missing data - Globe Thesis

Keyword [missing data] Result: 1 - 20 \| Page: 1 of 3
1.	Epidemiology Survey Of Gastroesophageal Reflux Disease And Analysis Of Missing Data
2.	Structural Equation Modeling Study Based On The GI Epidemiological Survey Data
3.	A Sensitivity And Specificity Analysis Of A Medical Diagnostic Test When The Data Is Incomplete
4.	Computer Simulation Of Multiple Imputation For Analyzing Parallel Design And Crossover Design With Missing Data In Clinical Trial
5.	Multilevel Logistic Model And Its Application Of Epidemiological Survey Data
6.	The Impact Of Data Missingness And Related Factors On Stepwise Variable Selection
7.	The Estimation And Application Of Missing Data
8.	The Research On The Key Algorithm Of Orthognathic Surgery Simulation Based On The Regional Statistical Deformable Model
9.	Framework Construction Of ’Comparative Study Of Statistics’ And Demonstration Research On Regression Analysis
10.	Doubly Robust Inverse Probability Weighting Methods For Missing Primary Endpoint Data In Clinical Trials
11.	The Study Of Missing Data Processing Method In Clinical Research Of Traditional Chinese Medicine
12.	Compairng Different Methods In Non-inferiority Trials With Missing Data
13.	The Sensitivity Analysis For Longitudinal Missing Data And Corresponding Effects Of Intervention In Cardiac Rehabilitation
14.	Multiple Imputation For The Non-monotone Missing Data And The Application Of Cardiac Rehabilition Comprehensive Intervention Effect Evaluation
15.	Cardiovascular Disease Epidemiological Survey Data To Fill In The Missing Comparison And Simulation Research Methods
16.	The Stasistic Method Of Incomplete Data With Application In Medical Research
17.	Study On The Predictive Model Of Malignant Tumor Progression Based On The Individual Symptom Characteristic Sequence
18.	Multiple Imputation For Missing Data That Including A Ratio And Evaluation And Application The Effect Of Intervention That Implement The Secondary Prevention Of Cardiac Rehabilitation
19.	Multiple Imputation And Mixed-effects Model Applied In Longitudinal Data With Missing Data
20.	Weighted Estimating Equations For Longitudinal Studies With Missing Data And Binary Outcomes
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