Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism.
about
Epidemiologic measures and policy formulation: lessons from potential outcomes."Are we there yet?": Deciding when one has demonstrated specific genetic causation in complex diseases and quantitative traits.Comparing treatments via the propensity score: stratification or modeling?Transmission-disequilibrium tests for quantitative traits.Randomization-Based Inference within Principal Strata.Analysis of repeated low-dose challenge studies.Randomization inference for treatment effects on a binary outcome.Causal mediation analysis for longitudinal data with exogenous exposure.Causal inference with longitudinal outcomes and non-ignorable drop-out: Estimating the effect of living alone on cognitive decline.Virginity pledges among the willing: delays in first intercourse and consistency of condom use.Estimating Causal Effects of Long-Term PM2.5 Exposure on Mortality in New Jersey.Estimating the effects of potential public health interventions on population disease burden: a step-by-step illustration of causal inference methodsChecklists of methodological issues for review authors to consider when including non-randomized studies in systematic reviews.Quantile causal mediation analysis allowing longitudinal data.The development of scientific evidence for health policies for obesity: why and how?Analysis of recurrent events: application to a clinical trial of colony stimulating factor with the endpoint of febrile neutropenia.Estimating treatment effects in randomised controlled trials with non-compliance: a simulation study.Confounding and effect modification: distribution and measure.The impact of nutritional supplement intake on diet behavior and obesity outcomesMeasuring the effect of policy interventions at the population level: some methodological concerns.Limitations of individual causal models, causal graphs, and ignorability assumptions, as illustrated by random confounding and design unfaithfulness.Using interviews to understand the assignment mechanism in a nonexperimental study: the case of eighth grade algebra.Value of EQ-5D in Mexican city older population with and without dementia (SADEM study).Observational research rigour alone does not justify causal inference.Statistical power for nonequivalent pretest-posttest designs. The impact of change-score versus ANCOVA models.A new form of meta-analysis for combining results from randomized clinical trials and medical-practice databases.Instrumental variables when evaluating screening trials: estimating the benefit of detecting cancer by screening.Estimating causal effects.Using inverse weighting and predictive inference to estimate the effects of time-varying treatments on the discrete-time hazard.Impact of ischaemia and scar on the therapeutic benefit derived from myocardial revascularization vs. medical therapy among patients undergoing stress-rest myocardial perfusion scintigraphy.Response to comment on 'Randomization inference for treatment effects on a binary outcome'.Randomization and baseline transmission in vaccine field trialsMicroarrayA Parallel Evolutionary Algorithm for Subset Selection in Causal Inference Models%CEM: a SAS macro to perform coarsened exact matchingMultiple-imputation for measurement-error correction
P2860
Q24815102-B4AFB1D1-B362-4C38-92AC-D84AA109111CQ30334349-80042D99-4A6E-4E36-A2E3-AFBCE5B95BAEQ34546982-6FBBCB00-D402-45EC-BA48-B39F0F76E416Q35238827-BE686EDF-BBD5-4B20-9DC2-F4A24DF8F35EQ35285899-15728C5A-CF0E-4C05-B4AF-49E99AF284C8Q35572202-553FB830-8F35-4C73-AE9F-FAE35D708B77Q35694812-8907DA2A-A70A-4A2E-BB8F-1609B4EA7D42Q35745730-BE3665DE-B7D9-4BB5-BF2B-068F9CCD8C00Q36522226-B572DE00-CE59-489F-823B-5328E0DD52A0Q36808341-047F4DF0-225E-4469-AAD4-57FD14F31E63Q37158774-C41319B3-78CD-4591-BAC0-ED588A272527Q37321540-3C16C068-2ACF-482E-BFEE-ECE248FD8F07Q38520318-CD9D0783-F8F0-479A-B6BB-BB6992827FB7Q38635429-7E5C4689-06BB-4AA5-A6F3-54004155D9ADQ39178430-A7521E26-76E3-4DDF-B7EE-2A0F942365E3Q40633360-459BE31E-69D6-4ED1-8DF3-19ACC89240D5Q41049457-B48CAA11-EDD5-4591-8D87-9877B5FDD528Q42289026-00688BFD-8F47-43AD-AF98-7D62410FAB7CQ42708401-48C52888-2394-489E-81D8-DB5C7CB112A2Q43850560-96B03C78-643A-4340-9A58-69375BBEB5DFQ46100608-29C85D5F-275F-4F71-AEE7-2536E04EA992Q46349452-DA17075B-3AE9-410A-88A9-410CBA810D6AQ48152800-0B67A8A5-6D26-491B-A665-352EC54BB47DQ49427362-2C81577D-47CC-4F5B-BCA1-9DF2B906BB83Q52067856-522ABFDD-B95B-4CE4-AD9E-C4AF75BB8776Q52885014-B2607571-81BA-480C-9817-2A3EAD2A812CQ52916067-7060D814-A04B-454F-B2AF-DE5621A1437DQ52939142-032885E4-E788-423C-BE92-7A58648582E1Q52941109-D28444D4-193D-4B19-A98D-AE9793EF1A05Q53248514-90091077-63FF-4CF6-95BD-A058F9EE5F5EQ54308086-9C2F9654-0B52-4896-89D3-4E1630ED5EABQ57163790-9E633700-4CA2-4D62-95D8-7298EF48733DQ57314434-8196AC04-7907-4F9C-8B86-457BA8031AFFQ58148465-C1532927-06DE-4529-9235-64265EC909BFQ58287488-4FF721C6-136E-4228-A67E-C8838C125C34Q58322351-DD97F36B-7D18-4695-9F04-2529C0B78CAD
P2860
Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism.
description
1991 nî lūn-bûn
@nan
1991年の論文
@ja
1991年学术文章
@wuu
1991年学术文章
@zh
1991年学术文章
@zh-cn
1991年学术文章
@zh-hans
1991年学术文章
@zh-my
1991年学术文章
@zh-sg
1991年學術文章
@yue
1991年學術文章
@zh-hant
name
Practical implications of mode ...... e of the assignment mechanism.
@en
Practical implications of mode ...... e of the assignment mechanism.
@nl
type
label
Practical implications of mode ...... e of the assignment mechanism.
@en
Practical implications of mode ...... e of the assignment mechanism.
@nl
prefLabel
Practical implications of mode ...... e of the assignment mechanism.
@en
Practical implications of mode ...... e of the assignment mechanism.
@nl
P356
P1433
P1476
Practical implications of mode ...... e of the assignment mechanism.
@en
P2093
P304
P356
10.2307/2532381
P407
P577
1991-12-01T00:00:00Z