Interpreting observational studies: why empirical calibration is needed to correct p-values
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p-Curve and p-Hacking in Observational ResearchA curated and standardized adverse drug event resource to accelerate drug safety researchCharacterizing treatment pathways at scale using the OHDSI networkBrief Report: Negative Controls to Detect Selection Bias and Measurement Bias in Epidemiologic StudiesThe Development of Extremely Preterm Infants Born to Women Who Had Genitourinary Infections During PregnancyLimitations of empirical calibration of p-values using observational dataData Extraction and Management in Networks of Observational Health Care Databases for Scientific Research: A Comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies.Robust empirical calibration of p-values using observational dataP-values and decision-making: discussion of 'Limitations of empirical calibration of p-values using observational data'.Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.Driving fatalities on US presidential election days: a reanalysisA method for systematic discovery of adverse drug events from clinical notesSystematic assessment of pharmaceutical prescriptions in association with cancer risk: a method to conduct a population-wide medication-wide longitudinal studyDiscussion: An estimate of the science-wise false discovery rate and application to the top medical literature.Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distributionRisk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network.Methods to control for unmeasured confounding in pharmacoepidemiology: an overview.A New Method for Partial Correction of Residual Confounding in Time-Series and Other Observational Studies.Atypical Antipsychotics and the Risks of Acute Kidney Injury and Related Outcomes Among Older Adults: A Replication Analysis and an Evaluation of Adapted Confounding Control Strategies.Accuracy of an automated knowledge base for identifying drug adverse reactions.Utilization of Positive and Negative Controls to Examine Comorbid Associations in Observational Database Studies.Bayesian sensitivity analysis for unmeasured confounding in causal mediation analysis.Cohort profile for the MASTERMIND study: using the Clinical Practice Research Datalink (CPRD) to investigate stratification of response to treatment in patients with type 2 diabetes.Channeling in the Use of Nonprescription Paracetamol and Ibuprofen in an Electronic Medical Records Database: Evidence and Implications.The probability of probability and research truths.Risk of lower extremity amputations in people with type 2 diabetes mellitus treated with sodium-glucose co-transporter-2 inhibitors in the USA: A retrospective cohort study.Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data.Medication changes after switching from CONCERTA® brand methylphenidate HCl to a generic long-acting formulation: A retrospective database study.Empirical performance of a self-controlled cohort method: lessons for developing a risk identification and analysis system.Negative control exposure studies in the presence of measurement error: implications for attempted effect estimate calibration.Improving reproducibility by using high-throughput observational studies with empirical calibration
P2860
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P2860
Interpreting observational studies: why empirical calibration is needed to correct p-values
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Interpreting observational stu ...... is needed to correct p-values
@ast
Interpreting observational stu ...... is needed to correct p-values
@en
Interpreting observational stu ...... is needed to correct p-values
@en-gb
Interpreting observational stu ...... is needed to correct p-values
@nl
type
label
Interpreting observational stu ...... is needed to correct p-values
@ast
Interpreting observational stu ...... is needed to correct p-values
@en
Interpreting observational stu ...... is needed to correct p-values
@en-gb
Interpreting observational stu ...... is needed to correct p-values
@nl
prefLabel
Interpreting observational stu ...... is needed to correct p-values
@ast
Interpreting observational stu ...... is needed to correct p-values
@en
Interpreting observational stu ...... is needed to correct p-values
@en-gb
Interpreting observational stu ...... is needed to correct p-values
@nl
P2860
P50
P3181
P356
P1476
Interpreting observational stu ...... is needed to correct p-values
@en
P2093
Martijn J Schuemie
Patrick B Ryan
P2860
P304
P3181
P356
10.1002/SIM.5925
P407
P577
2014-01-30T00:00:00Z