Writing a discussion section: how to integrate substantive and statistical expertise.

scientific article published on 17 April 2018

Writing a discussion section: how to integrate substantive and statistical expertise. is …
instance of (P31):
scholarly articleQ13442814
review articleQ7318358

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P6179Dimensions Publication ID1103408659
P356DOI10.1186/S12874-018-0490-1
P2888exact matchhttps://scigraph.springernature.com/pub.10.1186/s12874-018-0490-1
P932PMC publication ID5905138
P698PubMed publication ID29665780

P50authorMichael HöflerQ88389366
P2093author name stringRobert Miller
Sebastian Trautmann
John Venz
P2860cites workHow to Craft a Strong Discussion SectionQ87727934
The Bradford Hill considerations on causality: a counterfactual perspectiveQ21245024
The extent and consequences of p-hacking in scienceQ24288794
Increasing disparities between resource inputs and outcomes, as measured by certain health deliverables, in biomedical researchQ24289253
CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trialsQ24614759
Epidemiologic measures and policy formulation: lessons from potential outcomesQ24815102
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretationsQ27316649
Bayesian perspectives for epidemiologic research: III. Bias analysis via missing-data methodsQ33501881
Causation of bias: the episcopeQ34118854
The effect of misclassification on the estimation of association: a review.Q36263371
Depression and cancer risk: a register-based study of patients hospitalized with affective disorders, Denmark, 1969-1993.Q38488991
Confidence intervals rather than P values: estimation rather than hypothesis testingQ41379048
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studiesQ42591767
The case for structuring the discussion of scientific papersQ42762158
The function of the discussion section in academic medical writingQ42767194
Good practices for quantitative bias analysisQ44407860
Bias, prevalence and kappaQ45211420
Bayesian perspectives for epidemiological research: I. Foundations and basic methodsQ46868017
Invited Commentary: The Need for Cognitive Science in MethodologyQ47319352
The Discussion Section Tells Us Where We Are.Q48349478
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue1
P921main subjectstatisticsQ12483
medical researchQ2752427
biomedical investigative techniqueQ66648976
P304page(s)34
P577publication date2018-04-17
P1433published inBMC Medical Research MethodologyQ15752152
P1476titleWriting a discussion section: how to integrate substantive and statistical expertise
P478volume18

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Q93186497The Principles of Biomedical Scientific Writing: Discussioncites workP2860

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