About: James Carpenter

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher (ORCID 0000-0003-3890-6206)

Attributes	Values
rdf:type	Item
description	forskare (sv) 연구원 (ko) ricercatore (it) 研究者 (ja) araştırmacı (tr) wetenschapper (nl) дослідник (uk) эрдэмтэн (mn) वैज्ञानिक (hi) 研究者 (zh) հետազոտող (hy) hulumtues (sq) researcher (ORCID 0000-0003-3890-6206) (en)
rdfs:label	James Carpenter (en) James Carpenter (es) James Carpenter (nl) James Carpenter (sl) James Carpenter (ast) জেমস কারপেন্টার (bn) James Carpenter (tr)
skos:prefLabel	James Carpenter (en) James Carpenter (es) James Carpenter (nl) James Carpenter (sl) James Carpenter (ast) জেমস কারপেন্টার (bn) James Carpenter (tr)
name	James Carpenter (en) James Carpenter (es) James Carpenter (nl) James Carpenter (sl) James Carpenter (ast) জেমস কারপেন্টার (bn) James Carpenter (tr)
Scopus author ID	wds:Q52569383-3A846D36-1DB0-4943-97A4-8444A7516DDD
Scopus author ID	7402041051
given name	wds:Q52569383-174C3C46-6838-4DE3-A66B-BE21BE74257D
given name	James
instance of	wds:Q52569383-DF61572F-958D-46E9-A599-E7FA2BF28230
instance of	Homo sapiens
occupation	wds:Q52569383-7FC0936E-CF91-48A3-9DC9-1BE42FF24202
employer	wds:Q52569383-4EC0143A-A2D4-48ED-BE79-10092D8348EA
sex or gender	wds:Q52569383-584e146f-48ff-6fa7-c55d-10f2ad867885
VIAF ID	wds:Q52569383-188B8886-07D1-41F2-9603-7C43528C6A78
GND ID	wds:Q52569383-4ce720ea-bb0b-4918-aa2f-462fa06d3a34
Library of Congress authority ID	wds:Q52569383-EDA81724-5278-4BBC-9C3C-48644A960B48
IdRef ID	wds:Q52569383-F059389D-474D-4043-81E6-784C1208B87F
SHARE Catalogue author ID	wds:Q52569383-37EDEF5E-246B-44C9-91C5-7732799A05D6
educated at	wds:Q52569383-8279E795-9BA5-4E38-9279-A2A1DFD8918B
family name	wds:Q52569383-A577868E-75BF-457E-A497-C0403EB2E317
WorldCat Identities ID (superseded)	wds:Q52569383-DE5B407E-CD1B-4F5B-A23A-CC862BF7E984
National Library of Israel J9U ID	wds:Q52569383-A2C29FA7-40F2-45B4-BCAD-C67C936C77EA
VIAF ID	http://viaf.org/viaf/260997663
GND ID	https://d-nb.info/gnd/1030401640
Library of Congress authority ID	http://id.loc.gov/authorities/names/n2012186498
IdRef ID	http://www.idref.fr/188391959/id
occupation	researcher
employer	London School of Hygiene & Tropical Medicine
sex or gender	male
VIAF ID	260997663
GND ID	1030401640
Library of Congress authority ID	n2012186498
IdRef ID	188391959
SHARE Catalogue author ID	755631
educated at	University of Oxford
family name	Carpenter
WorldCat Identities ID (superseded)	lccn-n2012186498
National Library of Israel J9U ID	987007393507805171
ORCID iD	wds:Q52569383-BF53AA81-CA18-4BEC-9B05-FE8BC7AC07B3
ORCID iD	https://orcid.org/0000-0003-3890-6206
ORCID iD	0000-0003-3890-6206
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q52569383
is author of	Multiple imputation: current perspectives The performance of multiple imputation for missing covariates relative to complete case analysis. Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation Can We Improve the Statistical Analysis of Stroke Trials? Undue reliance on I(2) in assessing heterogeneity may mislead Consumer involvement in consent document development: a multicenter cluster randomized trial to assess study participants' understanding. Detecting and adjusting for small-study effects in meta-analysis Coping with missing data in clinical trials: a model-based approach applied to asthma trials Bed sharing when parents do not smoke: is there a risk of SIDS? An individual level analysis of five major case-control studies Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls Treatment-effect estimates adjusted for small-study effects via a limit meta-analysis Arcsine test for publication bias in meta-analyses with binary outcomes. Why add anything to nothing? The arcsine difference as a measure of treatment effect in meta-analysis with zero cells. Strategy for intention to treat analysis in randomised trials with missing outcome data Strategies for Multiple Imputation in Longitudinal Studies Empirical evaluation suggests Copas selection model preferable to trim-and-fill method for selection bias in meta-analysis. Including all individuals is not enough: lessons for intention-to-treat analysis Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data Sensitivity analysis after multiple imputation under missing at random: a weighting approach Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation Multiple imputation models should incorporate the outcome in the model of interest. Propensity scores: from naive enthusiasm to intuitive understanding Modelling relative survival in the presence of incomplete data: a tutorial Identification of risk factors by systematic review and development of risk-adjusted models for surgical site infection Eliciting and using expert opinions about dropout bias in randomized controlled trials A brief measure of perceived understanding of informed consent in a clinical trial was validated ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

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