Stratifying the Analysis of Dichotomous Outcomes: Confounders and Effect Modifiers; The Mantel–Haenszel Method (English)
- New search for: Schulman, Joseph
- New search for: Schulman, Joseph
In:
Managing Your Patients' Data in the Neonatal and Pediatric ICU
: An Introduction to Databases and Statistical Analysis
;
258-268
;
2006
-
ISBN:
- Article/Chapter (Book) / Electronic Resource
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Title:Stratifying the Analysis of Dichotomous Outcomes: Confounders and Effect Modifiers; The Mantel–Haenszel Method
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Contributors:Schulman, Joseph ( author )
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Published in:Managing Your Patients' Data in the Neonatal and Pediatric ICU : An Introduction to Databases and Statistical Analysis ; 258-268
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Publisher:
- New search for: Blackwell Publishing Ltd
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Place of publication:Oxford, UK
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Publication date:2006-01-01
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Size:11 pages
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ISBN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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IntroductionSchulman, Joseph et al. | 2006
- 9
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Paper‐based Patient RecordsSchulman, Joseph et al. | 2006
- 13
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Computer‐based Patient RecordsSchulman, Joseph et al. | 2006
- 17
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Aims of a Patient Data Management ProcessSchulman, Joseph et al. | 2006
- 20
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Data, Information, and KnowledgeSchulman, Joseph et al. | 2006
- 25
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Single Tables and Their LimitationsSchulman, Joseph et al. | 2006
- 29
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Multiple Tables: Where to Put the Data, Relationships Among Tables, and Creating a DatabaseSchulman, Joseph et al. | 2006
- 42
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Relational Database Management Systems: Normalization (Codd's Rules)Schulman, Joseph et al. | 2006
- 48
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From Data Model to Database SoftwareSchulman, Joseph et al. | 2006
- 60
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Integrity: Anticipating and Preventing Data Accuracy ProblemsSchulman, Joseph et al. | 2006
- 67
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Queries, Forms, and ReportsSchulman, Joseph et al. | 2006
- 94
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Programming for Greater Software ControlSchulman, Joseph et al. | 2006
- 113
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Turning Ideas into a Useful Tool: eNICU, Point of Care Database Software for the NICUSchulman, Joseph et al. | 2006
- 133
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Making eNICU Serve Your Own NeedsSchulman, Joseph et al. | 2006
- 146
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Single Versus Multiple UsersSchulman, Joseph et al. | 2006
- 151
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Backup and Recovery: Assuring Your Data PersistsSchulman, Joseph et al. | 2006
- 157
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Security: Controlling Access and Protecting Patient ConfidentialitySchulman, Joseph et al. | 2006
- 175
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Preparing to Analyze DataSchulman, Joseph et al. | 2006
- 175
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Asking Questions of a Data Set: Crafting a Conceptual Framework and Testable HypothesisSchulman, Joseph et al. | 2006
- 183
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Stata: A Software Tool to Analyze Data and Produce Graphical DisplaysSchulman, Joseph et al. | 2006
- 195
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Variable TypesSchulman, Joseph et al. | 2006
- 198
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Measurement Values Vary: Describing Their Distribution and Summarizing Them QuantitativelySchulman, Joseph et al. | 2006
- 220
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Data From All Versus Some: Populations and SamplesSchulman, Joseph et al. | 2006
- 224
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Estimating Population Parameters: Confidence IntervalsSchulman, Joseph et al. | 2006
- 228
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Comparing Two Sample Means and Testing a HypothesisSchulman, Joseph et al. | 2006
- 238
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Type I and Type II Error in a Hypothesis Test, Power, and Sample SizeSchulman, Joseph et al. | 2006
- 244
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Comparing Proportions: Introduction to Rates and OddsSchulman, Joseph et al. | 2006
- 251
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Conclusion: The Challenge of Transforming Data and Information to Shared Knowledge: Tools That Make Us SmartSchulman, Joseph et al. | 2006
- 258
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Stratifying the Analysis of Dichotomous Outcomes: Confounders and Effect Modifiers; The Mantel–Haenszel MethodSchulman, Joseph et al. | 2006
- 269
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Ways to Measure and Compare the Frequency of Outcomes, and Standardization to Compare RatesSchulman, Joseph et al. | 2006
- 278
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Comparing the Means of More Than Two SamplesSchulman, Joseph et al. | 2006
- 287
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Assuming Little About the Data: Nonparametric Methods of Hypothesis TestingSchulman, Joseph et al. | 2006
- 290
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Correlation: Measuring the Relationship Between Two Continuous VariablesSchulman, Joseph et al. | 2006
- 294
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Predicting Continuous Outcomes: Univariate and Multivariate Linear RegressionSchulman, Joseph et al. | 2006
- 311
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Predicting Dichotomous Outcomes: Logistic Regression, and Receiver Operating CharacteristicSchulman, Joseph et al. | 2006
- 325
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Predicting Outcomes Over Time: Survival AnalysisSchulman, Joseph et al. | 2006
- 346
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Choosing Variables and Hypotheses: Practical ConsiderationsSchulman, Joseph et al. | 2006
- 355
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ReferencesSchulman, Joseph et al. | 2006
- 361
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IndexSchulman, Joseph et al. | 2006
- i
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FrontmatterSchulman, Joseph et al. | 2006