Missing Data: How to Best Account for What Is Not Known.
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Multiple Imputation: A Flexible Tool for Handling Missing Data.An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data.Risk of Acute Liver Injury With Antiretroviral Therapy by Viral Hepatitis Status.Hair dye use, regular exercise, and the risk and prognosis of prostate cancer: multicenter case-control and case-only studies.Disparities in Absolute Denial of Modern Hepatitis C Therapy by Type of Insurance.Noninferior Antibiotics: When Is "Not Bad" "Good Enough"?Venous thromboembolism in adults screened for sickle cell trait: a population-based cohort study with nested case-control analysisA Brief Smoking Cessation Advice by Youth Counselors for the Smokers in the Hong Kong Quit to Win Contest 2010: a Cluster Randomized Controlled Trial.Proportion and characteristics of men with unknown risk category in the National Prostate Cancer Register of Sweden.Rationale and design of the Study of a Tele-pharmacy Intervention for Chronic diseases to Improve Treatment adherence (STIC2IT): A cluster-randomized pragmatic trial.Improving the clinical management of women with borderline tumours: a recurrence risk scoring system from a French multicentre study.Prevalence and predictors of low muscle mass in HIV/viral hepatitis coinfection.Research Methods in Healthcare Epidemiology and Antimicrobial Stewardship-Observational Studies.Accounting for Missing Data in Clinical Research.Yield and bias in defining a cohort study baseline from electronic health record data.Suggested Reporting Guidelines to Improve Health-Related Social Work Research.A Fresh Pair of Eyes: A Blind Observation Method for Evaluating Social Skills of Children with ASD in a Naturalistic Peer Situation in School.Effects of stress ulcer prophylaxis in adult ICU patients receiving renal replacement therapy (Sup-Icu RENal, SIREN): Study protocol for a pre-planned observational study.Getting the most out of intensive longitudinal data: a methodological review of workload-injury studies
P2860
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P2860
Missing Data: How to Best Account for What Is Not Known.
description
2015 nî lūn-bûn
@nan
2015 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Missing Data: How to Best Account for What Is Not Known.
@ast
Missing Data: How to Best Account for What Is Not Known.
@en
type
label
Missing Data: How to Best Account for What Is Not Known.
@ast
Missing Data: How to Best Account for What Is Not Known.
@en
prefLabel
Missing Data: How to Best Account for What Is Not Known.
@ast
Missing Data: How to Best Account for What Is Not Known.
@en
P356
P1476
Missing Data: How to Best Account for What Is Not Known.
@en
P2093
Craig D Newgard
Roger J Lewis
P304
P356
10.1001/JAMA.2015.10516
P407
P577
2015-09-01T00:00:00Z