Professionals

Design of Experiments in Nonlinear Models

Categorical and Nonparametric Data Analysis

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